At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.
About the role
In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)
We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package.
Improving the core abstractions and runtime of the langchain and langgraph packages
Improving documentation
Answering user questions and resolving issues
Use langchain to build example applications
What You'll Do
Improve the core abstractions and runtime of the LangChain and LangGraph packages
Improve documentation across the LangChain ecosystem
Answer user questions and resolve issues from the community
Use LangChain to build example applications that demonstrate how to build production AI systems
What You'll Bring
5+ years of software engineering or applied machine learning experience
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company
An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision
Compensation
Annual salary range: $150,000- $250,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.\n\n\n\nAbout the role\n\nIn person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package. \n\n - Improving the core abstractions and runtime of the langchain and langgraph packages\n\n - Improving documentation https://python.langchain.com/docs/integrations/providers/\n\n - Answering user questions and resolving issues\n\n - Use langchain to build example applications\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the community\n\n - Use LangChain to build example applications that demonstrate how to build production AI systems\n\n\n\nWhat You'll Bring\n\n - 5+ years of software engineering or applied machine learning experience\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company\n\n - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision\n \n\nCompensation\n\n - Annual salary range: $150,000- $250,000 \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"9930dd01-d12e-42e1-b751-5240c3814f85","title":"Enterprise Account Executive (San Francisco Bay Area)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-24T01:29:34.985+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9930dd01-d12e-42e1-b751-5240c3814f85","applyUrl":"https://jobs.ashbyhq.com/langchain/9930dd01-d12e-42e1-b751-5240c3814f85/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"afb91b9b-46d5-4c9d-aa84-a4f1a3f74263","title":"Senior Frontend Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-08-13T18:33:10.038+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/afb91b9b-46d5-4c9d-aa84-a4f1a3f74263","applyUrl":"https://jobs.ashbyhq.com/langchain/afb91b9b-46d5-4c9d-aa84-a4f1a3f74263/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This position can be based remotely in
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. You view unstructured environments as an opportunity to make the most impactful work and to help define what's next.
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field.
Compensation
Annual salary range: $180,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nThis position can be based remotely in \n\n\n\nWe’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. \n\n\n\n\nWHAT YOU WILL DO\n\n - Develop new user-facing features using React & Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n \n \n\n\nWHAT YOU WILL BRING\n\n - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. You view unstructured environments as an opportunity to make the most impactful work and to help define what's next.\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field. \n\n\n\nCompensation \n\nAnnual salary range: $180,000-$240,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"a03b3e54-495d-4960-aee7-0194a3cef57d","title":"Senior Fullstack Engineer, AI Observability & Evals Platform (SF)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2025-02-19T01:34:44.923+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/a03b3e54-495d-4960-aee7-0194a3cef57d","applyUrl":"https://jobs.ashbyhq.com/langchain/a03b3e54-495d-4960-aee7-0194a3cef57d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About Us:
In person 5 days/week in San Francisco
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
Collaborate closely with product and design teams to iterate on new features.
Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
Lead by example in writing clean, maintainable, and well-tested code
5+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
Strong understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Strong ownership mindset
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout Us:\n\n\nABOUT THE ROLE\n\nIn person 5 days/week in San Francisco\n\nWe're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.\n\n\n\nWHAT YOU WILL DO\n\n - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.\n\n - Collaborate closely with product and design teams to iterate on new features.\n\n - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.\n\n - Lead by example in writing clean, maintainable, and well-tested code\n\n\n\n\nWHAT YOU BRING\n\n - 5+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.\n\n - Strong understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application\n\n - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Strong ownership mindset\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n \n \n\nCompensation \n\n - Annual salary range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8aa63e71-b431-49d7-ab4a-bf4b3630d8e6","title":"Senior Technical Support Engineer","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Chicago, IL","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}}},{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"Atlanta, GA","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}}},{"location":"Tampa, FL","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Tampa"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Washington DC","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}}},{"location":"Los Angeles, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-10-09T22:11:38.364+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8aa63e71-b431-49d7-ab4a-bf4b3630d8e6","applyUrl":"https://jobs.ashbyhq.com/langchain/8aa63e71-b431-49d7-ab4a-bf4b3630d8e6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms
Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
Partner with Deployed Engineering to support critical enterprise customers.
Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
Lead post-mortems for critical incidents and feed learnings back into product and documentation.
Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
Mentor and coach other support engineers.
6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
Programming experience with Python. Bonus if you have TypeScript experience.
Hands-on knowledge of Kubernetes and Docker
Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
Experience supporting enterprise customers and collaborating with engineering on complex escalations.
A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented
Location: Remote
Annual salary range: $130,000 - $195,000 USD + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.\n\n - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.\n\n - Partner with Deployed Engineering to support critical enterprise customers.\n\n - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.\n\n - Lead post-mortems for critical incidents and feed learnings back into product and documentation.\n\n - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.\n\n - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.\n\n - Mentor and coach other support engineers.\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).\n\n - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.\n\n - Programming experience with Python. Bonus if you have TypeScript experience.\n\n - Hands-on knowledge of Kubernetes and Docker\n\n - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).\n\n - Experience supporting enterprise customers and collaborating with engineering on complex escalations.\n\n - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.\n\n - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented\n\nLocation: Remote\n\n\n\n\nCOMPENSATION \n\n - Annual salary range: $130,000 - $195,000 USD + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e10513d4-1b8d-492f-a6af-94bdae366a1a","title":"Analytics Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-10-05T16:40:30.284+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e10513d4-1b8d-492f-a6af-94bdae366a1a","applyUrl":"https://jobs.ashbyhq.com/langchain/e10513d4-1b8d-492f-a6af-94bdae366a1a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here!
We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you.
*Location: SF, NYC, Boston, or Remote U.S.
Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience
Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex
Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse
Build dashboards that track progress against company goals and KPIs
Analyze product usage and operational data to surface insights around customer health, adoption, and revenue
Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making
3+ years experience in a related role (analytics engineer, data engineer, or similar)
Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)
Detail oriented, enjoys data spelunking, and can synthesize findings effectively
Curiosity and a strong business sense to help anticipate needs and generate meaningful insights
Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most
You are self-directed - you don’t wait for process or oversight to start making an impact
Compensation & Benefits:
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $140,000-$180,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\nWe are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here https://www.langchain.com/blog/agent-data-stack!\n\n\n\n\nABOUT THE ROLE:\n\nWe are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you.\n\n*Location: SF, NYC, Boston, or Remote U.S.\n\n\n\n\nWHAT YOU WILL DO:\n\n - Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience\n\n - Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex\n\n - Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse\n\n - Build dashboards that track progress against company goals and KPIs\n\n - Analyze product usage and operational data to surface insights around customer health, adoption, and revenue\n\n - Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making\n\n\n\n\nWHAT YOU'LL BRING:\n\n - 3+ years experience in a related role (analytics engineer, data engineer, or similar)\n\n - Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools)\n\n - Detail oriented, enjoys data spelunking, and can synthesize findings effectively\n\n - Curiosity and a strong business sense to help anticipate needs and generate meaningful insights\n\n - Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most\n\n - You are self-directed - you don’t wait for process or oversight to start making an impact\n\n \n\nCompensation & Benefits:\n\nWe offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.\n\n\n\nAnnual salary range: $140,000-$180,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"22bd243f-4088-49e0-bf02-fbad4442b0cb","title":"Account Manager, Renewals & Expansion (East Coast)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Atlanta, GA","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}}},{"location":"Nashville, TN","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"Washington DC","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}}},{"location":"Charlotte, NC","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Charlotte "}}}],"publishedAt":"2026-10-09T22:07:48.754+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/22bd243f-4088-49e0-bf02-fbad4442b0cb","applyUrl":"https://jobs.ashbyhq.com/langchain/22bd243f-4088-49e0-bf02-fbad4442b0cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
Experience managing renewals in a consumption or usage-based pricing model.
Location: US East. Preferably New York
Compensation:
$230k OTE + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nWe’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.\n\n - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.\n\n - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.\n\n - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.\n\n - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.\n\n - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.\n\n - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.\n\n - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.\n\n - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).\n\n - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.\n\n - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.\n\n - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.\n\n - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.\n\n - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.\n\n - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.\n\n\n(PREFERRED)\n\n - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.\n\n - Experience managing renewals in a consumption or usage-based pricing model.\n\n\n\nLocation: US East. Preferably New York \n\nCompensation: \n\n - $230k OTE + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"ddf92275-1cc3-49c0-9f25-e8ded43b07f6","title":"FullStack Engineer, AI Observability & Evals Platform (LangSmith)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-08-15T18:44:16.707+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/ddf92275-1cc3-49c0-9f25-e8ded43b07f6","applyUrl":"https://jobs.ashbyhq.com/langchain/ddf92275-1cc3-49c0-9f25-e8ded43b07f6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
Develop and implement key product features working across our entire Go, Python, and Typescript stack
Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
2+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
Solid understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $145,000-180,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\n We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.\n\n\n\nWHAT YOU WILL DO\n\n - Develop and implement key product features working across our entire Go, Python, and Typescript stack\n\n - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap\n\n - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 2+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend\n\n - Solid understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications\n\n - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n\n\n\nCompensation\nAnnual salary range: $145,000-180,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c","title":"Frontend Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-12T01:29:10.739+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c","applyUrl":"https://jobs.ashbyhq.com/langchain/f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role:
We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.
*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do:
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
What You Will Bring:
2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
Annual salary range: $160,000-$195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout The Role: \n\nWe’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. \n\n*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.\n\n\nWhat You Will Do:\n\n - Develop new user-facing features using React & Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n\n\n\nWhat You Will Bring:\n\n - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n\n\nCompensation\n\n - Annual salary range: $160,000-$195,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f07c1416-f126-4925-8606-5dd7c5a90f6f","title":"Senior Backend Software Engineer, AI Observability & Evals Platform (SF)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-08T12:04:40.975+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f07c1416-f126-4925-8606-5dd7c5a90f6f","applyUrl":"https://jobs.ashbyhq.com/langchain/f07c1416-f126-4925-8606-5dd7c5a90f6f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
Collaborate on architectural decisions to ensure systems are performant and maintainable.
Optimize storage and query performance for high-volume observability and evaluation data.
Ensure system reliability through strong testing, monitoring, and alerting practices.
Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
Create and maintain technical documentation, including system design and API references.
Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
5+ years of professional experience in backend engineering working on highly complex products
Proficiency in one or more backend languages/frameworks, ideally Python or Go
Strong understanding of API design and building reliable data services.
Experience with high-throughput or mission-critical systems.
Demonstrated ability to optimize backend services for performance and reliability.
Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
Strong communication skills, with the ability to collaborate cross-functionally
Customer centricity and ownership mentality
Compensation
Annual salary range: $180,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n \n \n\nCompensation \n\nAnnual salary range: $180,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d1ffe5ac-2f03-408b-a051-dad74c72771c","title":"Commercial Counsel","department":"Legal","team":"Legal","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-14T15:20:08.132+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d1ffe5ac-2f03-408b-a051-dad74c72771c","applyUrl":"https://jobs.ashbyhq.com/langchain/d1ffe5ac-2f03-408b-a051-dad74c72771c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models.
We are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk.
This is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth.
Over time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale.
You will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad.
Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation.
Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance.
Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input.
Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers.
Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations.
Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices.
Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk.
Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk.
Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements.
Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes.
Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks.
Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations.
5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience.
In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred.
Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation.
Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements.
Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment.
Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions.
Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues.
Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure.
Experience with Ironclad or another contract lifecycle management platform is a plus.
Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment.
Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations.
Highly organized, responsive, and able to manage multiple priorities with strong attention to detail.
Low-ego, collaborative, and excited to help build scalable legal processes for a growing company.
Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California.
Compensation range: 150K - 215K + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models.\n\nWe are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk.\n\nThis is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth.\n\nOver time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale.\n\nYou will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad.\n\n\n\n\nWHAT YOU’LL DO\n\n - Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation.\n\n - Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance.\n\n - Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input.\n\n - Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers.\n\n - Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations.\n\n - Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices.\n\n - Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk.\n\n - Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk.\n\n - Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements.\n\n - Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes.\n\n - Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks.\n\n - Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations.\n\n\n\n\nWHAT YOU’LL BRING\n\n - 5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience.\n\n - In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred.\n\n - Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation.\n\n - Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements.\n\n - Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment.\n\n - Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions.\n\n - Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues.\n\n - Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure.\n\n - Experience with Ironclad or another contract lifecycle management platform is a plus.\n\n - Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment.\n\n - Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations.\n\n - Highly organized, responsive, and able to manage multiple priorities with strong attention to detail.\n\n - Low-ego, collaborative, and excited to help build scalable legal processes for a growing company.\n\n - Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California.\n\nCompensation range: 150K - 215K + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e725293d-c27b-4a79-959d-19f5618f2f8e","title":"Developer Productivity","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-10T19:49:58.786+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e725293d-c27b-4a79-959d-19f5618f2f8e","applyUrl":"https://jobs.ashbyhq.com/langchain/e725293d-c27b-4a79-959d-19f5618f2f8e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring
3+ years of experience as a software engineer or infrastructure engineer
Strong hands-on experience with Python and testing frameworks such as pytest
Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
Solid understanding of API testing, mocking/stubbing, and data setup/teardown
Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have
Experience with load and performance testing tools such as k6
Familiarity with observability tooling such as Datadog or OpenTelemetry
Experience testing services running on Kubernetes and containerized environments
Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation
Annual salary range: $165,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.\n\nAbout the Role\n\nWe’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.\n\nLocation: In person 5 days/week in San Francisco, CA or New York, NY\n\n\n\nWhat You'll Do\n\n - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)\n\n - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites\n\n - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates\n\n - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards\n\n - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection\n\n - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems\n\n - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests\n\nExample projects you might own\n\n - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants\n\n - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release\n\n - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake\n\n\n\nWhat You'll Bring\n\n - 3+ years of experience as a software engineer or infrastructure engineer\n\n - Strong hands-on experience with Python and testing frameworks such as pytest\n\n - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability\n\n - Solid understanding of API testing, mocking/stubbing, and data setup/teardown\n\n - Comfort defining quality standards, writing test plans, and driving cross-team execution\n\nNice to Have\n\n - Experience with load and performance testing tools such as k6\n\n - Familiarity with observability tooling such as Datadog or OpenTelemetry\n\n - Experience testing services running on Kubernetes and containerized environments\n\n - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management\n\n - SQL fluency for validating data (Postgres, ClickHouse, BigQuery)\n\n - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability\n \n \n\nCompensation\n\n - Annual salary range: $165,000- $250,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"70b5d446-7238-4324-9e70-a971b67a438c","title":"Enterprise Account Executive (Florida)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Tampa, FL","secondaryLocations":[],"publishedAt":"2026-09-04T17:55:48.366+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Tampa"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/70b5d446-7238-4324-9e70-a971b67a438c","applyUrl":"https://jobs.ashbyhq.com/langchain/70b5d446-7238-4324-9e70-a971b67a438c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Florida
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - Florida\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6c1c47cf-fac0-4367-975e-795197df2c5d","title":"Enterprise Account Executive (Atlanta)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[],"publishedAt":"2026-09-04T17:55:21.614+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6c1c47cf-fac0-4367-975e-795197df2c5d","applyUrl":"https://jobs.ashbyhq.com/langchain/6c1c47cf-fac0-4367-975e-795197df2c5d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Atlanta
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - Atlanta\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"27af5f96-b287-4bcc-8679-f96686dc7c8d","title":"Product Manager, LangSmith","department":"Product","team":"Product","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-01T15:39:50.447+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/27af5f96-b287-4bcc-8679-f96686dc7c8d","applyUrl":"https://jobs.ashbyhq.com/langchain/27af5f96-b287-4bcc-8679-f96686dc7c8d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.
This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.
You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.
Own the roadmap for a core area of the LangSmith platform.
Work with customers to understand their challenges and define new product features.
Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.
Help shape product strategy alongside our founders and leadership team.
3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.
Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.
Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.
Strong written and verbal communicator who can align cross-functional teams around a shared vision.
Computer Science, Engineering, or equivalent technical background.
Previous experience at a high-growth startup or developer-focused company.
Hands-on experience building with LLMs, agents, or AI applications.
Annual salary range: $180,000-$240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.\n\n\n\n\nWHAT YOU'LL DO\n\nThis role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.\n\nYou'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.\n\n - Own the roadmap for a core area of the LangSmith platform.\n\n - Work with customers to understand their challenges and define new product features.\n\n - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.\n\n - Help shape product strategy alongside our founders and leadership team.\n\n\n\n\nWHAT YOU'LL BRING\n\n - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.\n\n - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.\n\n - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.\n\n - Strong written and verbal communicator who can align cross-functional teams around a shared vision.\n\n\n\n\n\nNICE TO HAVE\n\n - Computer Science, Engineering, or equivalent technical background.\n\n - Previous experience at a high-growth startup or developer-focused company.\n\n - Hands-on experience building with LLMs, agents, or AI applications.\n\n\n\n - Annual salary range: $180,000-$240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e12d7176-8b9f-438a-8f3b-0cbbffab9c5c","title":"Deployed Architect, Professional Services (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-09T22:08:47.814+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c","applyUrl":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Willing to travel up to 20% of the time
Location: San Francisco
Compensation: $170,000-$300,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n - Willing to travel up to 20% of the time\n\nLocation: San Francisco\n\nCompensation: $170,000-$300,000 base salary + equity \n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"5f5f8239-603c-47ca-a1ee-5a7ed34b502d","title":"Deployed Engineer (UK)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-01-18T03:56:54.526+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/5f5f8239-603c-47ca-a1ee-5a7ed34b502d","applyUrl":"https://jobs.ashbyhq.com/langchain/5f5f8239-603c-47ca-a1ee-5a7ed34b502d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"72eefb77-605d-4616-adda-820eb5208ac8","title":"People Partner","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-21T18:21:22.575+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/72eefb77-605d-4616-adda-820eb5208ac8","applyUrl":"https://jobs.ashbyhq.com/langchain/72eefb77-605d-4616-adda-820eb5208ac8/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just \"supporting\" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil.
We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership.
San Francisco, CA; New York, NY
Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks.
Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds.
AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration.
Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar.
Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions.
Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence.
XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business.
Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment.
Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity.
Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively.
Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations.
Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive.
Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket.
Annual salary range: $160,000 - $230,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just \"supporting\" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil.\n\nWe are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership.\n\n\n\nLOCATION/CITY:\n\nSan Francisco, CA; New York, NY\n\n\n\n\nRESPONSIBILITIES:\n\n - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks.\n\n - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds.\n\n - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration.\n\n - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar.\n\n - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions.\n\n - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence.\n\n - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business.\n\n\n\n\nREQUIREMENTS:\n\n - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment.\n\n - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity.\n\n - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively.\n\n - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations.\n\n - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive.\n\n - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket.\n\n\n\n\nCOMPENSATION \n\n - Annual salary range: $160,000 - $230,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e773649c-4ea7-47c2-9987-74d525474e82","title":"Deployed Engineer (Bay Area)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-07T19:55:15.634+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82","applyUrl":"https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n \n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nSales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n \n\n\nABOUT THE ROLE\n\n \n\nYou'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $185,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"25d40647-c821-46ff-bf25-bacf21fa38b5","title":"Deployed Engineer (NYC)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-09T20:45:40.720+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/25d40647-c821-46ff-bf25-bacf21fa38b5","applyUrl":"https://jobs.ashbyhq.com/langchain/25d40647-c821-46ff-bf25-bacf21fa38b5/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $185,000-$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $185,000-$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"937e131f-1055-4f1f-bd8a-f036e4ba0666","title":"Deployed Engineer, Pre-Sales (Austin)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Austin, TX","secondaryLocations":[],"publishedAt":"2026-08-03T14:43:37.455+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/937e131f-1055-4f1f-bd8a-f036e4ba0666","applyUrl":"https://jobs.ashbyhq.com/langchain/937e131f-1055-4f1f-bd8a-f036e4ba0666/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 25% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 25% of the time\n \n \n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"b9cf3229-c257-4536-bae6-e9b63134dc68","title":"Enterprise Account Executive (NYC)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-04-14T20:49:44.584+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b9cf3229-c257-4536-bae6-e9b63134dc68","applyUrl":"https://jobs.ashbyhq.com/langchain/b9cf3229-c257-4536-bae6-e9b63134dc68/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
New York City
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - New York City\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation \n\nAnnual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"1b125fc4-be24-422f-a180-30b7431fc6cf","title":"Senior Frontend Platform Engineer, Design Systems","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-22T02:01:29.778+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf","applyUrl":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This role can be based remotely in the U.S. Ideally SF, NYC, or Boston.
LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.
As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.
This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.
You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.
Build out LangChain’s component library
Design and implement reusable, composable React components that are flexible, accessible, and production-ready
Partner closely with designers to translate design systems, tokens, and interaction patterns into code
Build reliable UI quality systems
Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)
Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack
Improve UI build and test workflows
Optimize build performance, bundling strategy, and package versioning for the component library
Maintain tooling for testing, dependency management of the UI app
Extensive experience building modular, composable, and well-documented component libraries and/or design systems
Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)
Experience collaborating closely with designers and non-engineering partners
Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design
Familiarity with testing UI components and visual regression testing
Annual salary range: $180,000 - $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nThis role can be based remotely in the U.S. Ideally SF, NYC, or Boston.\n\n\n\nLangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.\n\n\n\nAs our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.\n\n\n\nThis role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.\n\n\n\nYou’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.\n\n \n\n\nWHAT YOU'LL DO: \n\n\n\n - Build out LangChain’s component library\n \n - Design and implement reusable, composable React components that are flexible, accessible, and production-ready\n \n - Partner closely with designers to translate design systems, tokens, and interaction patterns into code\n\n - Build reliable UI quality systems\n \n - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)\n \n - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack\n\n - Improve UI build and test workflows\n \n - Optimize build performance, bundling strategy, and package versioning for the component library\n \n - Maintain tooling for testing, dependency management of the UI app\n\n\n\n\nWHAT YOU'LL BRING: \n\n - Extensive experience building modular, composable, and well-documented component libraries and/or design systems\n\n - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)\n\n - Experience collaborating closely with designers and non-engineering partners\n\n - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design\n\n - Familiarity with testing UI components and visual regression testing\n \n \n\nAnnual salary range: $180,000 - $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"426359a5-3a48-4b81-ba25-b2f32678b153","title":"Commercial Account Executive (SF)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-09T20:48:58.048+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/426359a5-3a48-4b81-ba25-b2f32678b153","applyUrl":"https://jobs.ashbyhq.com/langchain/426359a5-3a48-4b81-ba25-b2f32678b153/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation:
Annual salary range: $220,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation:\n\n - Annual salary range: $220,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7b1e5ff7-4531-4d4a-8379-52a21b6d386d","title":"Security Engineer - Detection & Response","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-17T16:55:34.332+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7b1e5ff7-4531-4d4a-8379-52a21b6d386d","applyUrl":"https://jobs.ashbyhq.com/langchain/7b1e5ff7-4531-4d4a-8379-52a21b6d386d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.
You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.
This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.
Location/City: San Francisco or NYC
Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.
Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.
Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.
Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.
Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.
Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.
5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.
Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.
Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.
Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.
Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.
Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.
A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.
Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.
Proficiency using AI tooling to accelerate security investigations and engineering work.
Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.
Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.
Experience with infrastructure as code such as Terraform or Helm.
Experience securing both SaaS and self-hosted or air-gapped deployments.
Annual salary range: $185,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n\n\nThe Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.\n\n\n\n\nABOUT THE ROLE\n\n\n\nYou'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.\n\nThis role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.\n\nLocation/City: San Francisco or NYC\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.\n\n - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.\n\n - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.\n\n - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.\n\n - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.\n\n - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.\n\n - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.\n\n - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.\n\n - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.\n\n - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.\n\n - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.\n\n - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.\n\n\n\n\nNICE TO HAVE\n\n\n\n - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.\n\n - Proficiency using AI tooling to accelerate security investigations and engineering work.\n\n - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.\n\n - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.\n\n - Experience with infrastructure as code such as Terraform or Helm.\n\n - Experience securing both SaaS and self-hosted or air-gapped deployments.\n \n \n \n Annual salary range: $185,000- $250,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3c38ac0d-4cb5-4c04-86c0-37b20166c8ec","title":"Enterprise Account Executive (Chicago)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-07-30T15:51:15.246+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3c38ac0d-4cb5-4c04-86c0-37b20166c8ec","applyUrl":"https://jobs.ashbyhq.com/langchain/3c38ac0d-4cb5-4c04-86c0-37b20166c8ec/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
We are looking for candidates across the North Central region.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nWe are looking for candidates across the North Central region.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION\n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e86a5b13-75e7-4b4e-bc18-3c81b58d1543","title":"Enterprise Account Executive (Ohio)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Cincinnati, OH","secondaryLocations":[{"location":"Detroit, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Detroit"}}}],"publishedAt":"2026-07-30T15:51:35.365+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e86a5b13-75e7-4b4e-bc18-3c81b58d1543","applyUrl":"https://jobs.ashbyhq.com/langchain/e86a5b13-75e7-4b4e-bc18-3c81b58d1543/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual OTE range: $300,000 - 350,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"fd3767ba-6247-47bd-85ae-7e76be3871e6","title":"Enterprise Account Executive (Dallas)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-07-30T15:53:23.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/fd3767ba-6247-47bd-85ae-7e76be3871e6","applyUrl":"https://jobs.ashbyhq.com/langchain/fd3767ba-6247-47bd-85ae-7e76be3871e6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
We are open to candidates across Texas.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nWe are open to candidates across Texas. \n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION \n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"2e05a8c8-a9d8-4627-a651-6700923b2a70","title":"Enterprise Account Executive (Houston)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Houston, TX","secondaryLocations":[],"publishedAt":"2026-07-30T15:53:32.511+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"TX","addressCountry":"United States","addressLocality":"Houston"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/2e05a8c8-a9d8-4627-a651-6700923b2a70","applyUrl":"https://jobs.ashbyhq.com/langchain/2e05a8c8-a9d8-4627-a651-6700923b2a70/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION\n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"32c6fe13-76e0-49a2-849d-991014416987","title":"GTM Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-15T07:40:02.532+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/32c6fe13-76e0-49a2-849d-991014416987","applyUrl":"https://jobs.ashbyhq.com/langchain/32c6fe13-76e0-49a2-849d-991014416987/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
Expertise with LangSmith for evaluation and monitoring.
Experience building or maintaining open-source projects.
A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.\n\nYou will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.\n\n\n\n\nYOU WILL:\n\n - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.\n\n - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.\n\n - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.\n\n - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.\n\n - Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.\n\n\nWHAT WE ARE LOOKING FOR:\n\n - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.\n\n - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.\n\n - Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.\n\n - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.\n\n - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.\n\nNice to Haves:\n\n - Expertise with LangSmith for evaluation and monitoring.\n\n - Experience building or maintaining open-source projects.\n\n - A background in technical consulting, solutions engineering, or high-growth GTM teams.\n\nCompensation:\n\n - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.\n\n - Salary: $160K - $180K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c16d44ab-faf0-4111-9ca7-8acb5dffcf46","title":"Enterprise Account Executive (UK)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:00.791+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c16d44ab-faf0-4111-9ca7-8acb5dffcf46","applyUrl":"https://jobs.ashbyhq.com/langchain/c16d44ab-faf0-4111-9ca7-8acb5dffcf46/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain:
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
£258,000 OTE + equity
Location:
UK, London
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain:\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION:\n\n£258,000 OTE + equity\n\nLocation:\n\n - UK, London\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c8150807-d346-47d5-9242-b0994d77ca87","title":"Enterprise Account Executive - Munich","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Germany","secondaryLocations":[],"publishedAt":"2026-10-10T16:56:56.661+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Germany"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c8150807-d346-47d5-9242-b0994d77ca87","applyUrl":"https://jobs.ashbyhq.com/langchain/c8150807-d346-47d5-9242-b0994d77ca87/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual salary range: $225,000-$350,000 OTE USD + equity
Location:
Germany, Munich
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU WILL BRING:\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\n\nCOMPENSATION:\n\nAnnual salary range: $225,000-$350,000 OTE USD + equity\n\nLocation:\n\n - Germany, Munich\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6c5eacaf-0f0c-43c5-bac8-78c98424b979","title":"Regional Director, Enterprise Sales ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-11T22:52:00.452+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6c5eacaf-0f0c-43c5-bac8-78c98424b979","applyUrl":"https://jobs.ashbyhq.com/langchain/6c5eacaf-0f0c-43c5-bac8-78c98424b979/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.
As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.
This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.
Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
Lead, coach, and develop a team of enterprise Account Executives.
Build a culture of accountability, customer obsession, strong qualification, and consistent execution.
Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.
Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.
Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.
Recruit, onboard, and retain high-performing sales talent as the region grows.
7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.
Proven track record managing teams that sell complex technical products to enterprise customers.
Experience hiring, coaching, and developing high-performing Account Executives.
Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.
High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.
Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.
Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
Prior success selling into both digital-native and large enterprise accounts.
Experience working in a highly technical, product-led, or open-source-influenced sales environment.
AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.
You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.
Compensation: $350,000 - $400,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.\n\nAs Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.\n\nThis role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.\n\n - Lead, coach, and develop a team of enterprise Account Executives.\n\n - Build a culture of accountability, customer obsession, strong qualification, and consistent execution.\n\n - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.\n\n - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.\n\n - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.\n\n - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.\n\n - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.\n\n - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.\n\n - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.\n\n - Recruit, onboard, and retain high-performing sales talent as the region grows.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.\n\n - Proven track record managing teams that sell complex technical products to enterprise customers.\n\n - Experience hiring, coaching, and developing high-performing Account Executives.\n\n - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.\n\n - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.\n\n - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.\n\n - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.\n\n - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.\n\n - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.\n\n\nNICE TO HAVE\n\n - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.\n\n - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.\n\n - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.\n\n - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.\n\n - Prior success selling into both digital-native and large enterprise accounts.\n\n - Experience working in a highly technical, product-led, or open-source-influenced sales environment.\n\n\nWHY JOIN US\n\nAI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.\n\nYou’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.\n\n\n\nCompensation: $350,000 - $400,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8b83f97a-12fb-42a6-9697-c3ef07646335","title":"Sales Development Representative (SF) ","department":"Sales","team":"Sales Development Representative","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-09T20:42:22.490+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8b83f97a-12fb-42a6-9697-c3ef07646335","applyUrl":"https://jobs.ashbyhq.com/langchain/8b83f97a-12fb-42a6-9697-c3ef07646335/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation
On Target Earnings: $125,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role:\n\nWe’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.\n\nYou’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.\n\nWhat makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.\n\n\n\nWhat You'll Do:\n\n - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.\n\n - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.\n\n - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.\n\n - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.\n\n - Use LangChain powered agents to test, learn, and improve prospecting strategies\n\nHow to be successful in this role:\n\n - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)\n\n - Clear, confident communicator who can engage both technical and business audiences\n\n - Motivated by learning, iteration, and experimentation you treat outreach like a craft\n\n - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way\n\n - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate\n\n - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction\n\n\n\nCompensation\n\n - On Target Earnings: $125,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8b533cc4-6654-44b4-b3fc-004def2a9927","title":"Deployed Engineer, Pre-Sales (Dallas)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-10-07T21:10:44.456+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8b533cc4-6654-44b4-b3fc-004def2a9927","applyUrl":"https://jobs.ashbyhq.com/langchain/8b533cc4-6654-44b4-b3fc-004def2a9927/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 25% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 25% of the time\n\n\n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6eecbcda-d94f-4700-b8c7-ce54cb212290","title":"Deployed Engineer (Federal)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-10-09T20:46:48.848+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290","applyUrl":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.
This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.
As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.
You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.
You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.
Co-architect and co-build production AI agents with federal engineering teams and system integrators
Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations
Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)
Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows
Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions
Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences
Partner with security teams to navigate ATO processes and accreditation pathways
Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies
Occasionally contribute code upstream when it meaningfully improves federal customer outcomes
Must have zctive or prior U.S. security clearance (Secret, TS/SCI)
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers
Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators
Strong Python and JavaScript fundamentals, with deep systems thinking
Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling
Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)
Comfort operating in regulated environments with security, compliance, and documentation requirements
Experience supporting technical evaluations, architecture reviews, and competitive down-select processes
Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership
Ownership mindset — you take responsibility for mission outcomes, not just recommendations
Bias toward action and comfort operating in ambiguity
Excitement about running AI agents in real-world, production federal environments — not just building demos
Experience deploying AI systems in classified or air-gapped environments
Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)
Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures
Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)
Production experience with LangChain, LangGraph, or similar agent frameworks
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $185,000–$300,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT US\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\n\nABOUT THE TEAM\n\nThe LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.\n\nThis is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nAs a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.\n\nYou’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.\n\nYou will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with federal engineering teams and system integrators\n\n - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations\n\n - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)\n\n - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows\n\n - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions\n\n - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences\n\n - Partner with security teams to navigate ATO processes and accreditation pathways\n\n - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies\n\n - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes\n\n\nWHAT YOU’LL BRING\n\n - Must have zctive or prior U.S. security clearance (Secret, TS/SCI)\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers\n\n - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators\n\n - Strong Python and JavaScript fundamentals, with deep systems thinking\n\n - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling\n\n - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)\n\n - Comfort operating in regulated environments with security, compliance, and documentation requirements\n\n - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes\n\n - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership\n\n - Ownership mindset — you take responsibility for mission outcomes, not just recommendations\n\n - Bias toward action and comfort operating in ambiguity\n\n - Excitement about running AI agents in real-world, production federal environments — not just building demos\n\n\nNICE TO HAVE\n\n - Experience deploying AI systems in classified or air-gapped environments\n\n - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)\n\n - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings\n\n - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures\n\n - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)\n\n - Production experience with LangChain, LangGraph, or similar agent frameworks\n\n\nCOMPENSATION & BENEFITS\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\nAnnual OTE range: $185,000–$300,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d81ac364-7b1c-48d2-a8b7-4bc7336c6be5","title":"Director of Commercial Sales ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-19T18:58:19.346+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d81ac364-7b1c-48d2-a8b7-4bc7336c6be5","applyUrl":"https://jobs.ashbyhq.com/langchain/d81ac364-7b1c-48d2-a8b7-4bc7336c6be5/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
Spot markeAbout Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Description
Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
Spot market opportunities early and move on them immediately.
7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team
Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.
Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust
Experience selling platforms, professional services, and broader organizational transformations, including work with SIs
Clear, direct communicator. Equally effective with a technical buyers and executives.
On Target Earnings -$300,000 to $350,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLocation: Hiring in San Francisco\n\nWe're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.\n\nIf you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts\n\n - Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay\n\n - Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution\n\n - Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging\n\n - Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions\n\n - Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships\n\n - Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)\n\n - Spot markeAbout Us\n \n \n \n At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n \n With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n \n Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com http://Monday.com, Nvidia, and Bridgewater.\n \n \n \n \n Description\n \n \n \n \n ABOUT THE ROLE\n \n Location: Hiring in San Francisco\n \n We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.\n \n If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.\n \n \n \n \n WHAT YOU'LL DO\n \n - Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts\n \n - Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay\n \n - Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution\n \n - Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging\n \n - Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions\n \n - Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships\n \n - Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)\n \n - Spot market opportunities early and move on them immediately.\n \n \n HOW TO BE SUCCESSFUL IN THIS ROLE\n \n - 7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team\n \n - Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.\n \n - Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust\n \n - Experience selling platforms, professional services, and broader organizational transformations, including work with SIs\n \n - Clear, direct communicator. Equally effective with a technical buyers and executives.\n \n On Target Earnings -$300,000 to $350,000 + Equity\n\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"9ef63e88-b1ff-4e88-9bf8-20c01439b80a","title":"Enterprise Account Executive (Stockholm)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Sweden","secondaryLocations":[],"publishedAt":"2026-10-10T16:56:51.883+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Sweden"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9ef63e88-b1ff-4e88-9bf8-20c01439b80a","applyUrl":"https://jobs.ashbyhq.com/langchain/9ef63e88-b1ff-4e88-9bf8-20c01439b80a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual salary range: $225,000-$350,000 OTE USD + equity
Location:
Sweden, Stockholm
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU'LL BRING:\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\n\nCOMPENSATION:\n\nAnnual salary range: $225,000-$350,000 OTE USD + equity\n\nLocation:\n\n - Sweden, Stockholm\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"65dbb419-ca80-4fda-b1b7-b81c08878992","title":"Commercial Account Executive (UK)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-09-04T20:04:31.251+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/65dbb419-ca80-4fda-b1b7-b81c08878992","applyUrl":"https://jobs.ashbyhq.com/langchain/65dbb419-ca80-4fda-b1b7-b81c08878992/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in London,UK
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $175,000-$220,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in London,UK\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $175,000-$220,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"fc868832-3865-4f4a-8222-33422a7d3d96","title":"Deployed Architect, Professional Services (Amsterdam)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:25.220+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","streetAddress":"Keizersgracht 555","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/fc868832-3865-4f4a-8222-33422a7d3d96","applyUrl":"https://jobs.ashbyhq.com/langchain/fc868832-3865-4f4a-8222-33422a7d3d96/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
€110,000-€185,000 base salary + equity
Location:
Netherlands, Amsterdam
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n \n \n\n\nWHAT YOU'LL BRING:\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES:\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n\n\n\nCOMPENSATION: \n\n€110,000-€185,000 base salary + equity\n\nLocation:\n\n - Netherlands, Amsterdam\n\n - Remote with up to 25% travel\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"34083fce-1e80-4595-9ce9-76387b735c70","title":"Deployed Engineer (Boston)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-10-09T20:46:16.519+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/34083fce-1e80-4595-9ce9-76387b735c70","applyUrl":"https://jobs.ashbyhq.com/langchain/34083fce-1e80-4595-9ce9-76387b735c70/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $185,000–$300,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $185,000–$300,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"faeb56fd-e7d6-47d6-babe-e35315969206","title":"Deployed Architect, Professional Services (London)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:21.425+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/faeb56fd-e7d6-47d6-babe-e35315969206","applyUrl":"https://jobs.ashbyhq.com/langchain/faeb56fd-e7d6-47d6-babe-e35315969206/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
£100,000-£165,000 base salary + equity
Location:
UK, London
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n \n \n\n\nWHAT YOU'LL BRING:\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES:\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n\n\n\nCOMPENSATION:\n\n£100,000-£165,000 base salary + equity\n\nLocation:\n\n - UK, London\n\n - Remote with up to 25% travel\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3e31c750-67f2-4d3d-ac29-48a2b57cf4bd","title":"Deployed Engineer (Atlanta)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[],"publishedAt":"2026-08-22T15:36:44.883+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3e31c750-67f2-4d3d-ac29-48a2b57cf4bd","applyUrl":"https://jobs.ashbyhq.com/langchain/3e31c750-67f2-4d3d-ac29-48a2b57cf4bd/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"461a1356-24fc-40f2-88d6-ce253f94eeb4","title":"Enterprise Account Executive (Boston)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-08-18T21:21:21.276+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/461a1356-24fc-40f2-88d6-ce253f94eeb4","applyUrl":"https://jobs.ashbyhq.com/langchain/461a1356-24fc-40f2-88d6-ce253f94eeb4/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Boston, MA
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - Boston, MA\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - Annual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6f31aa85-23ce-4c6a-a395-363b7a659de1","title":"Enterprise Account Executive (Philadelphia)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Philadelphia, PA","secondaryLocations":[],"publishedAt":"2026-08-18T23:05:54.952+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"PA","addressCountry":"United States","addressLocality":"Philadelphia"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6f31aa85-23ce-4c6a-a395-363b7a659de1","applyUrl":"https://jobs.ashbyhq.com/langchain/6f31aa85-23ce-4c6a-a395-363b7a659de1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Philadelphia, PA
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - Philadelphia, PA\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - Annual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f71210f9-12e1-4726-88b9-ebafa194d5b2","title":"Deployed Architect, Professional Services (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-09T22:09:49.395+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2","applyUrl":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Willing to travel up to 20% of the time
Location: New York City
Compensation: $170,000-$300,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n - Willing to travel up to 20% of the time\n\nLocation: New York City\n\nCompensation: $170,000-$300,000 base salary + equity \n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"da7cbabd-ceed-4d7d-ae25-f226cac0c1c1","title":"Deployed Architect, Professional Services (Austin)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Austin, TX","secondaryLocations":[],"publishedAt":"2026-10-09T22:09:36.459+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1","applyUrl":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Willing to travel up to 20% of the time
Location: Austin, Texas
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n - Willing to travel up to 20% of the time\n\nLocation: Austin, Texas\n\nCompensation: $170,000-$270,000 base salary + equity \n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"933a41a3-43ca-44de-a0ae-f541149151b7","title":"Deployed Architect, Professional Services (Dallas)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-10-09T22:09:25.388+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7","applyUrl":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Willing to travel up to 20% of the time
Location: Dallas, TX
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n - Willing to travel up to 20% of the time\n\nLocation: Dallas, TX\n\nCompensation: $170,000-$270,000 base salary + equity \n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\n\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"38947013-3d0c-4257-aa58-ab8fe247ea3e","title":"Deployed Engineer (Chicago)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-08-05T23:14:24.155+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/38947013-3d0c-4257-aa58-ab8fe247ea3e","applyUrl":"https://jobs.ashbyhq.com/langchain/38947013-3d0c-4257-aa58-ab8fe247ea3e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
This will be a hybrid in office role in Chicago, IL.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 25% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\nThis will be a hybrid in office role in Chicago, IL.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 25% of the time\n\n\n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION:\n\nAnnual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d7454c6d-7025-4e46-befc-e23bedd8f452","title":"Deployed Engineer (Charlotte)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Charlotte, NC","secondaryLocations":[],"publishedAt":"2026-04-14T20:48:28.828+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Charlotte "}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d7454c6d-7025-4e46-befc-e23bedd8f452","applyUrl":"https://jobs.ashbyhq.com/langchain/d7454c6d-7025-4e46-befc-e23bedd8f452/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"733417d6-7b74-4260-95d9-3cabf85ce0b8","title":"Deployed Engineer (Raleigh)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Raleigh, NC","secondaryLocations":[],"publishedAt":"2026-04-14T20:48:32.600+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Raleigh"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/733417d6-7b74-4260-95d9-3cabf85ce0b8","applyUrl":"https://jobs.ashbyhq.com/langchain/733417d6-7b74-4260-95d9-3cabf85ce0b8/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f4a7aa79-3e7f-4de1-8fda-16f161cc909d","title":"Regional Director, Enterprise Sales (DMV) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-08-11T22:54:20.683+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f4a7aa79-3e7f-4de1-8fda-16f161cc909d","applyUrl":"https://jobs.ashbyhq.com/langchain/f4a7aa79-3e7f-4de1-8fda-16f161cc909d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.
As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.
This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.
Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
Lead, coach, and develop a team of enterprise Account Executives.
Build a culture of accountability, customer obsession, strong qualification, and consistent execution.
Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.
Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.
Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.
Recruit, onboard, and retain high-performing sales talent as the region grows.
7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.
Proven track record managing teams that sell complex technical products to enterprise customers.
Experience hiring, coaching, and developing high-performing Account Executives.
Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.
High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.
Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.
Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
Prior success selling into both digital-native and large enterprise accounts.
Experience working in a highly technical, product-led, or open-source-influenced sales environment.
AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.
You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.
Compensation: $350,000 - $400,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.\n\nAs Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.\n\nThis role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.\n\n \n\n\nWHAT YOU’LL DO\n\n - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.\n\n - Lead, coach, and develop a team of enterprise Account Executives.\n\n - Build a culture of accountability, customer obsession, strong qualification, and consistent execution.\n\n - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.\n\n - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.\n\n - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.\n\n - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.\n\n - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.\n\n - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.\n\n - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.\n\n - Recruit, onboard, and retain high-performing sales talent as the region grows.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.\n\n - Proven track record managing teams that sell complex technical products to enterprise customers.\n\n - Experience hiring, coaching, and developing high-performing Account Executives.\n\n - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.\n\n - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.\n\n - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.\n\n - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.\n\n - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.\n\n - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.\n\n\nNICE TO HAVE\n\n - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.\n\n - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.\n\n - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.\n\n - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.\n\n - Prior success selling into both digital-native and large enterprise accounts.\n\n - Experience working in a highly technical, product-led, or open-source-influenced sales environment.\n\n\nWHY JOIN US\n\nAI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.\n\nYou’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.\n\n \n\nCompensation: $350,000 - $400,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6847e38f-ec98-4fb2-a2cb-a97cdd9be108","title":"Federal Account Executive ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-05-06T03:07:58.007+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6847e38f-ec98-4fb2-a2cb-a97cdd9be108","applyUrl":"https://jobs.ashbyhq.com/langchain/6847e38f-ec98-4fb2-a2cb-a97cdd9be108/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape.
We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you.
Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems
Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments
Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision
Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow
Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy
Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience
Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment
You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC)
You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually
You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles
You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers
You have established relationships across federal agencies and the system integrator ecosystem
Technical acumen with the ability to establish credibility with technical decision-makers at agencies
You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one
Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward
Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape
You exemplify our operating principles:
You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable
You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team
You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked
You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through
Active or prior U.S. security clearance (Secret, TS/SCI)
Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools
Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks
Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft)
Prior experience building a federal GTM motion at an early-stage or growth-stage company
Annual OTE range: $300,000 – $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems\n\n - Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments\n\n - Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision\n\n - Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow\n\n - Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy\n\n - Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience\n\n - Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment\n \n \n\n\nWHAT YOU'LL BRING\n\n - You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC)\n\n - You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually\n\n - You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles\n\n - You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers\n\n - You have established relationships across federal agencies and the system integrator ecosystem\n\n - Technical acumen with the ability to establish credibility with technical decision-makers at agencies\n\n - You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward\n\n - Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape\n\n - You exemplify our operating principles:\n \n - You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable\n \n - You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team\n \n - You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked\n \n - You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through\n\n\nNICE TO HAVE\n\n - Active or prior U.S. security clearance (Secret, TS/SCI)\n\n - Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools\n\n - Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks\n\n - Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft)\n\n - Prior experience building a federal GTM motion at an early-stage or growth-stage company\n\n\nCOMPENSATION \n\nAnnual OTE range: $300,000 – $350,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"0a5dd30c-6da1-4095-bd96-b16f27eeb333","title":"Deployed Architect, Professional Services (Remote)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Los Angeles, CA","secondaryLocations":[{"location":"Salt Lake City, UT","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"Denver, CO","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-10-09T22:09:15.311+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333","applyUrl":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Willing to travel up to 20% of the time
Location: Remote
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n - Willing to travel up to 20% of the time\n\nLocation: Remote\n\nCompensation: $170,000-$270,000 base salary + equity \n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"45773971-c904-41c4-b7af-1f3a661c49cc","title":"Account Manager, Renewals & Expansion (West Coast)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Los Angeles, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-10-09T22:07:59.120+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/45773971-c904-41c4-b7af-1f3a661c49cc","applyUrl":"https://jobs.ashbyhq.com/langchain/45773971-c904-41c4-b7af-1f3a661c49cc/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
Experience managing renewals in a consumption or usage-based pricing model.
Location: US West Coast
Compensation:
$230K OTE + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nWe’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.\n\n\n\n\nWHAT YOU'LL DO \n\n - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.\n\n - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.\n\n - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.\n\n - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.\n\n - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.\n\n - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.\n\n - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.\n\n - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.\n\n - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).\n\n - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.\n\n - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.\n\n - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.\n\n - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.\n\n - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.\n\n - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.\n\n\n(PREFERRED)\n\n - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.\n\n - Experience managing renewals in a consumption or usage-based pricing model.\n \n \n\nLocation: US West Coast\n\nCompensation: \n\n - $230K OTE + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"1683a053-1bca-4a54-9889-bc32259df4e1","title":"EMEA Deal Strategy & Operations Lead","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:05.019+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/1683a053-1bca-4a54-9889-bc32259df4e1","applyUrl":"https://jobs.ashbyhq.com/langchain/1683a053-1bca-4a54-9889-bc32259df4e1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deal Strategy & Operations Lead to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly.
Own the deal strategy across our EMEA sales team
Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines
Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc.
Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal
Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution
Monitor and ensure that internal requests are addressed thoughtfully and with urgency
How to be successful in this role:
8+ years of experience in Deal Operations, Deal Desk, or Sales Operations
A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals
Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies.
Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows.
Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes
Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities
Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment
You are skilled at prioritization, effectively balancing urgent support requests with long-term project work.
Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
£110,000-£140,000 base salary + equity
Location:
UK, London
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deal Strategy & Operations Lead to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly.\n\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own the deal strategy across our EMEA sales team\n\n - Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines\n\n - Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc.\n\n - Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal\n\n - Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution\n\n - Monitor and ensure that internal requests are addressed thoughtfully and with urgency\n\nHow to be successful in this role:\n\n - 8+ years of experience in Deal Operations, Deal Desk, or Sales Operations\n\n - A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals\n\n - Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies.\n\n - Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows.\n\n - Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes\n\n - Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities\n\n - Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment\n\n - You are skilled at prioritization, effectively balancing urgent support requests with long-term project work.\n\n - Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.\n\n\n\n\nCOMPENSATION:\n\n£110,000-£140,000 base salary + equity\n\nLocation:\n\n - UK, London\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d81c35c1-7243-45e4-bfe2-7fc8746c76b9","title":"Software Engineering Manager, Database (SmithDB)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-05T15:57:07.676+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d81c35c1-7243-45e4-bfe2-7fc8746c76b9","applyUrl":"https://jobs.ashbyhq.com/langchain/d81c35c1-7243-45e4-bfe2-7fc8746c76b9/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.
About the role
We're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.
What you'll do
Write and review production Rust code across ingestion, query execution, and storage layers
Lead architectural decisions on storage format, compaction, indexing, and query planning
Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix
Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)
Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight
Build and maintain observability for the engine itself: metrics, tracing, debug tooling
Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers
Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership
Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates
What you'll bring
7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role
Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale
Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction
Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)
Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment
Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)
Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge
Nice-to-have:
Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores
Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)
Experience scaling a system from early-stage to hundreds of billions / trillions of records
Compensation
Salary Range: $240,000-$300,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the team\n\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\n\n \n\nAbout the role\n\nWe're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.\n\n \n\nWhat you'll do\n\n - Write and review production Rust code across ingestion, query execution, and storage layers\n\n - Lead architectural decisions on storage format, compaction, indexing, and query planning\n\n - Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix\n\n - Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)\n\n - Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight\n\n - Build and maintain observability for the engine itself: metrics, tracing, debug tooling\n\n - Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers\n\n - Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership\n\n - Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates\n\n \n\nWhat you'll bring\n\n - 7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role\n\n - Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale\n\n - Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction\n\n - Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)\n\n - Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment\n\n - Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)\n\n - Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge\n \n \n\nNice-to-have:\n\n - Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores\n\n - Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)\n\n - Experience scaling a system from early-stage to hundreds of billions / trillions of records\n\n \n\nCompensation\n\nSalary Range: $240,000-$300,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"825b6d91-bc5e-4165-8a7c-2022a2248f7e","title":"GTM Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-04-29T19:21:59.660+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/825b6d91-bc5e-4165-8a7c-2022a2248f7e","applyUrl":"https://jobs.ashbyhq.com/langchain/825b6d91-bc5e-4165-8a7c-2022a2248f7e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
Expertise with LangSmith for evaluation and monitoring.
Experience building or maintaining open-source projects.
A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.\n\nYou will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.\n\n\n\n\nYOU WILL:\n\n - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.\n\n - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.\n\n - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.\n\n - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.\n\n - Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.\n\n\nWHAT WE ARE LOOKING FOR:\n\n - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.\n\n - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.\n\n - Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.\n\n - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.\n\n - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.\n\nNice to Haves:\n\n - Expertise with LangSmith for evaluation and monitoring.\n\n - Experience building or maintaining open-source projects.\n\n - A background in technical consulting, solutions engineering, or high-growth GTM teams.\n\nCompensation:\n\n - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.\n\n - Salary: $160K - $180K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"bdc96ffd-2a95-4d63-bf8f-193574961e00","title":"Research Engineer, LangSmith Engine","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-08-14T17:40:43.334+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/bdc96ffd-2a95-4d63-bf8f-193574961e00","applyUrl":"https://jobs.ashbyhq.com/langchain/bdc96ffd-2a95-4d63-bf8f-193574961e00/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents.
We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient.
You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.
This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.
Location: SF and NYC
Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.
Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.
Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.
Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.
Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.
4+ years of experience in ML/AI research, or a closely related field.
Master’s or Ph.D. in a relevant scientific field.
Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance
Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.
Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.
You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.
Ph.D. in Machine Learning, Computer Science or Physics.
Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.
Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.
Experience optimizing LLM agents for cost, latency, or task efficiency on productions
Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.
Compensation
Salary Range: $240,000-$280,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\nThe LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents.\n\n\n\n\nABOUT THE ROLE:\n\nWe’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient.\n\n\n\nYou’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.\n\n\n\nThis role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.\n\nLocation: SF and NYC\n\n\n\n\nWHAT YOU’LL DO:\n\n - Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.\n\n - Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.\n\n - Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.\n\n - Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.\n\n - Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.\n\n\n\n\nWHAT YOU’LL BRING:\n\n - 4+ years of experience in ML/AI research, or a closely related field.\n\n - Master’s or Ph.D. in a relevant scientific field.\n\n - Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance\n\n - Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.\n\n - Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.\n\n - You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.\n\n\n\n\nNICE TO HAVE:\n\n - Ph.D. in Machine Learning, Computer Science or Physics.\n\n - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.\n\n - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.\n\n - Experience optimizing LLM agents for cost, latency, or task efficiency on productions\n\n - Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.\n\n\n\nCompensation\n\nSalary Range: $240,000-$280,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"df3a645d-5c08-4ea2-8823-7e40a5cbf9a6","title":"Enterprise Account Executive, South EMEA (UK)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-07T20:00:56.214+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/df3a645d-5c08-4ea2-8823-7e40a5cbf9a6","applyUrl":"https://jobs.ashbyhq.com/langchain/df3a645d-5c08-4ea2-8823-7e40a5cbf9a6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
UK
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
Native French Speaker
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - UK\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n - Native French Speaker\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"60d3bd4f-e80f-45fb-9801-725d8b681d54","title":"Deployed Engineer (Seattle)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Seattle, WA","secondaryLocations":[],"publishedAt":"2026-06-04T22:45:21.880+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/60d3bd4f-e80f-45fb-9801-725d8b681d54","applyUrl":"https://jobs.ashbyhq.com/langchain/60d3bd4f-e80f-45fb-9801-725d8b681d54/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $165,000–$380,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $165,000–$380,000 USD\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"068b2e23-af01-42c7-9bce-d86976ea4d6e","title":"Senior Software Engineer, Database (SmithDB)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-13T17:16:28.472+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/068b2e23-af01-42c7-9bce-d86976ea4d6e","applyUrl":"https://jobs.ashbyhq.com/langchain/068b2e23-af01-42c7-9bce-d86976ea4d6e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.
About the role
We're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco.
What you'll do
Engineer performant Rust code for ingestion and query execution
Optimize for cost and speed, heavily utilizing memory and CPU profiling
Integrate tightly with cloud object stores (S3/GCS/Azure Blob)
Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency)
Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)
What you'll bring
5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use.
Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction
Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.
Familiarity with similar query execution engines is a plus
Experience with Kubernetes, distributed systems, and cloud object storage is a plus.
Strong fundamentals in networking, OS concepts, and systems debugging.
Compensation
Salary Range: $185,000-$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the team\n\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\n\n\n\nAbout the role\n\nWe're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco.\n\n \n\nWhat you'll do\n\n - Engineer performant Rust code for ingestion and query execution\n\n - Optimize for cost and speed, heavily utilizing memory and CPU profiling\n\n - Integrate tightly with cloud object stores (S3/GCS/Azure Blob)\n\n - Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency)\n\n - Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)\n\n \n\nWhat you'll bring\n\n - 5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use.\n\n - Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction\n\n - Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.\n\n - Familiarity with similar query execution engines is a plus\n\n - Experience with Kubernetes, distributed systems, and cloud object storage is a plus.\n\n - Strong fundamentals in networking, OS concepts, and systems debugging.\n\n \n\nCompensation\n\nSalary Range: $185,000-$250,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"b47dbcea-222c-427d-bf4d-9e30a6b60d4a","title":"Sales Engineer (Bay Area)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-14T17:39:12.696+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b47dbcea-222c-427d-bf4d-9e30a6b60d4a","applyUrl":"https://jobs.ashbyhq.com/langchain/b47dbcea-222c-427d-bf4d-9e30a6b60d4a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nSales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n\n\n\n\nABOUT THE ROLE\n\n\n\nYou'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $185,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"2b151a4e-f3a4-41fc-95f7-4e802906f2cb","title":"Head of Narratives","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-04T23:57:03.019+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/2b151a4e-f3a4-41fc-95f7-4e802906f2cb","applyUrl":"https://jobs.ashbyhq.com/langchain/2b151a4e-f3a4-41fc-95f7-4e802906f2cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land.
We're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time.
You'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us.
This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.
Communications
Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else.
Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries.
Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view.
Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time.
Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name.
Brand
Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately.
Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction.
Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa.
Social & Rich Media
Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving.
Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time.
Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down.
Brand Design
Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments.
Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work.
Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too.
Team Leadership
Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example.
Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit.
Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.
Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard.
Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it.
Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design.
Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes.
Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar.
Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own.
Nice to Have
Experience leading narrative, brand, or comms teams at a developer-focused company
Background in technical or developer marketing
Familiarity with the AI/ML ecosystem and the tools developers use to build
Track record running brand campaigns, including out-of-home or awareness programs
Salary Range: $200K-$240K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nLangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land.\n\nWe're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time.\n\nYou'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us.\n\nThis is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.\n\n \n\n\nWHAT YOU'LL DO:\n\n\n\nCommunications\n\n - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else.\n\n - Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries.\n\n - Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view.\n\n - Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time.\n\n - Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name.\n\nBrand\n\n - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately.\n\n - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction.\n\n - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa.\n\nSocial & Rich Media\n\n - Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving.\n\n - Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time.\n\n - Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down.\n\nBrand Design\n\n - Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments.\n\n - Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work.\n\n - Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too.\n\nTeam Leadership\n\n - Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example.\n\n - Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit.\n\n - Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.\n\n \n\n\nWHAT WE'RE LOOKING FOR:\n\n - Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard.\n\n - Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it.\n\n - Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design.\n\n - Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes.\n\n - Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar.\n\n - Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own.\n\n\n\nNice to Have \n\n - Experience leading narrative, brand, or comms teams at a developer-focused company\n\n - Background in technical or developer marketing\n\n - Familiarity with the AI/ML ecosystem and the tools developers use to build\n\n - Track record running brand campaigns, including out-of-home or awareness programs\n\n\n\nSalary Range: $200K-$240K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c425239d-ddca-4333-84fd-d719b8d3cb8b","title":"Partner Alliance Lead - Federal","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-06-01T23:23:33.734+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c425239d-ddca-4333-84fd-d719b8d3cb8b","applyUrl":"https://jobs.ashbyhq.com/langchain/c425239d-ddca-4333-84fd-d719b8d3cb8b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.
You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.
Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.
Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.
Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.
Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.
Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.
Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.
Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.
Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.
FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.
Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.
Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.
Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.
Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.
Active security clearance (Secret or higher) or existing clearance eligibility.
Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.
Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.
Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).
Annual Salary Range: $190,000 to 270,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nAs our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.\n\nYou are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.\n\n - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.\n\n - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.\n\n - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.\n\n - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.\n\n - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.\n\n - Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.\n\n\nWHAT YOU'LL BRING\n\n - Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.\n\n - FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.\n\n - Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.\n\n - Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.\n\n - Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.\n\n - Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.\n\n\nNICE TO HAVE'S\n\n - Active security clearance (Secret or higher) or existing clearance eligibility.\n\n - Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.\n\n - Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.\n\n - Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).\n \n Annual Salary Range: $190,000 to 270,000 + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c882af7e-59aa-4017-b791-9a8094c0ef6f","title":"Deployed Architect, Professional Services (APAC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Remote - Singapore","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:17.138+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c882af7e-59aa-4017-b791-9a8094c0ef6f","applyUrl":"https://jobs.ashbyhq.com/langchain/c882af7e-59aa-4017-b791-9a8094c0ef6f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
$185,000-$260,000 base salary + equity
Location:
Singapore
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES:\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n\n\n\nCOMPENSATION:\n\n$185,000-$260,000 base salary + equity\n\nLocation:\n\n - Singapore\n\n - Remote with up to 25% travel\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"890884ed-1143-43a5-8a46-1aef8f66e119","title":"Regional Demand Generation Marketer","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:08.683+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/890884ed-1143-43a5-8a46-1aef8f66e119","applyUrl":"https://jobs.ashbyhq.com/langchain/890884ed-1143-43a5-8a46-1aef8f66e119/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns.
You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams.
Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return
Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market
Decide how the regional demand budget gets allocated for localized programs.
You'll own the whole mix for the region and be hands-on in all of it:
Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts
Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps
Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different
Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone.
Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline.
Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team.
Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days.
Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility.
7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS
Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't
You've personally run paid, webinars, lifecycle, and ABM
You write the copy, build the landing page, pull the report, and launch the campaign
Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script
Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number
Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits
Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev, and Clay
Comfortable with ambiguity and true ownership
£95,000-£125,000 base salary + equity
Location:
UK, London or The Netherlands, Amsterdam
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns.\n\nYou'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams.\n\n\n\n\nWHAT YOU'LL OWN:\n\n\nREGIONAL DEMAND STRATEGY AND PIPELINE:\n\n - Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return\n\n - Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market\n\n - Decide how the regional demand budget gets allocated for localized programs.\n\n\nFULL-FUNNEL PROGRAM EXECUTION:\n\nYou'll own the whole mix for the region and be hands-on in all of it:\n\n - Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts\n\n - Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps\n\n - Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different\n\n - Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone.\n\n\nCROSS-FUNCTIONAL PARTNERSHIP:\n\n - Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline.\n\n - Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team.\n\n - Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days.\n\n - Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility.\n\n\nWHAT WE'RE LOOKING FOR:\n\n - 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS\n\n - Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't\n\n - You've personally run paid, webinars, lifecycle, and ABM\n\n - You write the copy, build the landing page, pull the report, and launch the campaign\n\n - Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script\n\n - Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number\n\n - Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits\n\n - Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev http://Reo.dev, and Clay\n\n - Comfortable with ambiguity and true ownership\n \n \n\n\nCOMPENSATION:\n\n£95,000-£125,000 base salary + equity\n\nLocation:\n\n - UK, London or The Netherlands, Amsterdam\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c","title":"Senior Product Engineer - Growth & Monetization","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-10T21:02:36.170+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c","applyUrl":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.
About the role
LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City.
What you'll do
Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go)
Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users
Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics
Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences
Implement clean client-side event tracking and behavioral analytics to understand developer journeys
Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences
What you'll bring
Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind)
Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching)
Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys
Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions)
Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership
Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems
Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Salary Range: $165,000-$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.\n\n\n\nAbout the role\n\nLangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City.\n\n\n\nWhat you'll do\n\n - Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go)\n\n - Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users\n\n - Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics\n\n - Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences\n\n - Implement clean client-side event tracking and behavioral analytics to understand developer journeys\n\n - Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences\n\n\n\nWhat you'll bring\n\n - Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind)\n\n - Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching)\n\n - Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys\n\n - Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions)\n\n - Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership\n\n - Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - Salary Range: $165,000-$250,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"dfbba971-a7e2-4feb-a0d9-8e38a1155134","title":"Deployed Engineer (Early Career-NYC)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-07T19:53:53.433+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/dfbba971-a7e2-4feb-a0d9-8e38a1155134","applyUrl":"https://jobs.ashbyhq.com/langchain/dfbba971-a7e2-4feb-a0d9-8e38a1155134/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams and customers
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Build and run tailored demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
Strong Python, JavaScript and systems fundamentals
Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about shipping AI agents in production
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $160,000-185,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n\n\nABOUT THE ROLE\n\nYou'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n \n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams and customers\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Build and run tailored demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n \n\n\nWHAT YOU’LL BRING\n\n - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams\n\n - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about shipping AI agents in production\n\n \n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION\n\nAnnual OTE range: $160,000-185,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6f50988c-8e95-4a68-aeea-a94872651ff7","title":"IT Systems Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-10T14:49:10.376+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6f50988c-8e95-4a68-aeea-a94872651ff7","applyUrl":"https://jobs.ashbyhq.com/langchain/6f50988c-8e95-4a68-aeea-a94872651ff7/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.
Infrastructure & Automation
Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth
Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools
Implement monitoring and documentation practices that enable operational excellence
Client Platform Engineering
Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however.
Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems
Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale
Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing
Security & Identity Management
Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege
Identify and implement security enhancements across our SaaS stack
Partner with our Security team to drive improvement of our enterprise security posture
SaaS Administration
Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management
Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface
Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work
Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product.
Core IT Operations
Provide support to employees globally across hardware, software, networking, and IT tools
Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one
5+ years of experience in IT engineering and systems administration
Deep proficiency with Okta and Okta Workflows
Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation
Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems
Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations
Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase
Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster
Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT
Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs
Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products
Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)
Annual salary range: $150,000-$170,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.\n\n \n\n\nWHAT YOU'LL DO\n\nInfrastructure & Automation\n\n - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth\n\n - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools\n\n - Implement monitoring and documentation practices that enable operational excellence\n\nClient Platform Engineering\n\n - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however.\n\n - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems\n\n - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale\n\n - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing\n\nSecurity & Identity Management\n\n - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege\n\n - Identify and implement security enhancements across our SaaS stack\n\n - Partner with our Security team to drive improvement of our enterprise security posture\n\nSaaS Administration\n\n - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management\n\n - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface\n\n - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work\n\n - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product.\n\nCore IT Operations\n\n - Provide support to employees globally across hardware, software, networking, and IT tools\n\n - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of experience in IT engineering and systems administration\n\n - Deep proficiency with Okta and Okta Workflows\n\n - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation\n\n - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems\n\n - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations\n\n - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase\n\n - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster\n\n - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT\n\n - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs\n\n - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products\n\n - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)\n \n \n\n - Annual salary range: $150,000-$170,00 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"28aba38e-de19-4ae5-9316-08575a11ae4d","title":"Product Designer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-07-23T04:09:14.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/28aba38e-de19-4ae5-9316-08575a11ae4d","applyUrl":"https://jobs.ashbyhq.com/langchain/28aba38e-de19-4ae5-9316-08575a11ae4d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability.
The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it.
*This position will be onsite in San Francisco, CA
Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs
Own the full design arc on your features — from early concepts to polished, shipped work
Work across a range of product areas and design initiatives as priorities shift
Collaborate closely with product, engineering and other key stakeholders to ship new features quickly
3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products
Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft
A track record of solving hard interaction design problems, particularly around dense technical data
Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs
You take initiative and ownership of tasks end-to-end
Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible
Start-up DNA - you thrive in fast-paced, highly dynamic environments
Annual salary range: $145,000-$185,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\n\n\nWe're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability.\n\nThe common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it.\n\n*This position will be onsite in San Francisco, CA\n\n\n\n\nWHAT YOU'LL DO:\n\n\n\n - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs\n\n - Own the full design arc on your features — from early concepts to polished, shipped work\n\n - Work across a range of product areas and design initiatives as priorities shift\n\n - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly\n \n \n\n\nWHAT YOU'LL BRING:\n\n\n\n - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products\n\n - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft\n\n - A track record of solving hard interaction design problems, particularly around dense technical data\n\n - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs\n\n - You take initiative and ownership of tasks end-to-end \n\n - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible\n\n - Start-up DNA - you thrive in fast-paced, highly dynamic environments \n \n \n\nAnnual salary range: $145,000-$185,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7441ccb7-bc77-4966-8d2f-e9ff487bc651","title":"Marketing Operations Systems","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-07-15T22:21:13.451+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7441ccb7-bc77-4966-8d2f-e9ff487bc651","applyUrl":"https://jobs.ashbyhq.com/langchain/7441ccb7-bc77-4966-8d2f-e9ff487bc651/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Marketing Operations Team
We're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools.
You'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily.
This role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week.
Key Responsibilities:
Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place.
Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live.
Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work.
Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy.
Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs.
Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively.
Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions.
Preferred experience & skills
Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms.
Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.
Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them.
An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms.
A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to.
Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks.
Nice to Have:
Background in paid media operations or ad tech integrations
Experience running AI enablement for a non-technical team
If this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper.
Compensation $155,000 -$185,000 + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nMarketing Operations Team\n\nWe're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools.\n\nYou'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily.\n\nThis role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week.\n\n\n\nKey Responsibilities:\n\n - Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place.\n\n - Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live.\n\n - Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work.\n\n - Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy.\n\n - Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs.\n\n - Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively.\n\n - Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions.\n\n\n\nPreferred experience & skills\n\n - Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms.\n\n - Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.\n\n - Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them.\n\n - An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms.\n\n - A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to.\n\n - Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks.\n\nNice to Have:\n\n - Background in paid media operations or ad tech integrations\n\n - Experience running AI enablement for a non-technical team\n\nIf this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper.\n\nCompensation $155,000 -$185,000 + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d96a60dd-849b-4a2f-a48a-ea73845b86ea","title":"Enterprise Account Executive - Benelux & Nordics","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-07-31T10:48:25.068+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"","streetAddress":"Keizersgracht 555","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d96a60dd-849b-4a2f-a48a-ea73845b86ea","applyUrl":"https://jobs.ashbyhq.com/langchain/d96a60dd-849b-4a2f-a48a-ea73845b86ea/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"0f35c8e1-9318-411d-929b-04c60e6d8522","title":"Deployed Engineer (Early Career- SF)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-07T18:47:07.616+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/0f35c8e1-9318-411d-929b-04c60e6d8522","applyUrl":"https://jobs.ashbyhq.com/langchain/0f35c8e1-9318-411d-929b-04c60e6d8522/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams and customers
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Build and run tailored demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
Strong Python, JavaScript and systems fundamentals
Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about shipping AI agents in production
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $160,000-185,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nYou'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams and customers\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Build and run tailored demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams\n\n - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about shipping AI agents in production\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION\n\nAnnual OTE range: $160,000-185,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"97ac0410-c6db-4c2a-9492-b68f62fcbbe3","title":"Commercial Account Executive - Southern EMEA","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-09-23T10:11:28.619+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/97ac0410-c6db-4c2a-9492-b68f62fcbbe3","applyUrl":"https://jobs.ashbyhq.com/langchain/97ac0410-c6db-4c2a-9492-b68f62fcbbe3/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in London,UK
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in London,UK\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"792b5e2e-be55-47db-be21-733a9dad8f32","title":"Sales Development Representative (NY) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-09T20:38:30.712+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/792b5e2e-be55-47db-be21-733a9dad8f32","applyUrl":"https://jobs.ashbyhq.com/langchain/792b5e2e-be55-47db-be21-733a9dad8f32/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation
On target Earnings: $125,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role:\n\nWe’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.\n\nYou’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.\n\nWhat makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.\n\n\n\nWhat You'll Do:\n\n - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.\n\n - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.\n\n - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.\n\n - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.\n\n - Use LangChain powered agents to test, learn, and improve prospecting strategies\n\n\n\nHow to be successful in this role:\n\n - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)\n\n - Clear, confident communicator who can engage both technical and business audiences\n\n - Motivated by learning, iteration, and experimentation you treat outreach like a craft\n\n - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way\n\n - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate\n\n - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction\n\n\n\nCompensation\n\n - On target Earnings: $125,000\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3a9b99ca-347f-4abf-8d34-9d66259c017f","title":"Commercial Account Executive - Benelux & Nordics","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-31T13:44:51.258+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3a9b99ca-347f-4abf-8d34-9d66259c017f","applyUrl":"https://jobs.ashbyhq.com/langchain/3a9b99ca-347f-4abf-8d34-9d66259c017f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in London,UK
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in London,UK\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"385313eb-bff4-4019-8106-42714dc9879a","title":"Deployed Engineer, Pre-Sales (Houston)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Houston, TX","secondaryLocations":[],"publishedAt":"2026-08-03T14:44:09.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"TX","addressCountry":"United States","addressLocality":"Houston"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/385313eb-bff4-4019-8106-42714dc9879a","applyUrl":"https://jobs.ashbyhq.com/langchain/385313eb-bff4-4019-8106-42714dc9879a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 25% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 25% of the time\n \n \n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6b6ee951-6f94-4a2f-9e53-8410e9928614","title":"Enterprise Account Executive (Colorado)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Denver, CO","secondaryLocations":[],"publishedAt":"2026-08-05T19:35:29.265+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6b6ee951-6f94-4a2f-9e53-8410e9928614","applyUrl":"https://jobs.ashbyhq.com/langchain/6b6ee951-6f94-4a2f-9e53-8410e9928614/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"98fcaa18-d323-49cd-b231-b2d4b905419d","title":"Solutions Engineer (Chicago)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-08-18T21:36:57.999+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/98fcaa18-d323-49cd-b231-b2d4b905419d","applyUrl":"https://jobs.ashbyhq.com/langchain/98fcaa18-d323-49cd-b231-b2d4b905419d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.
This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.
We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.
You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.
Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo
Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations
Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement
Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations
Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts
Contribute code upstream when it meaningfully improves customer outcomes
6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up
Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations
Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make
A track record of taking responsibility for outcomes, not just recommendations
A bias toward action and a willingness to figure things out as you go
Genuine interest in operating AI agents in production, not just building demos
You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Experience carrying a technical number or working against pipeline alongside a sales team
Experience with LLM evaluation, observability, or guardrails
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.\n\nThis is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.\n\nWe sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.\n\n \n\n\nABOUT THE ROLE\n\nYou will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.\n\n \n\n\nWHAT YOU'LL DO\n\n - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo\n\n - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations\n\n - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations\n\n - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts\n\n - Contribute code upstream when it meaningfully improves customer outcomes\n\n \n\n\nWHAT YOU'LL BRING\n\n - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up\n\n - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations\n\n - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make\n\n - A track record of taking responsibility for outcomes, not just recommendations\n\n - A bias toward action and a willingness to figure things out as you go\n\n - Genuine interest in operating AI agents in production, not just building demos\n\n \n\n\nNICE TO HAVES\n\n - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Experience carrying a technical number or working against pipeline alongside a sales team\n\n - Experience with LLM evaluation, observability, or guardrails\n\n - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n \n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.\n\nLooking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.\n\n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"47a3bc2a-2bed-4d61-b1de-b3d7ec211a08","title":"Partner Engineer","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-14T13:09:32.938+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/47a3bc2a-2bed-4d61-b1de-b3d7ec211a08","applyUrl":"https://jobs.ashbyhq.com/langchain/47a3bc2a-2bed-4d61-b1de-b3d7ec211a08/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
About the role
AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.
You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.
Key responsibilities
Cloud partner engineering (AWS, GCP, Azure)
Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
Marketplace motions with services partners
Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
Partner technical evangelism and feedback
Serve as a technical escalation point for complex deployments sourced through cloud partners
Represent LangChain at cloud provider events, summits, and joint webinars
Gather feedback from cloud partners and the field, and route it back to product and engineering
What we're looking for
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Cloud and partner experience
Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
Comfortable working across engineering, partnerships, and sales at the same time
Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent engineering and development
Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
Strong Python skills
Cloud architecture and integration
Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.
Hands-on experience with cloud AI platforms and managed model services
Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
Familiarity with vector stores, tool integration, and API design in agentic systems
Key attributes
You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain
Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit
You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you
You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off
San Francisco
$185K to $225K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nCloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.\n\nYou'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.\n\nAbout the role\n\nAWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.\n\nYou'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.\n\nKey responsibilities\n\nCloud partner engineering (AWS, GCP, Azure)\n\n - Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure\n\n - Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)\n\n - Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers\n\n - Partner with cloud account teams on solutioning for named accounts, from discovery through technical win\n\n - Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves\n\n - Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal\n\n - Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets\n\nMarketplace motions with services partners\n\n - Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud\n\n - Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program\n\nPartner technical evangelism and feedback\n\n - Serve as a technical escalation point for complex deployments sourced through cloud partners\n\n - Represent LangChain at cloud provider events, summits, and joint webinars\n\n - Gather feedback from cloud partners and the field, and route it back to product and engineering\n\nWhat we're looking for\n\n7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.\n\nCloud and partner experience\n\n - Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win\n\n - Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs\n\n - Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal\n\n - Comfortable working across engineering, partnerships, and sales at the same time\n\n - Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives\n\nAgent engineering and development\n\n - Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture\n\n - Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results\n\n - Strong Python skills\n\nCloud architecture and integration\n\n - Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.\n\n - Hands-on experience with cloud AI platforms and managed model services\n\n - Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse\n\n - Familiarity with vector stores, tool integration, and API design in agentic systems\n\nKey attributes\n\n - You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain\n\n - Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit\n\n - You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you\n\n - You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off\n\n\nLOCATION:\n\nSan Francisco\n\n\nCOMPENSATION:\n\n$185K to $225K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"01b42b2d-538f-4d5f-b9f1-2de1197bc0cb","title":"Commercial Account Executive (NYC)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-09T20:48:28.761+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/01b42b2d-538f-4d5f-b9f1-2de1197bc0cb","applyUrl":"https://jobs.ashbyhq.com/langchain/01b42b2d-538f-4d5f-b9f1-2de1197bc0cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation:
Annual salary range: $220,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\n\n\nCompensation:\n\n - Annual salary range: $220,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7af64749-bc2c-4722-b40a-febac36fc56b","title":"Solutions Marketing Manager","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-18T01:03:39.745+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7af64749-bc2c-4722-b40a-febac36fc56b","applyUrl":"https://jobs.ashbyhq.com/langchain/7af64749-bc2c-4722-b40a-febac36fc56b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases.
This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy.
You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation.
The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production.
You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market.
Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities.
Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences.
Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content.
Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need.
Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations.
Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions.
Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context.
Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs.
Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams.
Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up.
You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role.
You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products.
You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.”
You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations.
You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging.
You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement.
You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users.
You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life.
You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve.
You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work.
Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries.
Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral.
Familiarity with the LLM, agent, or AI application development ecosystem.
Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.
You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field.
You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control.
You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly.
Compensation: 140,000 - 195,000K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases.\n\nThis role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy.\n\nYou’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation.\n\nThe role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production.\n\nYou’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market.\n\n\n\n\nWHAT YOU’LL DO\n\n\nDEVELOP INDUSTRY AND USE CASE SOLUTIONS\n\n - Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities.\n\n - Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences.\n\n - Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content.\n\n - Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need.\n\n - Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations.\n\n\nSUPPORT ENTERPRISE GTM MOTIONS\n\n - Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions.\n\n - Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context.\n\n - Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs.\n\n - Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams.\n\n - Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up.\n\n\n\n\nWHAT YOU’LL BRING\n\n - You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role.\n\n - You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products.\n\n - You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.”\n\n - You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations.\n\n - You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging.\n\n - You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement.\n\n - You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users.\n\n - You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life.\n\n - You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve.\n\n - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work.\n\n\nNICE TO HAVE\n\n - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries.\n\n - Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral.\n\n - Familiarity with the LLM, agent, or AI application development ecosystem.\n\n - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.\n\n\nWHY JOIN\n\n - You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field.\n\n - You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control.\n\n - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly.\n \n Compensation: 140,000 - 195,000K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c450c07a-196e-4ad4-9938-f368eb0ba65d","title":"Deployed Engineer, Professional Services (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-09T22:10:41.068+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c450c07a-196e-4ad4-9938-f368eb0ba65d","applyUrl":"https://jobs.ashbyhq.com/langchain/c450c07a-196e-4ad4-9938-f368eb0ba65d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Willing to travel up to 20% of the time.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
San Francisco, CA
$150,000-$300,000 base + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n - Willing to travel up to 20% of the time.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nSan Francisco, CA\n\n\n\n\nCOMPENSATION\n\n$150,000-$300,000 base + equity\n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"329c0b62-0ca0-4311-a827-50a5a3333861","title":"Deployed Engineer, Professional Services (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-09T22:10:31.032+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/329c0b62-0ca0-4311-a827-50a5a3333861","applyUrl":"https://jobs.ashbyhq.com/langchain/329c0b62-0ca0-4311-a827-50a5a3333861/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Willing to travel up to 20% of the time.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
New York, New York
$150,000-$300,000 base + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n - Willing to travel up to 20% of the time.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nNew York, New York\n\n\n\n\nCOMPENSATION\n\n$150,000-$300,000 base + equity\n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b","title":"Deployed Engineer, Professional Services","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"Dallas, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}}},{"location":"Las Vegas, NV","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Nashville, TN","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"Detroit, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Detroit"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Denver, CO","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-10-09T22:10:52.291+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b","applyUrl":"https://jobs.ashbyhq.com/langchain/d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Willing to travel up to 20% of the time.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
Remote
$150,000-$270,000 base + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n - Willing to travel up to 20% of the time.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nRemote\n\n\n\n\nCOMPENSATION\n\n$150,000-$270,000 base + equity\n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e67d79a1-cbeb-4dd2-8c81-00eb0969f911","title":"Lead Applied AI Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-09-04T19:46:36.578+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e67d79a1-cbeb-4dd2-8c81-00eb0969f911","applyUrl":"https://jobs.ashbyhq.com/langchain/e67d79a1-cbeb-4dd2-8c81-00eb0969f911/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.
We're looking for a Lead Applied AI Engineer based in our NYC office. This is a hands on role leading technical projects end to end and mentoring other engineers. You will help drive the development of complex agentic projects.
You're expected to build, ship, and also be the person other engineers come to when a project is stuck or a design decision needs a second set of eyes.
*This role is based onsite in New York, NY
Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains
Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes
Set the technical bar for the team on code quality, testing, documentation, and project scoping
Mentor engineers on the team through code review and design discussions
Work directly with customers and internal stakeholders to translate requirements into technical plans
Identify gaps in internal tooling, frameworks, and processes and drive enhancements
Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
Contribute to the LangChain and LangGraph ecosystem, including openView Posting source components, documentation, and shared tools.
4+ years of software engineering experience with direct experience building and deploying LLM-powered applications or agents in production
Experience leading technical projects end to end, mentoring engineers and raising the technical quality of a team
Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
Strong coding skills in Python or TypeScript (ideally both).
Excellent communicator who can simplify complex technical ideas for diverse audiences.
Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.
Based in or willing to relocate to New York, NY
Expertise with LangChain or LangGraph.
Experience building or maintaining open source projects.
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual Annual Salary Range: $160,000 - $200,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\nThe Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.\n\n\n\n \n\n\nABOUT THE ROLE:\n\nWe're looking for a Lead Applied AI Engineer based in our NYC office. This is a hands on role leading technical projects end to end and mentoring other engineers. You will help drive the development of complex agentic projects. \n\n You're expected to build, ship, and also be the person other engineers come to when a project is stuck or a design decision needs a second set of eyes.\n\n*This role is based onsite in New York, NY\n\n\n\n \n\n\nWHAT YOU'LL DO: \n\n - Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains\n\n - Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes\n\n - Set the technical bar for the team on code quality, testing, documentation, and project scoping\n\n - Mentor engineers on the team through code review and design discussions \n\n - Work directly with customers and internal stakeholders to translate requirements into technical plans\n\n - Identify gaps in internal tooling, frameworks, and processes and drive enhancements\n\n - Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.\n\n - Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.\n\n - Contribute to the LangChain and LangGraph ecosystem, including openView Posting https://jobs.ashbyhq.com/langchain/c4bdc833-638a-4bac-8ae4-f2ec491ec7d3 source components, documentation, and shared tools.\n\n \n\n\nWHAT YOU'LL BRING:\n\n - 4+ years of software engineering experience with direct experience building and deploying LLM-powered applications or agents in production\n\n - Experience leading technical projects end to end, mentoring engineers and raising the technical quality of a team\n\n - Hands-on experience implementing evaluation and monitoring systems for agents or workflows.\n\n - Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.\n\n - Strong coding skills in Python or TypeScript (ideally both).\n\n - Excellent communicator who can simplify complex technical ideas for diverse audiences.\n\n - Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.\n\n - Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.\n\n - Based in or willing to relocate to New York, NY\n \n \n\n\nNICE TO HAVES:\n\n - Expertise with LangChain or LangGraph.\n\n - Experience building or maintaining open source projects.\n\n \n\n\nCOMPENSATION\n\nWe offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual Annual Salary Range: $160,000 - $200,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"eadd2a71-47fc-483b-948f-4b2384f7f93f","title":"Software Engineer, Agent Systems (GTM Engineering) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-06T20:19:37.283+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/eadd2a71-47fc-483b-948f-4b2384f7f93f","applyUrl":"https://jobs.ashbyhq.com/langchain/eadd2a71-47fc-483b-948f-4b2384f7f93f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas:
Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate
Build — design, build, and deploy production AI agents and automated workflows across GTM
Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement
Evangelize — share what we build and learn externally through content, demos, talks, and open source examples
You'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces.
Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them
Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner
Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests
Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching
Track usage and adoption per rep and per feature, and own the weekly health report the team runs on
Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI
Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers
Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables
Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics
SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern
Healthy skepticism about metrics; you check what a number actually counts before you publish it
Clear writing skills, and interest in publishing what you learn
High agency; you notice what's missing and take initiative to build it
LangGraph or LangSmith experience
Experience building an eval suite from scratch
BigQuery or dbt
Prior DevRel-adjacent writing
Empathy for sales and go-to-market users
Salary: $165,000 - $220,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\n\nGTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas:\n\n - Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate\n\n - Build — design, build, and deploy production AI agents and automated workflows across GTM\n\n - Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement\n\n - Evangelize — share what we build and learn externally through content, demos, talks, and open source examples\n \n \n\n\nABOUT THE ROLE:\n\nYou'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them\n\n - Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner\n\n - Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests\n\n - Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching\n\n - Track usage and adoption per rep and per feature, and own the weekly health report the team runs on\n\n - Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI\n\n - Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers\n\n\n\n\nWHAT YOU'LL BRING:\n\n - Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables\n\n - Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics\n\n - SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern\n\n - Healthy skepticism about metrics; you check what a number actually counts before you publish it\n\n - Clear writing skills, and interest in publishing what you learn\n\n - High agency; you notice what's missing and take initiative to build it\n\n\n\n\nNICE TO HAVES:\n\n - LangGraph or LangSmith experience\n\n - Experience building an eval suite from scratch\n\n - BigQuery or dbt\n\n - Prior DevRel-adjacent writing\n\n - Empathy for sales and go-to-market users\n\n\n\nSalary: $165,000 - $220,000\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"88cba16a-9131-4166-96a7-8f879edcda27","title":"People Operations Specialist","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-17T21:23:59.923+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/88cba16a-9131-4166-96a7-8f879edcda27","applyUrl":"https://jobs.ashbyhq.com/langchain/88cba16a-9131-4166-96a7-8f879edcda27/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters.
Our People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours.
This is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations.
Location/City:
San Francisco, CA — in office 5 days per week.
Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished.
Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience.
Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us.
Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice.
Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires.
Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking.
Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred).
Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits.
Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice.
AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought.
White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion.
Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it.
Operating Principles: You exemplify our operating principles.
Experience standing up or rebuilding an onboarding program, not just running an existing one
Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent)
Global onboarding exposure
Experience with LangSmith, Claude, or a similar tools
Annual salary range: $100,000 – $110,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters.\n\n\n\n\nABOUT THE ROLE\n\nOur People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours.\n\nThis is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations.\n\n\n\nLocation/City:\n\nSan Francisco, CA — in office 5 days per week.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished.\n\n - Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience.\n\n - Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us.\n\n - Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice.\n\n - Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires.\n\n - Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking.\n\n\n\n\nWHAT YOU'LL BRING\n\n - Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred).\n\n - Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits.\n\n - Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice.\n\n - AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought.\n\n - White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion.\n\n - Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it.\n\n - Operating Principles: You exemplify our operating principles https://www.langchain.com/careers.\n\n\n\n\nNICE TO HAVE\n\n - Experience standing up or rebuilding an onboarding program, not just running an existing one\n\n - Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent)\n\n - Global onboarding exposure\n\n - Experience with LangSmith, Claude, or a similar tools\n\n\n\nAnnual salary range: $100,000 – $110,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"24af8cb4-aa2a-4d98-a6af-9feb6817f872","title":"Account Executive (Mid Market- NYC)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-09T19:55:34.657+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/24af8cb4-aa2a-4d98-a6af-9feb6817f872","applyUrl":"https://jobs.ashbyhq.com/langchain/24af8cb4-aa2a-4d98-a6af-9feb6817f872/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York City, Austin and Chicago
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
How to be successful in this role:
4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more
Annual salary: $280,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York City, Austin and Chicago\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\n\n\nHow to be successful in this role:\n\n - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\n\n\nCompensation & Benefits:\n\n - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more\n\n - Annual salary: $280,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"b23ea9af-c6dc-40fa-86ce-75042b905173","title":"Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-12T07:00:25.742+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b23ea9af-c6dc-40fa-86ce-75042b905173","applyUrl":"https://jobs.ashbyhq.com/langchain/b23ea9af-c6dc-40fa-86ce-75042b905173/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
This role is based onsite in Boston, MA.
We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.
Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
Collaborate on architectural decisions to ensure systems are performant and maintainable.
Optimize storage and query performance for high-volume observability and evaluation data.
Ensure system reliability through strong testing, monitoring, and alerting practices.
Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
Create and maintain technical documentation, including system design and API references.
Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
4+ years of professional experience in backend engineering working on highly complex products
Proficiency in one or more backend languages/frameworks, ideally Python and/or Go
Strong understanding of API design and building reliable data services.
Experience with high-throughput, mission-critical systems.
Demonstrated ability to optimize backend services for performance and reliability.
Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus.
Strong communication skills, with the ability to collaborate cross-functionally.
Customer centricity and ownership mentality
Annual salary range: $170,000- $235,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nThis role is based onsite in Boston, MA. \n\n\nWe are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n \n \n\n\nWHAT YOU'LL BRING:\n\n - 4+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python and/or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput, mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus.\n\n - Strong communication skills, with the ability to collaborate cross-functionally.\n\n - Customer centricity and ownership mentality\n\n\n\nAnnual salary range: $170,000- $235,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e6d2bc1e-e0b9-4076-be01-ef8681863c01","title":"Senior Fullstack Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-09-12T07:06:57.811+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e6d2bc1e-e0b9-4076-be01-ef8681863c01","applyUrl":"https://jobs.ashbyhq.com/langchain/e6d2bc1e-e0b9-4076-be01-ef8681863c01/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
This role is onsite 5 days/week in Boston, MA
We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders.
Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
Collaborate closely with product and design teams to iterate on new features.
Help drive aggressive project timelines while ensuring high engineering standards are being met.
Lead by example in writing clean, maintainable, and well-tested code.
5+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
Strong understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Strong ownership mindset
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nThis role is onsite 5 days/week in Boston, MA\n\nWe're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders.\n\n\n\nWHAT YOU WILL DO\n\n - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.\n\n - Collaborate closely with product and design teams to iterate on new features.\n\n - Help drive aggressive project timelines while ensuring high engineering standards are being met.\n\n - Lead by example in writing clean, maintainable, and well-tested code.\n\n\n\n\nWHAT YOU BRING\n\n - 5+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.\n\n - Strong understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application\n\n - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Strong ownership mindset\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n \n \n\nCompensation \n\n - Annual salary range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f0396971-39fa-4d40-9af8-60e529bb6c86","title":"Software Engineering Manager, AI Observability & Evals Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-09-11T03:09:29.305+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f0396971-39fa-4d40-9af8-60e529bb6c86","applyUrl":"https://jobs.ashbyhq.com/langchain/f0396971-39fa-4d40-9af8-60e529bb6c86/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.
Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
Engage directly with customers to understand their needs and translate them into actionable product improvements
Experience managing or tech-leading teams delivering complex full-stack products
Strong technical background in Go/Python and React/Typescript
Solid understanding of databases (Postgres, Redis and ClickHouse)
Proven ability to design high throughput data-intensive systems
Bias towards shipping quickly and learning from customers
Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers
Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $220,000- $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n \n\n\nABOUT THE ROLE\n\nWe’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.\n\n \n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability\n\n - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence\n\n - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform\n\n - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives\n\n - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus\n\n - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript\n\n - Engage directly with customers to understand their needs and translate them into actionable product improvements\n\n \n\n\nWHAT YOU'LL BRING\n\n - Experience managing or tech-leading teams delivering complex full-stack products\n\n - Strong technical background in Go/Python and React/Typescript\n\n - Solid understanding of databases (Postgres, Redis and ClickHouse)\n\n - Proven ability to design high throughput data-intensive systems\n\n - Bias towards shipping quickly and learning from customers\n\n - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers\n\n - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms\n\n \n\nAnnual salary range: $220,000- $270,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"0ee73994-b8a3-4a75-9675-da536abd3e10","title":"Deployed Engineer, Professional Services (APAC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Remote - Singapore","secondaryLocations":[],"publishedAt":"2026-10-10T16:57:12.610+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/0ee73994-b8a3-4a75-9675-da536abd3e10","applyUrl":"https://jobs.ashbyhq.com/langchain/0ee73994-b8a3-4a75-9675-da536abd3e10/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Willing to travel up to 20% of the time.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
$185,000-$260,000 base salary + equity
Location:
Singapore
Remote with up to 25% travel
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS:\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n - Willing to travel up to 20% of the time.\n\n\nNICE TO HAVE:\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\n\n\n\nCOMPENSATION:\n\n$185,000-$260,000 base salary + equity\n\nLocation:\n\n - Singapore\n\n - Remote with up to 25% travel\n\n\n\nLooking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7c4fd239-1166-4ed4-b7bf-686b7a390928","title":"Enterprise Account Executive (AZ)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Arizona","secondaryLocations":[],"publishedAt":"2026-09-23T01:31:55.704+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7c4fd239-1166-4ed4-b7bf-686b7a390928","applyUrl":"https://jobs.ashbyhq.com/langchain/7c4fd239-1166-4ed4-b7bf-686b7a390928/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"14727440-65bd-4cce-bed1-27d0c863eab3","title":"Senior Frontend Engineer, AI Observabilty Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-09-24T19:22:18.136+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/14727440-65bd-4cce-bed1-27d0c863eab3","applyUrl":"https://jobs.ashbyhq.com/langchain/14727440-65bd-4cce-bed1-27d0c863eab3/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
(Onsite in Boston)
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Annual salary range: $170,000-$235,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\n(Onsite in Boston)\n\nWe’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. \n\n \n\n\nWHAT YOU WILL DO\n\n - Develop new user-facing features using React & Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n \n \n\n\nWHAT YOU WILL BRING\n\n - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n \n\nAnnual salary range: $170,000-$235,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e39f60c8-6bfb-4ca4-b1b0-dd3d44d128bc","title":"IT Systems Administrator","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-05T14:31:45.910+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e39f60c8-6bfb-4ca4-b1b0-dd3d44d128bc","applyUrl":"https://jobs.ashbyhq.com/langchain/e39f60c8-6bfb-4ca4-b1b0-dd3d44d128bc/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow.
This is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation.
SaaS Administration
Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management
Administer LangSmith, our product, and use APIs to automate admin work
Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365
Automation and Tooling
Develop scripts, integrations, and reusable workflows using low or no code tools
Connect systems through APIs and event-driven workflows to reduce manual work
Identity Management
Administer Okta and user access
Manage Okta group rules that help define our RBAC policy
Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews
Client Platform Administration
Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations
Automate the hardware lifecycle from procurement, assignment, return, and recycling
Core IT Operations
Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools
Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own
Write documentation and playbooks, and use recurring support issues to guide what to automate next
3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup
Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT
Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows
Comfort with REST APIs, webhooks, and API authentication methods
Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow
Experience with a macOS MDM platform and endpoint security tooling
Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless)
Clear communication, with patience for non-technical users
Annual salary range: $120,000-$160,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow.\n\nThis is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation.\n\n\nWHAT YOU'LL DO\n\nSaaS Administration\n\n - Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management\n\n - Administer LangSmith, our product, and use APIs to automate admin work\n\n - Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365\n\nAutomation and Tooling\n\n - Develop scripts, integrations, and reusable workflows using low or no code tools\n\n - Connect systems through APIs and event-driven workflows to reduce manual work\n\nIdentity Management\n\n - Administer Okta and user access\n\n - Manage Okta group rules that help define our RBAC policy\n\n - Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews\n\nClient Platform Administration\n\n - Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations\n\n - Automate the hardware lifecycle from procurement, assignment, return, and recycling\n\nCore IT Operations\n\n - Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools\n\n - Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own\n\n - Write documentation and playbooks, and use recurring support issues to guide what to automate next\n\n\nWHAT YOU'LL BRING\n\n - 3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup\n\n - Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT\n\n - Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows\n\n - Comfort with REST APIs, webhooks, and API authentication methods\n\n - Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow\n\n - Experience with a macOS MDM platform and endpoint security tooling\n\n - Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless)\n\n - Clear communication, with patience for non-technical users\n \n \n\n - Annual salary range: $120,000-$160,00 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"20189c9d-f1af-4385-ae06-c3a6c7681ff0","title":"Senior Backend Software Engineer, AI Observability & Evals Platform (NYC) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-10-08T04:01:55.653+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/20189c9d-f1af-4385-ae06-c3a6c7681ff0","applyUrl":"https://jobs.ashbyhq.com/langchain/20189c9d-f1af-4385-ae06-c3a6c7681ff0/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
Collaborate on architectural decisions to ensure systems are performant and maintainable.
Optimize storage and query performance for high-volume observability and evaluation data.
Ensure system reliability through strong testing, monitoring, and alerting practices.
Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
Create and maintain technical documentation, including system design and API references.
Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
5+ years of professional experience in backend engineering working on highly complex products
Proficiency in one or more backend languages/frameworks, ideally Python or Go
Strong understanding of API design and building reliable data services.
Experience with high-throughput or mission-critical systems.
Demonstrated ability to optimize backend services for performance and reliability.
Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
Strong communication skills, with the ability to collaborate cross-functionally
Customer centricity and ownership mentality
Compensation
Annual salary range: $180,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n \n\n\nABOUT THE ROLE\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n \n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n \n \n\nCompensation \n\nAnnual salary range: $180,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"4beade3b-0bf2-4720-b553-0309880e22b4","title":"Senior Fullstack Software Engineer, AI Observability & Evals Platform (NY)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-08T04:05:32.870+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/4beade3b-0bf2-4720-b553-0309880e22b4","applyUrl":"https://jobs.ashbyhq.com/langchain/4beade3b-0bf2-4720-b553-0309880e22b4/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
Collaborate closely with product and design teams to iterate on new features.
Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
Lead by example in writing clean, maintainable, and well-tested code
5+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
Strong understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Strong ownership mindset
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.\n\n\n\nWHAT YOU WILL DO:\n\n - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.\n\n - Collaborate closely with product and design teams to iterate on new features.\n\n - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.\n\n - Lead by example in writing clean, maintainable, and well-tested code\n\n \n\n\nWHAT YOU BRING:\n\n - 5+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.\n\n - Strong understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application\n\n - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Strong ownership mindset\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n \n \n\nAnnual salary range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f5887f10-50e7-459f-80e4-4c22a7db77bd","title":"Sales Development Manager","department":"Sales","team":"Sales Development Representative","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-09T18:00:26.054+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f5887f10-50e7-459f-80e4-4c22a7db77bd","applyUrl":"https://jobs.ashbyhq.com/langchain/f5887f10-50e7-459f-80e4-4c22a7db77bd/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
Lead and coach a team of SDRs responsible for generating qualified pipeline
Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
Recruit top SDR talent and grow the team as LangChain continues to scale
Develop SDR talent through coaching, call reviews, and structured feedback
Build repeatable outbound and inbound qualification playbooks
Partner with marketing to convert inbound demand into qualified opportunities
Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
Implement systems and workflows that improve SDR productivity and effectiveness
Use data to continuously improve performance, analyzing conversion rates across the funnel
Have 5+ years of experience in sales development
Have 1–3+ years managing SDRs or leading a sales development team
Are comfortable working with technical products and developer audiences
Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
Are highly data-driven and comfortable managing performance through metrics
Are passionate about coaching and developing early-career sales talent
Thrive in fast-moving environments where processes are still evolving
Have strong communication and organizational skills
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain.\n\nOur SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.\n\nThis role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Lead and coach a team of SDRs responsible for generating qualified pipeline\n\n - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment\n\n - Recruit top SDR talent and grow the team as LangChain continues to scale\n\n - Develop SDR talent through coaching, call reviews, and structured feedback\n\n - Build repeatable outbound and inbound qualification playbooks\n\n - Partner with marketing to convert inbound demand into qualified opportunities\n\n - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals\n\n - Implement systems and workflows that improve SDR productivity and effectiveness\n\n - Use data to continuously improve performance, analyzing conversion rates across the funnel\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE:\n\n - Have 5+ years of experience in sales development\n\n - Have 1–3+ years managing SDRs or leading a sales development team\n\n - Are comfortable working with technical products and developer audiences\n\n - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)\n\n - Are highly data-driven and comfortable managing performance through metrics\n\n - Are passionate about coaching and developing early-career sales talent\n\n - Thrive in fast-moving environments where processes are still evolving\n\n - Have strong communication and organizational skills\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."}],"apiVersion":"1"}