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: $160,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: $160,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"df72edb4-6342-45f8-b728-83b8b932a397","title":"Enterprise Account Executive (Missouri)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"St. Louis, MO","secondaryLocations":[],"publishedAt":"2026-06-04T22:41:27.863+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Missouri","addressCountry":"United States","addressLocality":"St. Louis"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/df72edb4-6342-45f8-b728-83b8b932a397","applyUrl":"https://jobs.ashbyhq.com/langchain/df72edb4-6342-45f8-b728-83b8b932a397/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.
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 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. 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.
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 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:\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. 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\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. 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.
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. 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\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":"05efa205-8560-43fd-bfcc-3f7697561cfb","title":"JavaScript Engineer (Open Source Team) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2025-02-10T19:22:34.501+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/05efa205-8560-43fd-bfcc-3f7697561cfb","applyUrl":"https://jobs.ashbyhq.com/langchain/05efa205-8560-43fd-bfcc-3f7697561cfb/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 Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain.
About the Role
We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred.
What You'll Do
Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages
Improve documentation across the LangChain ecosystem
Answer user questions and resolve issues from the developer community
Use LangChain to build example applications that demonstrate best practices for developers building AI systems
What You'll Bring
3+ years of software engineering or applied machine learning experience
A background in software engineering
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 the most impactful work and help 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: $160,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain.\n\n\n\nAbout the Role\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred.\n\n\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the developer community\n\n - Use LangChain to build example applications that demonstrate best practices for developers building AI systems\n \n \n\nWhat You'll Bring\n\n - 3+ years of software engineering or applied machine learning experience\n\n - A background in software engineering\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 the most impactful work and help 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\n\nCompensation\n\n - Annual salary range: $160,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"15489f24-874c-44d2-b8fa-ca54834ba9f4","title":"Engagement Manager (NYC) ","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-04-14T20:39:40.965+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/15489f24-874c-44d2-b8fa-ca54834ba9f4","applyUrl":"https://jobs.ashbyhq.com/langchain/15489f24-874c-44d2-b8fa-ca54834ba9f4/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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world.
We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes.
This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Location: This role can be based in our San Francisco or New York 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. Open to remote candidates within the US.
Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff
Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes
Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines
Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning
Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards
You have 5+ years of engagement or project management experience, preferably with technical or software engagements
You've managed multiple concurrent engagements and know how to keep quality high across all of them
You have strong experience working with enterprise customers and leading customer-facing communication
You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation
You're experienced with project management tools such as Linear, Jira, Asana, or similar
You've handled scope change management and complex stakeholder dynamics
You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do
You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders
You exemplify our operating principles
You are motivated to build something great: you hold a high bar for quality, craft, and impact
You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate
You operate with maximum agency: you take ownership, move work forward independently, and help others unblock
You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges
PMP or similar project management certification
Experience in Professional Services or consulting
Experience with AI/ML or infrastructure engagements
Experience with time tracking and billing coordination
Knowledge of software development lifecycle and agile methodologies
Annual Salary: $170,000-$190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world.\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes.\n\nThis role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\nLocation: This role can be based in our San Francisco or New York 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. Open to remote candidates within the US.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff\n\n - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes\n\n - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines\n\n - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning\n\n - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards\n \n \n\n\nWHAT YOU'LL BRING:\n\n - You have 5+ years of engagement or project management experience, preferably with technical or software engagements\n\n - You've managed multiple concurrent engagements and know how to keep quality high across all of them\n\n - You have strong experience working with enterprise customers and leading customer-facing communication\n\n - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation\n\n - You're experienced with project management tools such as Linear, Jira, Asana, or similar\n\n - You've handled scope change management and complex stakeholder dynamics\n\n - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do\n\n - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders\n\nYou exemplify our operating principles\n\n - You are motivated to build something great: you hold a high bar for quality, craft, and impact\n\n - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate\n\n - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock\n\n - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges\n\n\nNICE TO HAVE:\n\n - PMP or similar project management certification\n\n - Experience in Professional Services or consulting\n\n - Experience with AI/ML or infrastructure engagements\n\n - Experience with time tracking and billing coordination\n\n - Knowledge of software development lifecycle and agile methodologies\n \n \n\n\nCOMPENSATION\n\nAnnual Salary: $170,000-$190,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"e1263bfe-b638-4019-b4d5-0aacca93b2b3","title":"Software Engineering Manager, AI Observability & Evals Platform (New York, NY)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-11T19:45:59.292+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/e1263bfe-b638-4019-b4d5-0aacca93b2b3","applyUrl":"https://jobs.ashbyhq.com/langchain/e1263bfe-b638-4019-b4d5-0aacca93b2b3/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: $200,000- $250,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\n - Annual salary range: $200,000- $250,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 ","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":"2025-02-19T01:34:44.923+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. 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.
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. 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\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":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"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":"Los Angeles, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-05-06T17:12:53.644+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
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Commercial Account Manager","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-04T22:46:09.962+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/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 commercial 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:
$150K-$200K On-Target Earnings
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\n\nWe’re hiring a results-driven commercial 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 - $150K-$200K On-Target Earnings\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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. 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.
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 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. 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\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 (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":"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.
In person 5 days/week in San Francisco, Boston, MA, New York.
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: $175,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nIn person 5 days/week in San Francisco, Boston, MA, New York.\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: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"6f32998b-111c-447b-b593-2b64c7de245d","title":"Senior Backend Engineer, Enterprise Readiness & Identity","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-01-08T12:04:43.145+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/6f32998b-111c-447b-b593-2b64c7de245d","applyUrl":"https://jobs.ashbyhq.com/langchain/6f32998b-111c-447b-b593-2b64c7de245d/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 Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.
About the Role
LangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.
This is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.
Location: In-person 5 days/week in New York City, San Francisco, or Boston.
What You'll Do
Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning
Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations
Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale
Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support
Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy
Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability
Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements
Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable
Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities
Write clean, maintainable, and well-documented backend code
What You'll Bring
Technical experience
5+ years of backend engineering experience with Python or Go (both preferred)
Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM
Experience building and scaling access control systems such as RBAC or ABAC frameworks
Experience building billing or usage infrastructure in SaaS environments
Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure
Enterprise systems experience
Comfort navigating enterprise security, compliance, and multi-tenant architectures
Prior experience building enterprise-grade SaaS platforms or developer platforms
Working style
Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments
Nice to Have
Background in security, observability, or developer infrastructure
Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Annual salary range: $175,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.\n\n\n\nAbout the Role\nLangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.\n\nThis is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.\n\nLocation: In-person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat You'll Do\n\n - Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning\n\n - Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations\n\n - Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale\n\n - Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support\n\n - Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy\n\n - Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability\n\n - Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements\n\n - Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable\n\n - Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities\n\n - Write clean, maintainable, and well-documented backend code\n\n\n\nWhat You'll Bring\n\n - Technical experience\n \n - 5+ years of backend engineering experience with Python or Go (both preferred)\n \n - Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM\n \n - Experience building and scaling access control systems such as RBAC or ABAC frameworks\n \n - Experience building billing or usage infrastructure in SaaS environments\n \n - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure\n \n Enterprise systems experience\n \n - Comfort navigating enterprise security, compliance, and multi-tenant architectures\n \n - Prior experience building enterprise-grade SaaS platforms or developer platforms\n \n Working style\n \n - Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments\n \n Nice to Have\n \n - Background in security, observability, or developer infrastructure\n \n - Familiarity with LLMs, GenAI applications, or agentic frameworks\n \n \n\nCompensation\n\n - Annual salary range: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"c75915ba-a32b-4e17-873d-19b47564170d","title":"Fullstack Software Engineer, Applied AI","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":"2025-09-12T06:08:52.349+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c75915ba-a32b-4e17-873d-19b47564170d","applyUrl":"https://jobs.ashbyhq.com/langchain/c75915ba-a32b-4e17-873d-19b47564170d/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 hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.
In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.
*This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are 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.
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.
Translate emerging AI research and tooling into practical, production-ready solutions.
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 open source components, documentation, and shared tools.
Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
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.
Expertise with LangChain or LangGraph.
Experience building or maintaining open source projects.
Background in applied AI research or agentic workflow development.
Based in San Francisco (preferred), NYC, or Boston.
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: $165,000 - $190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nABOUT THE ROLE\n\nWe’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.\n\n\n\nIn this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.\n\n\n\n*This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are 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\n\n\n\nWHAT YOU WILL 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 - Translate emerging AI research and tooling into practical, production-ready solutions.\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 open source components, documentation, and shared tools.\n\n\n\n\nWHAT YOU WILL BRING\n\n - Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).\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 \n\n\nNICE TO HAVES\n\n - Expertise with LangChain or LangGraph.\n\n - Experience building or maintaining open source projects.\n\n - Background in applied AI research or agentic workflow development.\n\n - Based in San Francisco (preferred), NYC, or Boston.\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: $165,000 - $190,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"2026-06-12T13:43:31.681+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. 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.
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. 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\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":"2026-06-06T17:20:00.858+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. 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.
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. 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\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":"c4d1c09c-a721-4890-9d28-8dd97d19f52b","title":"Enterprise Account Executive (Nashville)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Nashville, TN","secondaryLocations":[],"publishedAt":"2026-06-12T13:43:59.069+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c4d1c09c-a721-4890-9d28-8dd97d19f52b","applyUrl":"https://jobs.ashbyhq.com/langchain/c4d1c09c-a721-4890-9d28-8dd97d19f52b/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:
Nashville
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 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. 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.
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\n\n\nLocation:\n\n - Nashville\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 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. 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\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":"7b4aad6c-db46-489d-8426-72217e2923f2","title":"Senior Fullstack Engineer, Growth & Monetization","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":"2025-10-23T20:55:41.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7b4aad6c-db46-489d-8426-72217e2923f2","applyUrl":"https://jobs.ashbyhq.com/langchain/7b4aad6c-db46-489d-8426-72217e2923f2/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, San Francisco, or Boston.
What you'll do
Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
Build flexible experimentation systems and processes capable of targeting diverse growth metrics
Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
Design and ship new onboarding features and improvements that accelerate time to value
Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs
Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities
What you'll bring
Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
Strong product intuition and a track record of working on monetization, pricing, or activation features
Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
Self-directed with an ownership mindset
Bonus: Experience building for developers or product-led growth platforms
Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
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. 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.
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, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - 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. 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\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":"8f50c37d-61ca-4127-8605-bff4f6811d79","title":"Product Marketing - LangSmith Fleet","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-16T23:20:09.859+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8f50c37d-61ca-4127-8605-bff4f6811d79","applyUrl":"https://jobs.ashbyhq.com/langchain/8f50c37d-61ca-4127-8605-bff4f6811d79/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 Marketing Manager to help drive go-to-market for LangSmith Fleet, our product for bringing agents to every team in an organization.
Fleet enables anyone to build, use, and manage agents with natural language — while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity.
This role will help shape how we take Fleet to market across both sales-led and product-led growth motions. You’ll work on positioning and messaging, product launches, content, enablement, campaigns, customer storytelling, and cross-functional programs in partnership with product, sales, education, and marketing.
The audience is broad and nuanced: technical buyers who care about security, observability, integrations, APIs, and governance; technical champions who want to extend and operationalize agents; and nontechnical users who need to understand what agents can do for their day-to-day work. You’ll help translate a rapidly evolving product into clear stories, content, and programs that drive awareness, adoption, and revenue.
Help launch new Fleet capabilities in a fast-moving market. You’ll partner with product and gtm to bring new features and use cases to market.
Develop positioning and messaging for Fleet. You’ll help define how Fleet shows up across the website, sales materials, launch assets, campaigns, product pages, and customer-facing content.
Create content that helps different audiences understand and adopt Fleet. This may include launch blogs, solution briefs, use case pages, customer stories, comparison pages, demo narratives, sales decks, guides, and campaign assets.
Build enablement for a sales-led motion. You’ll help equip sales and customer-facing teams with talk tracks, objection handling, discovery questions, demo narratives, competitive context, and materials that help them speak to technical buyers and business stakeholders.
Support PLG and adoption programs. Fleet is also a product businesses and users can try, build with, and adopt directly. You’ll help create onboarding, activation, lifecycle, and educational content that helps users understand what to build and how to get value.
Partner with demand generation on campaigns. You’ll help turn product narratives, use cases, launches, and customer insights into campaigns that drive pipeline and product adoption.
Stay close to customers and the market. You’ll synthesize customer conversations, sales feedback, product usage signals, competitive activity, and market trends into insights that improve our messaging, roadmap inputs, and GTM strategy.
Help define how Fleet fits into the broader LangSmith platform. You’ll connect the Fleet story to Observability, Evaluation, Deployment, Sandboxes, LangGraph, and the broader LangChain ecosystem.
You have 2–4+ years of product marketing, developer marketing, or solutions marketing experience.
You’ve worked on technical products, developer tools, AI/ML products, B2B SaaS, infrastructure, automation, or platform products.
You can translate technical concepts into clear, customer-facing messaging. You don’t need to be an engineer, but you should be comfortable learning technical products and asking good questions.
You’re excited by a product that serves multiple audiences: developers, technical buyers, operators, admins, and nontechnical end users.
You understand how sales-led and product-led motions can work together. You can create materials that help sales teams win while also helping self-serve users understand and adopt the product.
You write clearly and quickly. You can turn a product capability, customer problem, or technical workflow into a compelling piece of content or enablement.
You like working cross-functionally. You’ll partner closely with product, sales, demand gen, devrel, education, customer-facing teams, and the broader marketing team.
You’re comfortable with ambiguity and iteration. Fleet is evolving quickly, and the market for workplace agents is still being defined. You’re excited to ship, learn, and improve.
You have genuine curiosity about agents and how they will change how teams work.
You use AI tools in your own work and are interested in finding new ways to increase your effectiveness with them.
Experience marketing developer tools, AI products, automation products, productivity tools, or enterprise SaaS platforms.
Familiarity with the LLM, agent, or AI application development ecosystem.
Experience supporting both technical buyers and business/end-user audiences.
Experience partnering with sales on enterprise deals, including enablement, customer-facing storytelling, competitive support, or account-based campaigns.
Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.
You’ll help define a new category. Fleet is bringing agents from developer experiments into everyday work across companies.
You’ll work on a product with both end-user pull and enterprise depth. Fleet is easy to try, but also deeply connected to LangSmith’s security, observability, evaluation, deployment, and API capabilities.
Your work will directly shape how the market understands Fleet. This is a high-impact product area with room to influence messaging, launches, content, campaigns, and GTM strategy.
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.
Agents are where software is heading. LangChain is at the center of that shift, and you’ll help tell the story of how agents move from prototypes to real usage across companies.
Compensation $125,000 to $165,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Product Marketing Manager to help drive go-to-market for LangSmith Fleet, our product for bringing agents to every team in an organization.\n\nFleet enables anyone to build, use, and manage agents with natural language — while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity.\n\nThis role will help shape how we take Fleet to market across both sales-led and product-led growth motions. You’ll work on positioning and messaging, product launches, content, enablement, campaigns, customer storytelling, and cross-functional programs in partnership with product, sales, education, and marketing.\n\nThe audience is broad and nuanced: technical buyers who care about security, observability, integrations, APIs, and governance; technical champions who want to extend and operationalize agents; and nontechnical users who need to understand what agents can do for their day-to-day work. You’ll help translate a rapidly evolving product into clear stories, content, and programs that drive awareness, adoption, and revenue.\n\n\n\n\nWHAT YOU’LL DO\n\n - Help launch new Fleet capabilities in a fast-moving market. You’ll partner with product and gtm to bring new features and use cases to market.\n\n - Develop positioning and messaging for Fleet. You’ll help define how Fleet shows up across the website, sales materials, launch assets, campaigns, product pages, and customer-facing content.\n\n - Create content that helps different audiences understand and adopt Fleet. This may include launch blogs, solution briefs, use case pages, customer stories, comparison pages, demo narratives, sales decks, guides, and campaign assets.\n\n - Build enablement for a sales-led motion. You’ll help equip sales and customer-facing teams with talk tracks, objection handling, discovery questions, demo narratives, competitive context, and materials that help them speak to technical buyers and business stakeholders.\n\n - Support PLG and adoption programs. Fleet is also a product businesses and users can try, build with, and adopt directly. You’ll help create onboarding, activation, lifecycle, and educational content that helps users understand what to build and how to get value.\n\n - Partner with demand generation on campaigns. You’ll help turn product narratives, use cases, launches, and customer insights into campaigns that drive pipeline and product adoption.\n\n - Stay close to customers and the market. You’ll synthesize customer conversations, sales feedback, product usage signals, competitive activity, and market trends into insights that improve our messaging, roadmap inputs, and GTM strategy.\n\n - Help define how Fleet fits into the broader LangSmith platform. You’ll connect the Fleet story to Observability, Evaluation, Deployment, Sandboxes, LangGraph, and the broader LangChain ecosystem.\n\n\nWHAT YOU’LL BRING\n\n - You have 2–4+ years of product marketing, developer marketing, or solutions marketing experience.\n\n - You’ve worked on technical products, developer tools, AI/ML products, B2B SaaS, infrastructure, automation, or platform products.\n\n - You can translate technical concepts into clear, customer-facing messaging. You don’t need to be an engineer, but you should be comfortable learning technical products and asking good questions.\n\n - You’re excited by a product that serves multiple audiences: developers, technical buyers, operators, admins, and nontechnical end users.\n\n - You understand how sales-led and product-led motions can work together. You can create materials that help sales teams win while also helping self-serve users understand and adopt the product.\n\n - You write clearly and quickly. You can turn a product capability, customer problem, or technical workflow into a compelling piece of content or enablement.\n\n - You like working cross-functionally. You’ll partner closely with product, sales, demand gen, devrel, education, customer-facing teams, and the broader marketing team.\n\n - You’re comfortable with ambiguity and iteration. Fleet is evolving quickly, and the market for workplace agents is still being defined. You’re excited to ship, learn, and improve.\n\n - You have genuine curiosity about agents and how they will change how teams work.\n\n - You use AI tools in your own work and are interested in finding new ways to increase your effectiveness with them.\n\n\nNICE TO HAVE\n\n - Experience marketing developer tools, AI products, automation products, productivity tools, or enterprise SaaS platforms.\n\n - Familiarity with the LLM, agent, or AI application development ecosystem.\n\n - Experience supporting both technical buyers and business/end-user audiences.\n\n - Experience partnering with sales on enterprise deals, including enablement, customer-facing storytelling, competitive support, or account-based campaigns.\n\n - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.\n\n\nWHY JOIN\n\n - You’ll help define a new category. Fleet is bringing agents from developer experiments into everyday work across companies.\n\n - You’ll work on a product with both end-user pull and enterprise depth. Fleet is easy to try, but also deeply connected to LangSmith’s security, observability, evaluation, deployment, and API capabilities.\n\n - Your work will directly shape how the market understands Fleet. This is a high-impact product area with room to influence messaging, launches, content, campaigns, and GTM strategy.\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 - Agents are where software is heading. LangChain is at the center of that shift, and you’ll help tell the story of how agents move from prototypes to real usage across companies.\n\nCompensation $125,000 to $165,000 + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"671f9372-8646-4f6a-a473-61bfa7cafa4b","title":"Deployed Engineer (Amsterdam)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-03-04T02:00:09.912+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","streetAddress":"Keizersgracht 555","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/671f9372-8646-4f6a-a473-61bfa7cafa4b","applyUrl":"https://jobs.ashbyhq.com/langchain/671f9372-8646-4f6a-a473-61bfa7cafa4b/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. 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.
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 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\n\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\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\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\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}}],"publishedAt":"2025-11-24T19:55:46.884+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/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-$215,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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-$215,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"ba447a0b-2f52-484e-b3f6-b15c6445bdf9","title":"Deployed Engineer (South EMEA)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-07T20:05:18.801+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/ba447a0b-2f52-484e-b3f6-b15c6445bdf9","applyUrl":"https://jobs.ashbyhq.com/langchain/ba447a0b-2f52-484e-b3f6-b15c6445bdf9/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
Native French Speaker
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. 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.
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 - Native French Speaker\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. 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\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":"Solutions Architect (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-14T20:39:50.776+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 Solutions 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
Location: San Francisco
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\nLocation: San Francisco\n\nCompensation\n\n$170K to $190K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"cb61f821-d8c4-4ec5-940d-3fd83be63a5f","title":"Senior Backend Engineer, LangSmith Deployments","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":"2026-02-25T02:21:33.130+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/cb61f821-d8c4-4ec5-940d-3fd83be63a5f","applyUrl":"https://jobs.ashbyhq.com/langchain/cb61f821-d8c4-4ec5-940d-3fd83be63a5f/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 Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production.
We're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments.
We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.
Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure
Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution
Collaborate on architectural decisions, ensuring solutions are scalable and robust.
Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state
Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy
Participate in on-call rotations and own incident response for the runtime
Create and maintain technical documentation, including system design and operational runbooks.
Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications
4+ years of professional backend engineering experience
Strong proficiency in Go and/or python
Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration
Experience with scaling and sharding databases in high throughput environments
Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform
Strong communication skills and ability to work cross-functionally on a small team
Annual salary range: $175,000-$240,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production.\n\n\n\n\nABOUT THE ROLE\n\nWe're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments.\n\n\n\n\nWHAT YOU'LL DO\n\nWe're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.\n\n - Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure\n\n - Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution\n\n - Collaborate on architectural decisions, ensuring solutions are scalable and robust.\n\n - Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state\n\n - Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy\n\n - Participate in on-call rotations and own incident response for the runtime\n\n - Create and maintain technical documentation, including system design and operational runbooks.\n\n - Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications\n \n \n\n\nWHAT YOU'LL BRING\n\n - 4+ years of professional backend engineering experience\n\n - Strong proficiency in Go and/or python\n\n - Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration\n\n - Experience with scaling and sharding databases in high throughput environments\n\n - Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform\n\n - Strong communication skills and ability to work cross-functionally on a small team\n \n \n\n - Annual salary range: $175,000-$240,00 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"c9c70de7-c162-46c5-a784-e5a45ff24061","title":"Director, Deployed Engineering - Central","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"Minneapolis, MN","address":{"postalAddress":{"addressRegion":"Minnesota ","addressCountry":"United States","addressLocality":"Minneapolis"}}},{"location":"Dallas, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}}}],"publishedAt":"2026-07-09T20:09:48.286+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c9c70de7-c162-46c5-a784-e5a45ff24061","applyUrl":"https://jobs.ashbyhq.com/langchain/c9c70de7-c162-46c5-a784-e5a45ff24061/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.
We’re looking for a leader to build and scale our Deployed Engineering organization across the Central US region.
As our Director, Deployed Engineering - Central, you will build and lead the team of deployed engineers working across the region.
You will build and lead a team of deployed engineers who establish LangChain’s technical and strategic credibility with our most important customers.
You will report to the Global Head of Deployed Engineering, and operate as a peer to the regional sales leader, with shared ownership of outcomes.
This role is equal parts organizational leadership, customer engagement, and revenue accountability. You will define how deployed engineering operates in our East region, build a high-performing regional team, and ensure tight alignment between technical excellence and commercial success.
As a member of the global deployed engineering leadership team, you will also be a core contributor to shared strategy, helping define the playbooks, processes, and standards used across regions.
Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly.
Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region.
Partner with LangChain’s regional sales leader, with shared accountability for revenue outcomes and customer success.
Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design.
Differentiate LangChain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production.
Set and uphold the technical bar for deployed engineering, staying close to the product and modeling what excellent customer-facing engineering looks like.
Co-create global playbooks and operating practices, contributing regional insights while maintaining strong global consistency.
Develop future leaders, building a strong bench of deployed engineers and managers.
10 years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company.
Proven experience leading and scaling technical GTM teams.
Deep technical expertise — you’re not a stranger to Python, and are well-versed in software engineering, platform engineering, and solutions architecture disciplines.
Experience working with or selling to developers and engineering-led buyers.
Strong track record of leading complex enterprise technical engagements and building trust with senior stakeholders.
Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts and influence executive audiences.
A bias for action, comfort with ambiguity, and a consistently high bar for excellence.
Familiarity with genAI, agents, observability, or open source software
Experience as an early member of a startup GTM organization
Annual OTE range: $270k - $340k
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nWe’re looking for a leader to build and scale our Deployed Engineering organization across the Central US region.\n\n\n\n\nABOUT THE ROLE\n\nAs our Director, Deployed Engineering - Central, you will build and lead the team of deployed engineers working across the region.\n\nYou will build and lead a team of deployed engineers who establish LangChain’s technical and strategic credibility with our most important customers.\n\nYou will report to the Global Head of Deployed Engineering, and operate as a peer to the regional sales leader, with shared ownership of outcomes.\n\nThis role is equal parts organizational leadership, customer engagement, and revenue accountability. You will define how deployed engineering operates in our East region, build a high-performing regional team, and ensure tight alignment between technical excellence and commercial success.\n\nAs a member of the global deployed engineering leadership team, you will also be a core contributor to shared strategy, helping define the playbooks, processes, and standards used across regions.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly.\n\n - Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region.\n\n - Partner with LangChain’s regional sales leader, with shared accountability for revenue outcomes and customer success.\n\n - Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design.\n\n - Differentiate LangChain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production.\n\n - Set and uphold the technical bar for deployed engineering, staying close to the product and modeling what excellent customer-facing engineering looks like.\n\n - Co-create global playbooks and operating practices, contributing regional insights while maintaining strong global consistency.\n\n - Develop future leaders, building a strong bench of deployed engineers and managers.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 10 years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company.\n\n - Proven experience leading and scaling technical GTM teams.\n\n - Deep technical expertise — you’re not a stranger to Python, and are well-versed in software engineering, platform engineering, and solutions architecture disciplines.\n\n - Experience working with or selling to developers and engineering-led buyers.\n\n - Strong track record of leading complex enterprise technical engagements and building trust with senior stakeholders.\n\n - Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts and influence executive audiences.\n\n - A bias for action, comfort with ambiguity, and a consistently high bar for excellence.\n\n\nBONUS IF YOU HAVE\n\n - Familiarity with genAI, agents, observability, or open source software\n\n - Experience as an early member of a startup GTM organization\n\n\nCOMPENSATION\n\nAnnual OTE range: $270k - $340k\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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. 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.
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. 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\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. 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.
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. 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\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":"2026-05-21T19:37:15.876+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: $165,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: $165,000–$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. 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\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":"2026-06-04T22:44:09.137+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: $165,000–$380,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: $165,000–$380,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 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. 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.
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\n\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 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. 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\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","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-24T06:26:11.037+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 & 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: $220,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 & 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: $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. 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\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":"Senior Security Engineer","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":"2026-03-30T16:38:20.807+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 security lead embedded with core product teams to secure agentic workloads end‑to‑end, from SDK through LangSmith/Graph services and customer integrations. You’ll define our security roadmap, land immediate hardening wins, and raise the bar on how AI infra is protected in production. We are looking for engineers who have expertise in cloud/infrastructure security or application security (both is a plus!)
Own product & platform security: Design and drive application/infrastructure security controls across LangSmith, LangGraph, and the LangChain SDK ecosystem (Python/TS/Go).
Secure-by-default authN/Z: Evolve SSO/SAML/OIDC/SCIM, token lifecycles, service‑to‑service auth, and tenant isolation for cloud and self‑hosted customers.
Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly without slowing delivery.
Ship code, reviews, and tooling: Land secure designs, write PRs, perform penetration testing, and introduce lightweight checks (linters, dependency/supply‑chain scanning, SBOM/SLSA provenance) to enable security at scale.
Hardening & operations: Network segmentation/Zero Trust, Kubernetes posture, secrets management, key rotation, least‑privilege IAM, egress controls
5+ years in security engineering with strong software skills (Python or Go; TypeScript a plus).
Depth in cloud/Kubernetes security (e.g., GCP/AWS IAM, workload identity, admission controls, network policies).
Hands‑on AppSec: code review, threat modeling, secure design, secrets & key management, authn/z patterns, multi‑tenant isolation.
Experience building detection & response and running incident management.
Familiarity with supply‑chain security (SBOM, sigstore/cosign, SLSA‑style controls) and dependency risk management.
Clear, pragmatic communication with engineers and customers.
Security for SaaS + self‑hosted offerings, including air‑gapped deployments.
Proficiency with AI tooling to expedite security reviews
Solid understanding of AI itself, including AI threats, adversarial testing
Exposure to SOC 2 / ISO 27001 programs and evidence automation.
Experience with Go services and Infra as Code (Terraform/Helm), plus policy‑as‑code (OPA/Gatekeeper/Kyverno).
Knowledge of privacy patterns (data minimization, retention, masking, workspace scoping).
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. 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.
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 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\nYou’ll be the hands‑on security lead embedded with core product teams to secure agentic workloads end‑to‑end, from SDK through LangSmith/Graph services and customer integrations. You’ll define our security roadmap, land immediate hardening wins, and raise the bar on how AI infra is protected in production. We are looking for engineers who have expertise in cloud/infrastructure security or application security (both is a plus!)\n\n\n\n\nWHAT YOU'LL DO\n\n - Own product & platform security: Design and drive application/infrastructure security controls across LangSmith, LangGraph, and the LangChain SDK ecosystem (Python/TS/Go).\n\n - Secure-by-default authN/Z: Evolve SSO/SAML/OIDC/SCIM, token lifecycles, service‑to‑service auth, and tenant isolation for cloud and self‑hosted customers.\n\n - Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly without slowing delivery.\n\n - Ship code, reviews, and tooling: Land secure designs, write PRs, perform penetration testing, and introduce lightweight checks (linters, dependency/supply‑chain scanning, SBOM/SLSA provenance) to enable security at scale.\n\n - Hardening & operations: Network segmentation/Zero Trust, Kubernetes posture, secrets management, key rotation, least‑privilege IAM, egress controls\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years in security engineering with strong software skills (Python or Go; TypeScript a plus).\n\n - Depth in cloud/Kubernetes security (e.g., GCP/AWS IAM, workload identity, admission controls, network policies).\n\n - Hands‑on AppSec: code review, threat modeling, secure design, secrets & key management, authn/z patterns, multi‑tenant isolation.\n\n - Experience building detection & response and running incident management.\n\n - Familiarity with supply‑chain security (SBOM, sigstore/cosign, SLSA‑style controls) and dependency risk management.\n\n - Clear, pragmatic communication with engineers and customers.\n \n \n\n\nNICE TO HAVE\n\n - Security for SaaS + self‑hosted offerings, including air‑gapped deployments.\n\n - Proficiency with AI tooling to expedite security reviews\n\n - Solid understanding of AI itself, including AI threats, adversarial testing\n\n - Exposure to SOC 2 / ISO 27001 programs and evidence automation.\n\n - Experience with Go services and Infra as Code (Terraform/Helm), plus policy‑as‑code (OPA/Gatekeeper/Kyverno).\n\n - Knowledge of privacy patterns (data minimization, retention, masking, workspace scoping).\n \n \n\n - Annual 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. 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\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":"925d5539-ea78-4d33-87e0-4b5f2d7f15e6","title":"Enterprise Account Executive (Minneapolis)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Minneapolis, MN","secondaryLocations":[],"publishedAt":"2026-05-28T22:55:54.864+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Minnesota ","addressCountry":"United States","addressLocality":"Minneapolis"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/925d5539-ea78-4d33-87e0-4b5f2d7f15e6","applyUrl":"https://jobs.ashbyhq.com/langchain/925d5539-ea78-4d33-87e0-4b5f2d7f15e6/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.
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 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. 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.
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 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:\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. 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\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":"33f6d721-f75f-4fcc-8df9-e2a13c018e1c","title":"Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-06T18:43:50.085+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/33f6d721-f75f-4fcc-8df9-e2a13c018e1c","applyUrl":"https://jobs.ashbyhq.com/langchain/33f6d721-f75f-4fcc-8df9-e2a13c018e1c/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: $200,000- $250,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\n - Annual salary range: $200,000- $250,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"2026-03-18T23:41:20.562+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. 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.
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. 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\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":"Customer Engineering","team":"Customer 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. 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.
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. 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\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":"2026-06-30T21:03:36.482+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.
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
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. 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.
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\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. 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\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 (Germany)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Europe","secondaryLocations":[],"publishedAt":"2026-04-14T20:31:42.851+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"United Kingdom","addressCountry":"United Kingdom","addressLocality":"London"}},"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
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. 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.
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\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. 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\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":"dddb3751-8ecc-4bea-951c-09826dcc4d88","title":"Enterprise Account Executive (Australia)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Remote - Australia","secondaryLocations":[],"publishedAt":"2026-04-14T20:28:54.389+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Australia"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/dddb3751-8ecc-4bea-951c-09826dcc4d88","applyUrl":"https://jobs.ashbyhq.com/langchain/dddb3751-8ecc-4bea-951c-09826dcc4d88/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. 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.
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\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. 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\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":"dea6e10a-5cc8-4956-85b4-1ca88b8c0a95","title":"Deployed Engineer (Las Vegas)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Las Vegas, NV","secondaryLocations":[],"publishedAt":"2026-04-21T00:12:25.661+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/dea6e10a-5cc8-4956-85b4-1ca88b8c0a95","applyUrl":"https://jobs.ashbyhq.com/langchain/dea6e10a-5cc8-4956-85b4-1ca88b8c0a95/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
This role requires up to 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: $155,000–$360,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\n\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\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 up to 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: $155,000–$360,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-26T16:25:32.496+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 LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
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 will 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 & Benefits
Compensation: 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.
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. 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.
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 provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.\n\nOur open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.\n\nLangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.\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\nWhat you will 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\nCompensation & Benefits\n\n - Compensation: 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.\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. 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\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":"3efc7bc8-657c-4986-b39b-ce30e5d6cb17","title":"Sales Development Representative ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-12T14:56:43.422+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/3efc7bc8-657c-4986-b39b-ce30e5d6cb17","applyUrl":"https://jobs.ashbyhq.com/langchain/3efc7bc8-657c-4986-b39b-ce30e5d6cb17/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 provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
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 will 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 & Benefits
Compensation: 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.
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. 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.
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 provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.\n\nOur open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.\n\nLangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.\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\nWhat you will 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\nCompensation & Benefits\n\n - Compensation: 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.\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. 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\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":"3f793a73-9b0d-456b-9a7c-16441e3e6e69","title":"Deployed Engineer (Denver)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Denver, CO","secondaryLocations":[],"publishedAt":"2026-04-21T00:12:29.383+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3f793a73-9b0d-456b-9a7c-16441e3e6e69","applyUrl":"https://jobs.ashbyhq.com/langchain/3f793a73-9b0d-456b-9a7c-16441e3e6e69/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
This role requires up to 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: $155,000–$360,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\n\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\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 up to 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: $155,000–$360,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"2026-04-14T20:34:13.453+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
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. 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.
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. 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\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":"2026-03-03T22:44:05.515+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. 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.
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. 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\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":"Solutions Architect (Amsterdam)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-04-14T20:40:09.527+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 Solutions 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
Based on location and experience
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. 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.
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 Solutions 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 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\nBased on location and experience\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. 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\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":"2026-06-04T22:44:34.916+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: $165,000–$380,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: $165,000–$380,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Solutions Architect (London)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-04-14T20:40:14.077+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 Solutions 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
Based on experience and location
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. 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.
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 Solutions 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 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\nBased on experience and location\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. 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\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":"2026-04-14T20:48:24.978+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. 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.
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. 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\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":"Solutions Architect (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-04-14T20:40:00.687+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 Solutions 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
Location: New York City
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\nLocation: New York City\n\nCompensation\n\n$170K to $190K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Solutions Architect (Austin)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Austin, TX","secondaryLocations":[],"publishedAt":"2026-04-14T20:39:57.276+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 Solutions 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
Location: Austin, Texas
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\nLocation: Austin, Texas\n\nCompensation\n\n$170K to $190K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Solutions Architect (Dallas)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-04-14T20:39:54.366+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 Solutions 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
Location: Dallas, TX
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\nLocation: Dallas, TX\n\nCompensation\n\n$170K to $190K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"fc61254d-2dd2-4b92-b01a-162e805b921c","title":"Product Marketing - Observability","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-17T01:59:13.478+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/fc61254d-2dd2-4b92-b01a-162e805b921c","applyUrl":"https://jobs.ashbyhq.com/langchain/fc61254d-2dd2-4b92-b01a-162e805b921c/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 PMM to own go-to-market for two of our core products: LangSmith Observability and Evaluation. LangSmith Observability gives engineering teams full visibility into agent behavior (tracing, production monitoring, automated insights). LangSmith Evaluation gives them the confidence to ship (offline and online evals, human feedback, prompt optimization). You'll own messaging in a market that moves weekly, launch new capabilities for a technical audience, and build the enablement that helps our sales team win.
Lead product launches. AI infrastructure moves fast, and we ship to match. You'll partner with product and GTM to launch new capabilities and products in ways that resonate with technical buyers and stand out in a noisy market.
Own positioning, messaging, and the agent narrative for LangSmith Observability and Evaluation. You'll shape how customers think about LangSmith products and how we show up in the market, from the homepage to sales decks.
Build sales enablement that helps close enterprise deals. Our buyers are senior engineering and AI/ML building agents in production. You'll create the talk tracks, battlecards, and objection handling the sales team needs.
Own competitive positioning across established and emerging AI-native observability tools. You'll stay close to the landscape and define differentiation that holds up to scrutiny.
Partner on pricing and packaging as products evolve, bringing market and customer observations into decisions.
Create content that helps buyers move forward. Customer stories, technical use cases, solution briefs: the materials that help technical champions make the case for LangSmith internally and help enterprise buyers understand our value.
Feed the product roadmap. You'll synthesize customer conversations, win/loss signals, and competitive trends into clear feedback that helps our product teams decide what to build.
You have 5-8+ years product marketing experience.
You've owned positioning and messaging for a technical product or platform end-to-end, not just contributed to it. You've been the person accountable for the narrative, and you can point to results.
You've marketed developer tools, AI/ML infrastructure, or observability/monitoring platforms. You know how technical buyers evaluate software, what moves them to adopt, and what drives expansion.
You're comfortable in a room with senior engineers and VP+ leaders. You can follow a technical conversation about tracing, evaluation workflows, or agent architectures, ask good questions, and turn what you learn into clear messaging.
You like to ship. You'd rather get something strong out the door and iterate than wait for perfect, without losing the bigger narrative.
You write clearly. Your product messaging, solution briefs, and enablement materials are written for the customer.
You have a genuine curiosity about how agents are shaping the future of software. You'll be carrying the narrative for LangSmith's most important products, and that curiosity comes through in the work.
You use AI tools in your own work and you're always looking for new ways to increase your effectiveness with them.
You know how to tell customer stories that clearly make the case for the products you own.
Familiarity with the LLM/agent developer ecosystem. You've used or marketed tracing platforms, eval frameworks, or similar AI infrastructure.
Experience with both product-led and sales-led GTM motions.
Experience partnering with sales on enterprise deals, including enablement, competitive support, and customer-facing storytelling.
Exposure to the open-source developer community and how community adoption can work as a GTM advantage.
Your work will directly impact the business. LangSmith Observability and Evaluation drive LangChain's revenue. This is a small product portfolio where what you do is visible and measurable.
Agents are where software is heading. LangChain is at the center of that, and you'll shape how the story gets told to the teams building them.
Real scope on a growing team. You're joining a small team that's scaling fast. You'll help build the playbook.
A team that ships. We move fast, we hold a high bar, and we don't wait for layers of approval.
Location: San Francisco, CA (strong preference)
Annual salary: $210,000 – $235,000 + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 PMM to own go-to-market for two of our core products: LangSmith Observability and Evaluation. LangSmith Observability gives engineering teams full visibility into agent behavior (tracing, production monitoring, automated insights). LangSmith Evaluation gives them the confidence to ship (offline and online evals, human feedback, prompt optimization). You'll own messaging in a market that moves weekly, launch new capabilities for a technical audience, and build the enablement that helps our sales team win.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Lead product launches. AI infrastructure moves fast, and we ship to match. You'll partner with product and GTM to launch new capabilities and products in ways that resonate with technical buyers and stand out in a noisy market.\n\n - Own positioning, messaging, and the agent narrative for LangSmith Observability and Evaluation. You'll shape how customers think about LangSmith products and how we show up in the market, from the homepage to sales decks.\n\n - Build sales enablement that helps close enterprise deals. Our buyers are senior engineering and AI/ML building agents in production. You'll create the talk tracks, battlecards, and objection handling the sales team needs.\n\n - Own competitive positioning across established and emerging AI-native observability tools. You'll stay close to the landscape and define differentiation that holds up to scrutiny.\n\n - Partner on pricing and packaging as products evolve, bringing market and customer observations into decisions.\n\n - Create content that helps buyers move forward. Customer stories, technical use cases, solution briefs: the materials that help technical champions make the case for LangSmith internally and help enterprise buyers understand our value.\n\n - Feed the product roadmap. You'll synthesize customer conversations, win/loss signals, and competitive trends into clear feedback that helps our product teams decide what to build.\n\n\nWHAT YOU’LL BRING:\n\n - You have 5-8+ years product marketing experience.\n\n - You've owned positioning and messaging for a technical product or platform end-to-end, not just contributed to it. You've been the person accountable for the narrative, and you can point to results.\n\n - You've marketed developer tools, AI/ML infrastructure, or observability/monitoring platforms. You know how technical buyers evaluate software, what moves them to adopt, and what drives expansion.\n\n - You're comfortable in a room with senior engineers and VP+ leaders. You can follow a technical conversation about tracing, evaluation workflows, or agent architectures, ask good questions, and turn what you learn into clear messaging.\n\n - You like to ship. You'd rather get something strong out the door and iterate than wait for perfect, without losing the bigger narrative.\n\n - You write clearly. Your product messaging, solution briefs, and enablement materials are written for the customer.\n\n - You have a genuine curiosity about how agents are shaping the future of software. You'll be carrying the narrative for LangSmith's most important products, and that curiosity comes through in the work.\n\n - You use AI tools in your own work and you're always looking for new ways to increase your effectiveness with them.\n\n - You know how to tell customer stories that clearly make the case for the products you own.\n\n\nNICE TO HAVE:\n\n - Familiarity with the LLM/agent developer ecosystem. You've used or marketed tracing platforms, eval frameworks, or similar AI infrastructure.\n\n - Experience with both product-led and sales-led GTM motions.\n\n - Experience partnering with sales on enterprise deals, including enablement, competitive support, and customer-facing storytelling.\n\n - Exposure to the open-source developer community and how community adoption can work as a GTM advantage.\n\n\nWHY JOIN:\n\n - Your work will directly impact the business. LangSmith Observability and Evaluation drive LangChain's revenue. This is a small product portfolio where what you do is visible and measurable.\n\n - Agents are where software is heading. LangChain is at the center of that, and you'll shape how the story gets told to the teams building them.\n\n - Real scope on a growing team. You're joining a small team that's scaling fast. You'll help build the playbook.\n\n - A team that ships. We move fast, we hold a high bar, and we don't wait for layers of approval.\n\n\nCOMPENSATION\n\n - Location: San Francisco, CA (strong preference)\n\n - Annual salary: $210,000 – $235,000 + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"e2c464af-1d39-4d72-a5fd-9f2d834c1f80","title":"GTM Strategic Initiatives Lead","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-09T17:04:24.327+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e2c464af-1d39-4d72-a5fd-9f2d834c1f80","applyUrl":"https://jobs.ashbyhq.com/langchain/e2c464af-1d39-4d72-a5fd-9f2d834c1f80/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 GTM Strategic Initiatives Lead designs and runs the operating system that helps Sales execute consistently and scale efficiently. With Sales as the primary “end customer,” this role turns GTM strategy into durable initiatives, enablement, process, and tooling that improve rep productivity, pipeline conversion, forecasting accuracy, and retention/expansion outcomes.
This role serves as the cross-functional program owner across Sales, RevOps, Marketing, Finance, Product, and Engineering—building repeatable motions (e.g., new product launches, packaging/pricing rollouts, territory and coverage changes) and the change-management backbone that makes them land in the field. Success looks like: clear decisions, tight execution, measurable adoption, and sustained performance improvements.
Own the end-to-end program lifecycle for strategic GTM initiatives: define the problem, align stakeholders, build the plan, run execution, measure impact, and operationalize what works.
Translate leadership priorities (e.g., new segments, new products, new channels, pricing/packaging changes) into sequenced program roadmaps with milestones, owners, risks, and decision points.
Establish a standardized launch framework for Sales-facing initiatives (readiness, enablement, comms, instrumentation, and post-launch review).
Build and maintain a cross-functional operating cadence that keeps the field aligned: GTM planning rituals, initiative reviews, launch readiness checkpoints, and decision-making forums.
Partner with Sales Enablement and frontline leaders to convert strategy into field-ready artifacts: plays, talk tracks, qualification and discovery frameworks, battlecards, objection handling, and deal desk workflows.
Create adoption loops: define what “good” looks like, monitor usage, capture feedback from the field, and iterate quickly.
Translate GTM strategy into clear “plays” and execution plans that span product, marketing, and sales—connecting positioning, packaging/pricing, and routes-to-market into one coherent motion.
Partner with Product, Marketing, and Customer Success to ensure launches are field-ready: messaging, enablement, asset readiness, rollout sequencing, and support coverage.
Build closed-loop feedback mechanisms from the field and customers back into roadmap and go-to-market iteration (win/loss insights, qualitative field feedback, adoption signals).
Create measurement frameworks for GTM initiatives: adoption metrics, leading indicators, and business outcomes (pipeline, conversion, ACV, retention, time-to-first-value, rep ramp, cycle time).
Run post-launch performance reviews and recommend improvements (positioning tweaks, enablement refreshes, sequencing adjustments, or cross-functional resourcing changes).
Build early-warning dashboards to detect breakdowns in execution (e.g., low play adoption, weak signal coverage, inconsistent messaging, stalled rollouts).
Drive alignment across Sales, Marketing, Finance, Product, and Engineering on initiative scope, trade-offs, and sequencing—ensuring the field gets one coherent message and one clear motion.
Own change management for Sales-facing shifts (process, product, pricing/packaging): comms plan, training plan, support model, and escalation paths.
Act as the connective tissue between frontline feedback and roadmap/process iteration—closing the loop so programs get better over time.
A repeatable GTM program framework is in place, with consistent launch quality and clear ownership.
The field has clearer plays and more predictable launch experiences (fewer “surprise” changes; higher readiness and adoption).
Measurable improvements in adoption and productivity (rep ramp, pipeline quality, cycle time, forecast accuracy).
Strong cross-functional execution cadence, with fewer “surprise” launches and more predictable field outcomes.
Experience: 7+ years leading cross-functional GTM programs in Revenue Operations, Sales Operations, Program Management, or Management Consulting (GTM-focused).
Sales-first mindset: Strong empathy for the field; proven ability to translate Sales pain points into scalable solutions and sustained behavior change.
Program leadership: Demonstrated track record delivering complex initiatives across multiple teams, with crisp planning, stakeholder management, and accountability.
Systems & data fluency: Comfort partnering with technical teams on CRM/CPQ and data integrations; ability to reason about end-to-end commercial data flows.
Analytical rigor: Ability to define success metrics, build instrumentation, and communicate impact clearly to leadership.
Influence & communication: Exceptional written/verbal communication and the ability to align senior stakeholders without direct authority.
Base Salary: $165,000-200,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nPOSITION OVERVIEW\n\nThe GTM Strategic Initiatives Lead designs and runs the operating system that helps Sales execute consistently and scale efficiently. With Sales as the primary “end customer,” this role turns GTM strategy into durable initiatives, enablement, process, and tooling that improve rep productivity, pipeline conversion, forecasting accuracy, and retention/expansion outcomes.\n\nThis role serves as the cross-functional program owner across Sales, RevOps, Marketing, Finance, Product, and Engineering—building repeatable motions (e.g., new product launches, packaging/pricing rollouts, territory and coverage changes) and the change-management backbone that makes them land in the field. Success looks like: clear decisions, tight execution, measurable adoption, and sustained performance improvements.\n\n\n\n\nCORE PILLARS OF RESPONSIBILITY\n\n\n1) GTM PROGRAM MANAGEMENT (END-TO-END OWNERSHIP)\n\n - Own the end-to-end program lifecycle for strategic GTM initiatives: define the problem, align stakeholders, build the plan, run execution, measure impact, and operationalize what works.\n\n - Translate leadership priorities (e.g., new segments, new products, new channels, pricing/packaging changes) into sequenced program roadmaps with milestones, owners, risks, and decision points.\n\n - Establish a standardized launch framework for Sales-facing initiatives (readiness, enablement, comms, instrumentation, and post-launch review).\n\n\n2) SALES-FIRST OPERATING RHYTHM & FIELD ENABLEMENT\n\n - Build and maintain a cross-functional operating cadence that keeps the field aligned: GTM planning rituals, initiative reviews, launch readiness checkpoints, and decision-making forums.\n\n - Partner with Sales Enablement and frontline leaders to convert strategy into field-ready artifacts: plays, talk tracks, qualification and discovery frameworks, battlecards, objection handling, and deal desk workflows.\n\n - Create adoption loops: define what “good” looks like, monitor usage, capture feedback from the field, and iterate quickly.\n\n\n3) GTM STRATEGY EXECUTION, LAUNCH READINESS, AND FEEDBACK LOOPS\n\n - Translate GTM strategy into clear “plays” and execution plans that span product, marketing, and sales—connecting positioning, packaging/pricing, and routes-to-market into one coherent motion.\n\n - Partner with Product, Marketing, and Customer Success to ensure launches are field-ready: messaging, enablement, asset readiness, rollout sequencing, and support coverage.\n\n - Build closed-loop feedback mechanisms from the field and customers back into roadmap and go-to-market iteration (win/loss insights, qualitative field feedback, adoption signals).\n\n\n4) INITIATIVE IMPACT MEASUREMENT\n\n - Create measurement frameworks for GTM initiatives: adoption metrics, leading indicators, and business outcomes (pipeline, conversion, ACV, retention, time-to-first-value, rep ramp, cycle time).\n\n - Run post-launch performance reviews and recommend improvements (positioning tweaks, enablement refreshes, sequencing adjustments, or cross-functional resourcing changes).\n\n - Build early-warning dashboards to detect breakdowns in execution (e.g., low play adoption, weak signal coverage, inconsistent messaging, stalled rollouts).\n\n\n5) CROSS-FUNCTIONAL ALIGNMENT & CHANGE MANAGEMENT\n\n - Drive alignment across Sales, Marketing, Finance, Product, and Engineering on initiative scope, trade-offs, and sequencing—ensuring the field gets one coherent message and one clear motion.\n\n - Own change management for Sales-facing shifts (process, product, pricing/packaging): comms plan, training plan, support model, and escalation paths.\n\n - Act as the connective tissue between frontline feedback and roadmap/process iteration—closing the loop so programs get better over time.\n\n\nWHAT SUCCESS LOOKS LIKE (FIRST 6–12 MONTHS)\n\n - A repeatable GTM program framework is in place, with consistent launch quality and clear ownership.\n\n - The field has clearer plays and more predictable launch experiences (fewer “surprise” changes; higher readiness and adoption).\n\n - Measurable improvements in adoption and productivity (rep ramp, pipeline quality, cycle time, forecast accuracy).\n\n - Strong cross-functional execution cadence, with fewer “surprise” launches and more predictable field outcomes.\n\n\nQUALIFICATIONS & EXPERIENCE\n\n - Experience: 7+ years leading cross-functional GTM programs in Revenue Operations, Sales Operations, Program Management, or Management Consulting (GTM-focused).\n\n - Sales-first mindset: Strong empathy for the field; proven ability to translate Sales pain points into scalable solutions and sustained behavior change.\n\n - Program leadership: Demonstrated track record delivering complex initiatives across multiple teams, with crisp planning, stakeholder management, and accountability.\n\n - Systems & data fluency: Comfort partnering with technical teams on CRM/CPQ and data integrations; ability to reason about end-to-end commercial data flows.\n\n - Analytical rigor: Ability to define success metrics, build instrumentation, and communicate impact clearly to leadership.\n\n - Influence & communication: Exceptional written/verbal communication and the ability to align senior stakeholders without direct authority.\n\nBase Salary: $165,000-200,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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. 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.
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. 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\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. 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.
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. 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\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":"36bfd743-8e8d-4393-8d47-d69097fb1f51","title":"Engagement Manager (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-14T20:39:33.858+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/36bfd743-8e8d-4393-8d47-d69097fb1f51","applyUrl":"https://jobs.ashbyhq.com/langchain/36bfd743-8e8d-4393-8d47-d69097fb1f51/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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world.
We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes.
This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Location: This role can be based in our San Francisco or New York 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. Open to remote candidates within the US.
Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff
Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes
Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines
Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning
Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards
You have 5+ years of engagement or project management experience, preferably with technical or software engagements
You've managed multiple concurrent engagements and know how to keep quality high across all of them
You have strong experience working with enterprise customers and leading customer-facing communication
You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation
You're experienced with project management tools such as Linear, Jira, Asana, or similar
You've handled scope change management and complex stakeholder dynamics
You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do
You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders
You exemplify our operating principles
You are motivated to build something great: you hold a high bar for quality, craft, and impact
You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate
You operate with maximum agency: you take ownership, move work forward independently, and help others unblock
You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges
PMP or similar project management certification
Experience in Professional Services or consulting
Experience with AI/ML or infrastructure engagements
Experience with time tracking and billing coordination
Knowledge of software development lifecycle and agile methodologies
Compensation
Annual Salary: $170,000-$190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world.\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes.\n\nThis role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\nLocation: This role can be based in our San Francisco or New York 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. Open to remote candidates within the US.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff\n\n - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes\n\n - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines\n\n - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning\n\n - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards\n \n \n\n\nWHAT YOU'LL BRING:\n\n - You have 5+ years of engagement or project management experience, preferably with technical or software engagements\n\n - You've managed multiple concurrent engagements and know how to keep quality high across all of them\n\n - You have strong experience working with enterprise customers and leading customer-facing communication\n\n - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation\n\n - You're experienced with project management tools such as Linear, Jira, Asana, or similar\n\n - You've handled scope change management and complex stakeholder dynamics\n\n - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do\n\n - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders\n\nYou exemplify our operating principles\n\n - You are motivated to build something great: you hold a high bar for quality, craft, and impact\n\n - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate\n\n - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock\n\n - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges\n\n\nNICE TO HAVE:\n\n - PMP or similar project management certification\n\n - Experience in Professional Services or consulting\n\n - Experience with AI/ML or infrastructure engagements\n\n - Experience with time tracking and billing coordination\n\n - Knowledge of software development lifecycle and agile methodologies\n \n \n\nCompensation\nAnnual Salary: $170,000-$190,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"e408177e-54e8-4c08-8a70-d9bbd510b7ec","title":"Commercial Account Manager","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-06-04T22:47:23.947+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/e408177e-54e8-4c08-8a70-d9bbd510b7ec","applyUrl":"https://jobs.ashbyhq.com/langchain/e408177e-54e8-4c08-8a70-d9bbd510b7ec/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 commercial 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: London, UK
Compensation:
Based on experience and location
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 commercial 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: London, UK\n\nCompensation:\n\nBased on experience and location\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Enterprise Account Executive (Federal) ","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. 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.
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. 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\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":"701da8d0-ffa7-4a72-bc29-b1dde4438982","title":"Recruiting Coordinator - Contract","department":"People","team":"People","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-07-02T18:50:52.291+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/701da8d0-ffa7-4a72-bc29-b1dde4438982","applyUrl":"https://jobs.ashbyhq.com/langchain/701da8d0-ffa7-4a72-bc29-b1dde4438982/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 hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience.
Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person)
Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process
Help manage various projects including interview training and pipeline reporting in our ATS (Ashby)
Host candidates onsite for interviews and team meetings
Collaborate with hiring managers and recruiters to build out and update interview plans and other internal documentation
Be a stragic partner with recruiters to continuously improve internal processes and tools.
Support recruiting initiatives including sourcing events, referral drives, and onboarding prep
2+ years of coordination experience within a technology company, ideally supporting recruiting or HR
Strong organization and time management skills: ability to prioritize and execute multiple high-priority tasks simultaneously
Keen attention to detail
Passion for creating exceptional candidate experiences
Startup DNA: experience in a startup or ability to thrive in fast-paced, unstructured environments
Excellent written and verbal communication skills
Proactive problem-solving mindset with a drive for continuous improvement
Experience with modern ATS systems (e.g., Ashby, Greenhouse, Lever)
Familiarity with building recruiting and coordination processes (interview training programs, scheduling best practices, candidate experience design)
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person)\n\n - Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process\n\n - Help manage various projects including interview training and pipeline reporting in our ATS (Ashby)\n\n - Host candidates onsite for interviews and team meetings\n\n - Collaborate with hiring managers and recruiters to build out and update interview plans and other internal documentation\n\n - Be a stragic partner with recruiters to continuously improve internal processes and tools.\n\n - Support recruiting initiatives including sourcing events, referral drives, and onboarding prep\n\n\nWHAT WE’RE LOOKING FOR:\n\n - 2+ years of coordination experience within a technology company, ideally supporting recruiting or HR\n\n - Strong organization and time management skills: ability to prioritize and execute multiple high-priority tasks simultaneously\n\n - Keen attention to detail\n\n - Passion for creating exceptional candidate experiences\n\n - Startup DNA: experience in a startup or ability to thrive in fast-paced, unstructured environments\n\n - Excellent written and verbal communication skills\n\n - Proactive problem-solving mindset with a drive for continuous improvement\n\n\nBONUS IF YOU HAVE:\n\n - Experience with modern ATS systems (e.g., Ashby, Greenhouse, Lever)\n\n - Familiarity with building recruiting and coordination processes (interview training programs, scheduling best practices, candidate experience design)\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Solutions Architect (Remote)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Remote - Utah","secondaryLocations":[],"publishedAt":"2026-04-21T03:22:49.776+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"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 Solutions 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
Location: Remote
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\nLocation: Remote\n\nCompensation\n\n$170K to $190K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"9c4cc9a5-f8b1-440a-826a-067e432d3e65","title":"Education Marketing Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-20T03:46:46.328+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9c4cc9a5-f8b1-440a-826a-067e432d3e65","applyUrl":"https://jobs.ashbyhq.com/langchain/9c4cc9a5-f8b1-440a-826a-067e432d3e65/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: San Francisco, CA or New York City, NY
LangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain's products. We're looking for an Education Marketing Lead to own the strategy and execution that turns LangChain Academy into a meaningful growth channel for LangChain at large.
This is a high-ownership role sitting at the intersection of education and growth. You'll build the programs, systems, and go-to-market motions that drive Academy enrollment at scale, while shaping the learner experience that keeps developers coming back and advancing through our curriculum. You'll work with the Technical Content Manager and across education engineers, deployed engineers, brand design, lifecycle marketing, and our SEO agency.
LangChain already has strong technical credibility and a developer community that cares deeply about building with our products. Education is one of the highest-leverage ways to deepen that relationship and expand our reach. Your job is to build the marketing engine that makes LangChain Academy a destination for agent engineers.
Marketing Academy
Drive enrollment. Develop and execute promotional campaigns that reach developers where they are, within LangChain docs, on social, through the newsletter, and via community touchpoints, to consistently drive top-of-funnel course enrollment.
Build and scale certification programs. Own the development and launch of LangChain Academy certification offerings, from program design and credentialing mechanics to marketing and positioning that makes them worth earning.
Drive organic discovery through SEO. Partner with our SEO agency to own search strategy for Academy landing pages and educational content. Ensure courses and tutorials are positioned to capture high-intent developer search traffic and continuously improve organic reach over time.
Lead end-to-end course launches. Own the go-to-market process for every LangChain Academy course, from launch planning and cross-functional coordination to promotional execution across docs, socials, the LangChain website, email, and community channels.
Own LangChain Academy's external presence. Manage and continuously improve the Academy landing pages and external-facing site.
Learner Lifecycle & Engagement
Invest in email and nurture flows for enrolled learners. Partnering with lifecycle marketing to build and optimize onboarding sequences, course completion nudges, and flows that keep learners progressing and guide them toward their next course or certification.
Collaborate with the Technical Content Manager on pathways and bundles. Work closely with the Education Manager to develop and market curriculum pathways and course bundles that help learners understand how to progress through the Academy and make it easy to take the next step.
Optimize for enrollment and engagement. Take a growth mindset to the learner funnel. Understand where learners drop off and make data-informed decisions about how to fix issues.
Partnerships & Community
Build educational distribution partnerships. Identify and develop co-marketing and distribution opportunities with learning platforms (LinkedIn Learning, DataCamp, and similar) and AI/ML communities that can expand Academy's reach to the right audiences at scale.
Think systemically about developer onboarding through education. Be the person always asking: how do we use education to get more developers successfully building on LangChain? Bring ideas, run experiments, and build programs that move the needle on product adoption through learning.
Own the YouTube education content calendar. Maintain and drive the content calendar for education-focused YouTube videos and tutorials, working closely with education engineers and deployed engineers to plan, schedule, and promote content consistently.
Measurement & Reporting
Own top-of-funnel enrollment numbers. You're accountable for Academy enrollment as a metric. Always have a point of view on what's driving it, what's holding it back, and what to do next.
Track what matters beyond enrollment. Work with the Technical Content Manager to analyze reporting on learner engagement, course completion rates, drop-off, NPS, and content performance across Academy and YouTube. Use the data to inform what gets made, how it gets promoted, and where the experience needs work.
Systems thinker with a growth mindset. You're organized and process-oriented. You can own a CMS, run a content calendar, and manage a launch, but you're always thinking about what would move the number and how to test it.
Developer empathy. You understand what earns trust with technical audiences. You know the difference between educational content developers find genuinely useful and content that feels like a tutorial-shaped ad.
Strong communicator and writer. You can write crisp promotional copy, a clear course description, and a launch brief, and you have a POV on tone that feels credible and human, not corporate.
Collaborative operator. You're comfortable working across the Technical Content Manager, education engineers, deployed engineers, lifecycle marketing, brand design, and an external SEO agency, synthesizing different inputs into a coherent plan and owning execution.
Technical curiosity. Genuine interest in AI and the developer ecosystem. Familiarity with LangChain products or similar tools is a strong plus. You'll need to understand what we build and who we build it for in order to market it well.
Experience marketing developer education, online courses, or technical content programs
Familiarity with LMS or course CMS platforms (we use Thinkific)
Experience building or launching certification or credentialing programs
Background in developer marketing
Experience with YouTube content strategy and growth for technical audiences
Prior experience working with an SEO agency or owning organic search strategy for a content-heavy site
Salary Range: $160,000 - $210,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: San Francisco, CA or New York City, NY\n\nLangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain's products. We're looking for an Education Marketing Lead to own the strategy and execution that turns LangChain Academy into a meaningful growth channel for LangChain at large.\n\nThis is a high-ownership role sitting at the intersection of education and growth. You'll build the programs, systems, and go-to-market motions that drive Academy enrollment at scale, while shaping the learner experience that keeps developers coming back and advancing through our curriculum. You'll work with the Technical Content Manager and across education engineers, deployed engineers, brand design, lifecycle marketing, and our SEO agency.\n\nLangChain already has strong technical credibility and a developer community that cares deeply about building with our products. Education is one of the highest-leverage ways to deepen that relationship and expand our reach. Your job is to build the marketing engine that makes LangChain Academy a destination for agent engineers.\n\n\n\n\nWHAT YOU'LL DO\n\nMarketing Academy\n\n - Drive enrollment. Develop and execute promotional campaigns that reach developers where they are, within LangChain docs, on social, through the newsletter, and via community touchpoints, to consistently drive top-of-funnel course enrollment.\n\n - Build and scale certification programs. Own the development and launch of LangChain Academy certification offerings, from program design and credentialing mechanics to marketing and positioning that makes them worth earning.\n\n - Drive organic discovery through SEO. Partner with our SEO agency to own search strategy for Academy landing pages and educational content. Ensure courses and tutorials are positioned to capture high-intent developer search traffic and continuously improve organic reach over time.\n\n - Lead end-to-end course launches. Own the go-to-market process for every LangChain Academy course, from launch planning and cross-functional coordination to promotional execution across docs, socials, the LangChain website, email, and community channels.\n\n - Own LangChain Academy's external presence. Manage and continuously improve the Academy landing pages and external-facing site.\n\nLearner Lifecycle & Engagement\n\n - Invest in email and nurture flows for enrolled learners. Partnering with lifecycle marketing to build and optimize onboarding sequences, course completion nudges, and flows that keep learners progressing and guide them toward their next course or certification.\n\n - Collaborate with the Technical Content Manager on pathways and bundles. Work closely with the Education Manager to develop and market curriculum pathways and course bundles that help learners understand how to progress through the Academy and make it easy to take the next step.\n\n - Optimize for enrollment and engagement. Take a growth mindset to the learner funnel. Understand where learners drop off and make data-informed decisions about how to fix issues.\n\nPartnerships & Community\n\n - Build educational distribution partnerships. Identify and develop co-marketing and distribution opportunities with learning platforms (LinkedIn Learning, DataCamp, and similar) and AI/ML communities that can expand Academy's reach to the right audiences at scale.\n\n - Think systemically about developer onboarding through education. Be the person always asking: how do we use education to get more developers successfully building on LangChain? Bring ideas, run experiments, and build programs that move the needle on product adoption through learning.\n\n - Own the YouTube education content calendar. Maintain and drive the content calendar for education-focused YouTube videos and tutorials, working closely with education engineers and deployed engineers to plan, schedule, and promote content consistently.\n\nMeasurement & Reporting\n\n - Own top-of-funnel enrollment numbers. You're accountable for Academy enrollment as a metric. Always have a point of view on what's driving it, what's holding it back, and what to do next.\n\n - Track what matters beyond enrollment. Work with the Technical Content Manager to analyze reporting on learner engagement, course completion rates, drop-off, NPS, and content performance across Academy and YouTube. Use the data to inform what gets made, how it gets promoted, and where the experience needs work.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Systems thinker with a growth mindset. You're organized and process-oriented. You can own a CMS, run a content calendar, and manage a launch, but you're always thinking about what would move the number and how to test it.\n\n - Developer empathy. You understand what earns trust with technical audiences. You know the difference between educational content developers find genuinely useful and content that feels like a tutorial-shaped ad.\n\n - Strong communicator and writer. You can write crisp promotional copy, a clear course description, and a launch brief, and you have a POV on tone that feels credible and human, not corporate.\n\n - Collaborative operator. You're comfortable working across the Technical Content Manager, education engineers, deployed engineers, lifecycle marketing, brand design, and an external SEO agency, synthesizing different inputs into a coherent plan and owning execution.\n\n - Technical curiosity. Genuine interest in AI and the developer ecosystem. Familiarity with LangChain products or similar tools is a strong plus. You'll need to understand what we build and who we build it for in order to market it well.\n\n\nNICE TO HAVE\n\n - Experience marketing developer education, online courses, or technical content programs\n\n - Familiarity with LMS or course CMS platforms (we use Thinkific)\n\n - Experience building or launching certification or credentialing programs\n\n - Background in developer marketing\n\n - Experience with YouTube content strategy and growth for technical audiences\n\n - Prior experience working with an SEO agency or owning organic search strategy for a content-heavy site\n\nSalary Range: $160,000 - $210,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"baf1486a-6329-40bd-8304-5d450efb17b7","title":"Education Marketing Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-04-20T03:47:18.433+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/baf1486a-6329-40bd-8304-5d450efb17b7","applyUrl":"https://jobs.ashbyhq.com/langchain/baf1486a-6329-40bd-8304-5d450efb17b7/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: San Francisco, CA or New York City, NY
LangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain's products. We're looking for an Education Marketing Lead to own the strategy and execution that turns LangChain Academy into a meaningful growth channel for LangChain at large.
This is a high-ownership role sitting at the intersection of education and growth. You'll build the programs, systems, and go-to-market motions that drive Academy enrollment at scale, while shaping the learner experience that keeps developers coming back and advancing through our curriculum. You'll work with the Technical Content Manager and across education engineers, deployed engineers, brand design, lifecycle marketing, and our SEO agency.
LangChain already has strong technical credibility and a developer community that cares deeply about building with our products. Education is one of the highest-leverage ways to deepen that relationship and expand our reach. Your job is to build the marketing engine that makes LangChain Academy a destination for agent engineers.
Marketing Academy
Drive enrollment. Develop and execute promotional campaigns that reach developers where they are, within LangChain docs, on social, through the newsletter, and via community touchpoints, to consistently drive top-of-funnel course enrollment.
Build and scale certification programs. Own the development and launch of LangChain Academy certification offerings, from program design and credentialing mechanics to marketing and positioning that makes them worth earning.
Drive organic discovery through SEO. Partner with our SEO agency to own search strategy for Academy landing pages and educational content. Ensure courses and tutorials are positioned to capture high-intent developer search traffic and continuously improve organic reach over time.
Lead end-to-end course launches. Own the go-to-market process for every LangChain Academy course, from launch planning and cross-functional coordination to promotional execution across docs, socials, the LangChain website, email, and community channels.
Own LangChain Academy's external presence. Manage and continuously improve the Academy landing pages and external-facing site.
Learner Lifecycle & Engagement
Invest in email and nurture flows for enrolled learners. Partnering with lifecycle marketing to build and optimize onboarding sequences, course completion nudges, and flows that keep learners progressing and guide them toward their next course or certification.
Collaborate with the Technical Content Manager on pathways and bundles. Work closely with the Education Manager to develop and market curriculum pathways and course bundles that help learners understand how to progress through the Academy and make it easy to take the next step.
Optimize for enrollment and engagement. Take a growth mindset to the learner funnel. Understand where learners drop off and make data-informed decisions about how to fix issues.
Partnerships & Community
Build educational distribution partnerships. Identify and develop co-marketing and distribution opportunities with learning platforms (LinkedIn Learning, DataCamp, and similar) and AI/ML communities that can expand Academy's reach to the right audiences at scale.
Think systemically about developer onboarding through education. Be the person always asking: how do we use education to get more developers successfully building on LangChain? Bring ideas, run experiments, and build programs that move the needle on product adoption through learning.
Own the YouTube education content calendar. Maintain and drive the content calendar for education-focused YouTube videos and tutorials, working closely with education engineers and deployed engineers to plan, schedule, and promote content consistently.
Measurement & Reporting
Own top-of-funnel enrollment numbers. You're accountable for Academy enrollment as a metric. Always have a point of view on what's driving it, what's holding it back, and what to do next.
Track what matters beyond enrollment. Work with the Technical Content Manager to analyze reporting on learner engagement, course completion rates, drop-off, NPS, and content performance across Academy and YouTube. Use the data to inform what gets made, how it gets promoted, and where the experience needs work.
Systems thinker with a growth mindset. You're organized and process-oriented. You can own a CMS, run a content calendar, and manage a launch, but you're always thinking about what would move the number and how to test it.
Developer empathy. You understand what earns trust with technical audiences. You know the difference between educational content developers find genuinely useful and content that feels like a tutorial-shaped ad.
Strong communicator and writer. You can write crisp promotional copy, a clear course description, and a launch brief, and you have a POV on tone that feels credible and human, not corporate.
Collaborative operator. You're comfortable working across the Technical Content Manager, education engineers, deployed engineers, lifecycle marketing, brand design, and an external SEO agency, synthesizing different inputs into a coherent plan and owning execution.
Technical curiosity. Genuine interest in AI and the developer ecosystem. Familiarity with LangChain products or similar tools is a strong plus. You'll need to understand what we build and who we build it for in order to market it well.
Experience marketing developer education, online courses, or technical content programs
Familiarity with LMS or course CMS platforms (we use Thinkific)
Experience building or launching certification or credentialing programs
Background in developer marketing
Experience with YouTube content strategy and growth for technical audiences
Prior experience working with an SEO agency or owning organic search strategy for a content-heavy site
Salary Range: $160,000 - $210,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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: San Francisco, CA or New York City, NY\n\nLangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain's products. We're looking for an Education Marketing Lead to own the strategy and execution that turns LangChain Academy into a meaningful growth channel for LangChain at large.\n\nThis is a high-ownership role sitting at the intersection of education and growth. You'll build the programs, systems, and go-to-market motions that drive Academy enrollment at scale, while shaping the learner experience that keeps developers coming back and advancing through our curriculum. You'll work with the Technical Content Manager and across education engineers, deployed engineers, brand design, lifecycle marketing, and our SEO agency.\n\nLangChain already has strong technical credibility and a developer community that cares deeply about building with our products. Education is one of the highest-leverage ways to deepen that relationship and expand our reach. Your job is to build the marketing engine that makes LangChain Academy a destination for agent engineers.\n\n\n\n\nWHAT YOU'LL DO\n\nMarketing Academy\n\n - Drive enrollment. Develop and execute promotional campaigns that reach developers where they are, within LangChain docs, on social, through the newsletter, and via community touchpoints, to consistently drive top-of-funnel course enrollment.\n\n - Build and scale certification programs. Own the development and launch of LangChain Academy certification offerings, from program design and credentialing mechanics to marketing and positioning that makes them worth earning.\n\n - Drive organic discovery through SEO. Partner with our SEO agency to own search strategy for Academy landing pages and educational content. Ensure courses and tutorials are positioned to capture high-intent developer search traffic and continuously improve organic reach over time.\n\n - Lead end-to-end course launches. Own the go-to-market process for every LangChain Academy course, from launch planning and cross-functional coordination to promotional execution across docs, socials, the LangChain website, email, and community channels.\n\n - Own LangChain Academy's external presence. Manage and continuously improve the Academy landing pages and external-facing site.\n\nLearner Lifecycle & Engagement\n\n - Invest in email and nurture flows for enrolled learners. Partnering with lifecycle marketing to build and optimize onboarding sequences, course completion nudges, and flows that keep learners progressing and guide them toward their next course or certification.\n\n - Collaborate with the Technical Content Manager on pathways and bundles. Work closely with the Education Manager to develop and market curriculum pathways and course bundles that help learners understand how to progress through the Academy and make it easy to take the next step.\n\n - Optimize for enrollment and engagement. Take a growth mindset to the learner funnel. Understand where learners drop off and make data-informed decisions about how to fix issues.\n\nPartnerships & Community\n\n - Build educational distribution partnerships. Identify and develop co-marketing and distribution opportunities with learning platforms (LinkedIn Learning, DataCamp, and similar) and AI/ML communities that can expand Academy's reach to the right audiences at scale.\n\n - Think systemically about developer onboarding through education. Be the person always asking: how do we use education to get more developers successfully building on LangChain? Bring ideas, run experiments, and build programs that move the needle on product adoption through learning.\n\n - Own the YouTube education content calendar. Maintain and drive the content calendar for education-focused YouTube videos and tutorials, working closely with education engineers and deployed engineers to plan, schedule, and promote content consistently.\n\nMeasurement & Reporting\n\n - Own top-of-funnel enrollment numbers. You're accountable for Academy enrollment as a metric. Always have a point of view on what's driving it, what's holding it back, and what to do next.\n\n - Track what matters beyond enrollment. Work with the Technical Content Manager to analyze reporting on learner engagement, course completion rates, drop-off, NPS, and content performance across Academy and YouTube. Use the data to inform what gets made, how it gets promoted, and where the experience needs work.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - Systems thinker with a growth mindset. You're organized and process-oriented. You can own a CMS, run a content calendar, and manage a launch, but you're always thinking about what would move the number and how to test it.\n\n - Developer empathy. You understand what earns trust with technical audiences. You know the difference between educational content developers find genuinely useful and content that feels like a tutorial-shaped ad.\n\n - Strong communicator and writer. You can write crisp promotional copy, a clear course description, and a launch brief, and you have a POV on tone that feels credible and human, not corporate.\n\n - Collaborative operator. You're comfortable working across the Technical Content Manager, education engineers, deployed engineers, lifecycle marketing, brand design, and an external SEO agency, synthesizing different inputs into a coherent plan and owning execution.\n\n - Technical curiosity. Genuine interest in AI and the developer ecosystem. Familiarity with LangChain products or similar tools is a strong plus. You'll need to understand what we build and who we build it for in order to market it well.\n\n\nNICE TO HAVE\n\n - Experience marketing developer education, online courses, or technical content programs\n\n - Familiarity with LMS or course CMS platforms (we use Thinkific)\n\n - Experience building or launching certification or credentialing programs\n\n - Background in developer marketing\n\n - Experience with YouTube content strategy and growth for technical audiences\n\n - Prior experience working with an SEO agency or owning organic search strategy for a content-heavy site\n\nSalary Range: $160,000 - $210,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"2a1f67e3-7509-4c92-9ec8-2e645d00c3eb","title":"Deployed Engineer (Phoenix)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Phoenix, AZ","secondaryLocations":[],"publishedAt":"2026-04-21T00:11:52.885+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/2a1f67e3-7509-4c92-9ec8-2e645d00c3eb","applyUrl":"https://jobs.ashbyhq.com/langchain/2a1f67e3-7509-4c92-9ec8-2e645d00c3eb/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
This role requires up to 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: $155,000–$360,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\n\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\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 up to 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: $155,000–$360,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"91bb582c-fe9a-4651-9e9f-cdb452ec6532","title":"Deployed Engineer (Salt Lake City)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Salt Lake City, UT","secondaryLocations":[],"publishedAt":"2026-04-21T00:12:32.230+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/91bb582c-fe9a-4651-9e9f-cdb452ec6532","applyUrl":"https://jobs.ashbyhq.com/langchain/91bb582c-fe9a-4651-9e9f-cdb452ec6532/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
This role requires up to 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
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: $155,000–$360,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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\n\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 - This role requires up to 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 - 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 & BENEFITS\n\n\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: $155,000–$360,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Commercial Account Manager","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-24T20:01:47.413+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 Commercial 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:
$150K-$200K On-Target Earnings
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Commercial 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 West Coast\n\nCompensation:\n\n - $150K-$200K On-Target Earnings\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"b8dead31-212a-4b92-82a7-c42df16ae877","title":"Customer Engineer (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"}}}],"publishedAt":"2026-06-16T02:29:17.355+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b8dead31-212a-4b92-82a7-c42df16ae877","applyUrl":"https://jobs.ashbyhq.com/langchain/b8dead31-212a-4b92-82a7-c42df16ae877/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 Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the LangChain ecosystem.
You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.
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.
Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform
Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices
Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations
Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams
Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain
Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials
5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar
Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack
Passion for educating users on technical topics and deep empathy for the developer experience
Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders
Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously
Ability and willingness to travel up to 20% of time for customer engagements
Preferred:
Hands-on experience building and deploying applications using LangChain, LangGraph, and LangSmith (or similar frameworks)
Proficiency with TypeScript/JavaScript in addition to Python
Compensation:
Base Salary $116,000-$195,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the LangChain ecosystem.\n\nYou'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.\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\nWHAT YOU'LL DO\n\n - Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platform\n\n - Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices\n\n - Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations\n\n - Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams\n\n - Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChain\n\n - Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar\n\n - Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack\n\n - Passion for educating users on technical topics and deep empathy for the developer experience\n\n - Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides\n\n - Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders\n\n - Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously\n\n - Ability and willingness to travel up to 20% of time for customer engagements\n\nPreferred:\n\n - Hands-on experience building and deploying applications using LangChain, LangGraph, and LangSmith (or similar frameworks)\n\n - Proficiency with TypeScript/JavaScript in addition to Python\n\nCompensation:\n\n - Base Salary $116,000-$195,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 Manager","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-04-24T22:36:49.299+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/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 Manager 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.
This is an in-office position.
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
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.
Annual salary range: 105,000-120,000 GBP
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Manager 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\nThis is an in-office position.\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\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\nAnnual salary range: 105,000-120,000 GBP\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"2026-06-30T00:56:27.693+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 agenbt 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: $215,000-$260,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 agenbt 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: $215,000-$260,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"Customer Engineering","team":"Customer 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. 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.
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. 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\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":"6799c4fc-893c-4ed6-ad14-26ea80105984","title":"Controller","department":"Finance","team":"Finance","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-01T18:26:32.161+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6799c4fc-893c-4ed6-ad14-26ea80105984","applyUrl":"https://jobs.ashbyhq.com/langchain/6799c4fc-893c-4ed6-ad14-26ea80105984/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 the Financial Controller, you'll lead our accounting and financial reporting functions end-to-end. You'll be the person who makes sure our books are clean, our close process runs on time, and our leadership team has the numbers they need to make good decisions. This role reports to the Head of Finance and works closely with our Finance, Legal, People and Operations teams.
This is an in-office role based in our San Francisco or New York office.
Lead the monthly, quarterly, and annual close process — on time and with accuracy
Lead our first audit and manage relationships with auditors and tax advisors
Oversee accounts payable, accounts receivable, payroll, and equity administration
Build and maintain internal controls and ensure compliance with relevant regulations
Partner with Finance on budgeting, forecasting, and variance analysis
Drive improvements to our financial systems and processes as we scale
10+ years of progressive accounting and finance experience, with at least 2 years in a Controller role
CPA required
Deep knowledge of GAAP and financial reporting standards
Experience in high-growth SaaS or technology companies — you understand what \"scaling\" actually means for a finance function
Strong working knowledge of accounting systems
Track record of building or improving close processes and internal controls
Comfortable working across functions and communicating financial concepts to non-finance stakeholders
Bonus: experience supporting a Series B–D company through an audit or preparing for one
You’ve worked in fast-moving teams where scope and priorities evolve
You have start-up DNA: You thrive in fast-paced, ambiguous environments etc.
You exemplify our operating principles.
You are motivated to build something great: you hold a high bar for quality, craft, and impact
You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate
You operate with maximum agency: you take ownership, move work forward independently, and help others unblock
You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges
Annual salary range: $200,000-225,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 the Financial Controller, you'll lead our accounting and financial reporting functions end-to-end. You'll be the person who makes sure our books are clean, our close process runs on time, and our leadership team has the numbers they need to make good decisions. This role reports to the Head of Finance and works closely with our Finance, Legal, People and Operations teams.\n\nThis is an in-office role based in our San Francisco or New York office.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Lead the monthly, quarterly, and annual close process — on time and with accuracy\n\n - Lead our first audit and manage relationships with auditors and tax advisors\n\n - Oversee accounts payable, accounts receivable, payroll, and equity administration\n\n - Build and maintain internal controls and ensure compliance with relevant regulations\n\n - Partner with Finance on budgeting, forecasting, and variance analysis\n\n - Drive improvements to our financial systems and processes as we scale\n\n\nWHAT YOU’LL BRING:\n\n\n\n - 10+ years of progressive accounting and finance experience, with at least 2 years in a Controller role\n\n - CPA required\n\n - Deep knowledge of GAAP and financial reporting standards\n\n - Experience in high-growth SaaS or technology companies — you understand what \"scaling\" actually means for a finance function\n\n - Strong working knowledge of accounting systems\n\n - Track record of building or improving close processes and internal controls\n\n - Comfortable working across functions and communicating financial concepts to non-finance stakeholders\n\n - Bonus: experience supporting a Series B–D company through an audit or preparing for one\n\n - You’ve worked in fast-moving teams where scope and priorities evolve\n\n - You have start-up DNA: You thrive in fast-paced, ambiguous environments etc.\n\n - You exemplify our operating principles https://www.langchain.com/careers.\n \n - You are motivated to build something great: you hold a high bar for quality, craft, and impact\n \n - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate\n \n - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock\n \n - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges\n\n\n\n\nCOMPENSATION:\n\nAnnual salary range: $200,000-225,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"dc1193e6-f874-4234-aa65-fdb54f8c4f24","title":"Controller","department":"Finance","team":"Finance","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-01T18:26:41.299+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/dc1193e6-f874-4234-aa65-fdb54f8c4f24","applyUrl":"https://jobs.ashbyhq.com/langchain/dc1193e6-f874-4234-aa65-fdb54f8c4f24/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 the Financial Controller, you'll lead our accounting and financial reporting functions end-to-end. You'll be the person who makes sure our books are clean, our close process runs on time, and our leadership team has the numbers they need to make good decisions. This role reports to the Head of Finance and works closely with our Finance, Legal, People and Operations teams.
This is an in-office role based in our San Francisco or New York office.
Lead the monthly, quarterly, and annual close process — on time and with accuracy
Lead our first audit and manage relationships with auditors and tax advisors
Oversee accounts payable, accounts receivable, payroll, and equity administration
Build and maintain internal controls and ensure compliance with relevant regulations
Partner with Finance on budgeting, forecasting, and variance analysis
Drive improvements to our financial systems and processes as we scale
10+ years of progressive accounting and finance experience, with at least 2 years in a Controller role
CPA required
Deep knowledge of GAAP and financial reporting standards
Experience in high-growth SaaS or technology companies — you understand what \"scaling\" actually means for a finance function
Strong working knowledge of accounting systems
Track record of building or improving close processes and internal controls
Comfortable working across functions and communicating financial concepts to non-finance stakeholders
Bonus: experience supporting a Series B–D company through an audit or preparing for one
You’ve worked in fast-moving teams where scope and priorities evolve
You have start-up DNA: You thrive in fast-paced, ambiguous environments etc.
You exemplify our operating principles.
You are motivated to build something great: you hold a high bar for quality, craft, and impact
You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate
You operate with maximum agency: you take ownership, move work forward independently, and help others unblock
You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges
Annual salary range: $200,000-225,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 the Financial Controller, you'll lead our accounting and financial reporting functions end-to-end. You'll be the person who makes sure our books are clean, our close process runs on time, and our leadership team has the numbers they need to make good decisions. This role reports to the Head of Finance and works closely with our Finance, Legal, People and Operations teams.\n\nThis is an in-office role based in our San Francisco or New York office.\n\n \n\n\nWHAT YOU’LL DO:\n\n - Lead the monthly, quarterly, and annual close process — on time and with accuracy\n\n - Lead our first audit and manage relationships with auditors and tax advisors\n\n - Oversee accounts payable, accounts receivable, payroll, and equity administration\n\n - Build and maintain internal controls and ensure compliance with relevant regulations\n\n - Partner with Finance on budgeting, forecasting, and variance analysis\n\n - Drive improvements to our financial systems and processes as we scale\n\n\nWHAT YOU’LL BRING:\n\n \n\n - 10+ years of progressive accounting and finance experience, with at least 2 years in a Controller role\n\n - CPA required\n\n - Deep knowledge of GAAP and financial reporting standards\n\n - Experience in high-growth SaaS or technology companies — you understand what \"scaling\" actually means for a finance function\n\n - Strong working knowledge of accounting systems\n\n - Track record of building or improving close processes and internal controls\n\n - Comfortable working across functions and communicating financial concepts to non-finance stakeholders\n\n - Bonus: experience supporting a Series B–D company through an audit or preparing for one\n\n - You’ve worked in fast-moving teams where scope and priorities evolve\n\n - You have start-up DNA: You thrive in fast-paced, ambiguous environments etc.\n\n - You exemplify our operating principles https://www.langchain.com/careers.\n \n - You are motivated to build something great: you hold a high bar for quality, craft, and impact\n \n - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate\n \n - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock\n \n - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges\n\n \n\n\nCOMPENSATION:\n\nAnnual salary range: $200,000-225,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"7395d0d7-da1d-4061-9a5e-65eaadbbbda1","title":"GTM Onboarding & Enablement Lead","department":"GTM Enablement","team":"GTM Enablement","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-21T17:56:15.991+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7395d0d7-da1d-4061-9a5e-65eaadbbbda1","applyUrl":"https://jobs.ashbyhq.com/langchain/7395d0d7-da1d-4061-9a5e-65eaadbbbda1/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 looking for a highly operational and program-oriented GTM onboarding and enablement lead to build and scale a world-class onboarding and ramp experience across our growing Go-To-Market organization.
This role will own onboarding strategy and execution across Sales, SDR, Deployed Engineer (DE), and Customer Engineering (CE) teams. The ideal candidate combines strong program management, enablement, onboarding, and cross-functional coordination skills with the ability to build structured, hands-on learning experiences in a fast-moving technical environment.
This is a highly cross-functional role partnering closely with Sales Leadership, Product, PMM, DE, CE, Revenue Operations, and Enablement leadership to ensure new hires ramp quickly, build strong product fluency, and become customer-ready with confidence.
Own end-to-end onboarding and ramp programs across Sales, SDR, DE, and CE organizations
Build, manage, facilitate, and continuously improve in-person and virtual GTM Bootcamps
Redesign onboarding experiences into more hands-on, role-based learning programs with practical exercises, certifications, workshops, and customer-facing simulations
Develop scalable onboarding frameworks that support rapid GTM team growth globally
Build and maintain scalable onboarding learning paths within WorkRamp for Commercial, Enterprise, SDR, DE, and CE functions
Create structured onboarding journeys, certification programs, learning milestones, and reinforcement programs
Partner with managers and leadership to operationalize onboarding workflows, progress tracking, and onboarding accountability
Continuously improve onboarding content organization, usability, and learner experience
Develop role-based product fluency programs focused on practical GTM application, customer conversations, POV readiness, discovery, and real-world sales execution
Partner closely with Product, PMM, DE, and CE teams to ensure onboarding content reflects the latest product capabilities, customer lifecycle, GTM motion, and adoption workflows
Translate complex technical concepts into practical, role-appropriate onboarding experiences for different GTM audiences
Create onboarding certifications and readiness milestones tied to observable skills, role expectations, and ramp progression
Build onboarding manager toolkits including:
30/60/90 day plans
coaching checkpoints
onboarding inspection frameworks
readiness scorecards
Establish clear definitions of onboarding success and ramp readiness across GTM functions
Operationalize onboarding measurement and reporting including:
ramp progress
certification completion
onboarding feedback
onboarding engagement
time-to-productivity metrics
Identify onboarding gaps and continuously improve programs based on learner feedback, manager feedback, and business priorities
Standardize onboarding documentation, assets, and enablement resources across GTM teams
5+ years of experience in Sales Enablement, Revenue Enablement, GTM Onboarding, Learning & Development, or related GTM program roles
Experience building and scaling onboarding programs in high-growth SaaS or technical platform companies
Strong experience with LMS platforms, preferably WorkRamp
Experience designing structured onboarding paths, certifications, and learning programs
Strong facilitation and program management skills
Ability to work cross-functionally across Sales, Product, PMM, Customer Success, and technical teams
Strong written and verbal communication skills
Highly organized with strong operational execution and project management capabilities
Compensation: $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. 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.
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\nROLE OVERVIEW\n\nLangChain is looking for a highly operational and program-oriented GTM onboarding and enablement lead to build and scale a world-class onboarding and ramp experience across our growing Go-To-Market organization.\n\nThis role will own onboarding strategy and execution across Sales, SDR, Deployed Engineer (DE), and Customer Engineering (CE) teams. The ideal candidate combines strong program management, enablement, onboarding, and cross-functional coordination skills with the ability to build structured, hands-on learning experiences in a fast-moving technical environment.\n\nThis is a highly cross-functional role partnering closely with Sales Leadership, Product, PMM, DE, CE, Revenue Operations, and Enablement leadership to ensure new hires ramp quickly, build strong product fluency, and become customer-ready with confidence.\n\n \n\n\nWHAT YOU’LL DO\n\n\nGTM ONBOARDING PROGRAMS\n\n - Own end-to-end onboarding and ramp programs across Sales, SDR, DE, and CE organizations\n\n - Build, manage, facilitate, and continuously improve in-person and virtual GTM Bootcamps\n\n - Redesign onboarding experiences into more hands-on, role-based learning programs with practical exercises, certifications, workshops, and customer-facing simulations\n\n - Develop scalable onboarding frameworks that support rapid GTM team growth globally\n\n\nLMS & LEARNING INFRASTRUCTURE\n\n - Build and maintain scalable onboarding learning paths within WorkRamp for Commercial, Enterprise, SDR, DE, and CE functions\n\n - Create structured onboarding journeys, certification programs, learning milestones, and reinforcement programs\n\n - Partner with managers and leadership to operationalize onboarding workflows, progress tracking, and onboarding accountability\n\n - Continuously improve onboarding content organization, usability, and learner experience\n\n\nPRODUCT & GTM FLUENCY\n\n - Develop role-based product fluency programs focused on practical GTM application, customer conversations, POV readiness, discovery, and real-world sales execution\n\n - Partner closely with Product, PMM, DE, and CE teams to ensure onboarding content reflects the latest product capabilities, customer lifecycle, GTM motion, and adoption workflows\n\n - Translate complex technical concepts into practical, role-appropriate onboarding experiences for different GTM audiences\n\n\nRAMP READINESS & CERTIFICATION\n\n - Create onboarding certifications and readiness milestones tied to observable skills, role expectations, and ramp progression\n\n - Build onboarding manager toolkits including:\n \n - 30/60/90 day plans\n \n - coaching checkpoints\n \n - onboarding inspection frameworks\n \n - readiness scorecards\n\n - Establish clear definitions of onboarding success and ramp readiness across GTM functions\n\n\nPROGRAM OPERATIONS & MEASUREMENT\n\n - Operationalize onboarding measurement and reporting including:\n \n - ramp progress\n \n - certification completion\n \n - onboarding feedback\n \n - onboarding engagement\n \n - time-to-productivity metrics\n\n - Identify onboarding gaps and continuously improve programs based on learner feedback, manager feedback, and business priorities\n\n - Standardize onboarding documentation, assets, and enablement resources across GTM teams\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years of experience in Sales Enablement, Revenue Enablement, GTM Onboarding, Learning & Development, or related GTM program roles\n\n - Experience building and scaling onboarding programs in high-growth SaaS or technical platform companies\n\n - Strong experience with LMS platforms, preferably WorkRamp\n\n - Experience designing structured onboarding paths, certifications, and learning programs\n\n - Strong facilitation and program management skills\n\n - Ability to work cross-functionally across Sales, Product, PMM, Customer Success, and technical teams\n\n - Strong written and verbal communication skills\n\n - Highly organized with strong operational execution and project management capabilities\n\nCompensation: $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. 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\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. 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.
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. 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\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":"a7ba225a-b4c8-4ae8-9979-b6ff4cb4401d","title":"Commercial Account Executive (German Speaker)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-07T20:36:27.307+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/a7ba225a-b4c8-4ae8-9979-b6ff4cb4401d","applyUrl":"https://jobs.ashbyhq.com/langchain/a7ba225a-b4c8-4ae8-9979-b6ff4cb4401d/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
Native German Speaker
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. 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.
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\n - Native German Speaker\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. 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\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":"ea70879f-98c9-4888-a259-39e68ec949fc","title":"Regional Vice President, Sales EMEA","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-13T17:46:28.054+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/ea70879f-98c9-4888-a259-39e68ec949fc","applyUrl":"https://jobs.ashbyhq.com/langchain/ea70879f-98c9-4888-a259-39e68ec949fc/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 Regional VP for EMEA to own and lead our UKI, Benelux, and Nordics business. You'll inherit a team of nine quota-carrying enterprise AEs across three hubs: London, Amsterdam, and Stockholm, and be responsible for building the management layer, operating model, and partner ecosystem that takes Northern Europe from early traction to consistent, scaled revenue.
This is a Director-level hire with second-line ambition. You'll report directly to the VP EMEA and operate with meaningful autonomy across pipeline, hiring, partner relationships, and executive engagement.
Northern Europe represents the highest growth potential in EMEA. The UKI holds the largest LangChain user base and enterprise footprint in the region, while the Nordics and Benelux are building strong momentum with significant upside ahead.
Team leadership and performance
Lead, develop, and expand the Enterprise Sales teams across UKI, Benelux, and Nordics from day one
Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency
Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles
Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales
Revenue
Own the Northern Europe number: quarterly and annual quota attainment across all three sub-regions
Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to VP EMEA and leadership
Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations
Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in Northern Europe
Hiring
Manage multiple open roles across Northern Europe simultaneously: owning the full hiring lifecycle across pipeline, assessment, and closing
Partner with the retained search firm and internal talent team to move at pace without compromising on quality
Define the headcount profile for Northern Europe beyond Q3 and feed into H2 planning, ensuring the team is built ahead of the revenue curve
Partner ecosystem
Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across UKI, Nordics and Benelux
Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion
Represent LangChain at partner QBRs and executive engagements in region
Market presence
Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs
Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts
Bring intelligence on the UKI, Benelux, and Nordics markets back to the VP EMEA and product teams to inform roadmap and go-to-market positioning
Experience
8+ years in enterprise SaaS sales, with at least 3 years in a regional or sub-regional leadership role managing quota-carrying AEs
Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters
Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across UKI, Benelux, and Nordics
Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted
Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus
Leadership
You've run teams of 6+ AEs before and know the difference between managing and coaching
You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon, and add value in both
You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously
You've built or contributed to a partner motion before: you understand what \"partner pipeline\" means in practice, not just in theory
Operating style
You bias toward action. You don't wait for a playbook to be handed to you: you build it
You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it
You communicate clearly and directly, to your team and to leadership
You're present in the market. You attend the right events, know the right people, and build relationships that translate into pipeline and retention
On Target Earnings Range: 300K to 330K + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Regional VP for EMEA to own and lead our UKI, Benelux, and Nordics business. You'll inherit a team of nine quota-carrying enterprise AEs across three hubs: London, Amsterdam, and Stockholm, and be responsible for building the management layer, operating model, and partner ecosystem that takes Northern Europe from early traction to consistent, scaled revenue.\n\nThis is a Director-level hire with second-line ambition. You'll report directly to the VP EMEA and operate with meaningful autonomy across pipeline, hiring, partner relationships, and executive engagement.\n\nNorthern Europe represents the highest growth potential in EMEA. The UKI holds the largest LangChain user base and enterprise footprint in the region, while the Nordics and Benelux are building strong momentum with significant upside ahead.\n\n\n\n\nWHAT YOU'LL OWN\n\nTeam leadership and performance\n\n - Lead, develop, and expand the Enterprise Sales teams across UKI, Benelux, and Nordics from day one\n\n - Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency\n\n - Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles\n\n - Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales\n\nRevenue\n\n - Own the Northern Europe number: quarterly and annual quota attainment across all three sub-regions\n\n - Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to VP EMEA and leadership\n\n - Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations\n\n - Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in Northern Europe\n\nHiring\n\n - Manage multiple open roles across Northern Europe simultaneously: owning the full hiring lifecycle across pipeline, assessment, and closing\n\n - Partner with the retained search firm and internal talent team to move at pace without compromising on quality\n\n - Define the headcount profile for Northern Europe beyond Q3 and feed into H2 planning, ensuring the team is built ahead of the revenue curve\n\nPartner ecosystem\n\n - Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across UKI, Nordics and Benelux\n\n - Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion\n\n - Represent LangChain at partner QBRs and executive engagements in region\n\nMarket presence\n\n - Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs\n\n - Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts\n\n - Bring intelligence on the UKI, Benelux, and Nordics markets back to the VP EMEA and product teams to inform roadmap and go-to-market positioning\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nExperience\n\n - 8+ years in enterprise SaaS sales, with at least 3 years in a regional or sub-regional leadership role managing quota-carrying AEs\n\n - Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters\n\n - Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across UKI, Benelux, and Nordics\n\n - Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted\n\n - Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus\n\nLeadership\n\n - You've run teams of 6+ AEs before and know the difference between managing and coaching\n\n - You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon, and add value in both\n\n - You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously\n\n - You've built or contributed to a partner motion before: you understand what \"partner pipeline\" means in practice, not just in theory\n\nOperating style\n\n - You bias toward action. You don't wait for a playbook to be handed to you: you build it\n\n - You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it\n\n - You communicate clearly and directly, to your team and to leadership\n\n - You're present in the market. You attend the right events, know the right people, and build relationships that translate into pipeline and retention\n \n \n \n On Target Earnings Range: 300K to 330K + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 agenbt 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: $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. 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.
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 agenbt 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: $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. 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\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":"d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93","title":"Principal Software Engineer, AI Observability & Evals Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-05-13T22:53:01.826+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93","applyUrl":"https://jobs.ashbyhq.com/langchain/d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93/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, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.
We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.
Location: This role can be based in our Boston, San Francisco, or NYC office.
Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
Help shape the product roadmap by partnering closely with product and design — not just executing on it
Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines
Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
Ensure system reliability through strong testing, monitoring, and alerting practices
Create and maintain technical documentation, including system design docs and API references
10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability
Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale
Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads
You exemplify our operating principles
Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure
Salary Range: $230,000 - $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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, they own this end-to-end. If you want to help 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 Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.\n\nLocation: This role can be based in our Boston, San Francisco, or NYC office.\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n\nDRIVE TECHNICAL DIRECTION\n\n - Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale\n\n - Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences\n\n - Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data\n\n - Help shape the product roadmap by partnering closely with product and design — not just executing on it\n\n\nRAISE THE BAR FOR THE TEAM\n\n - Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on\n\n - Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance\n\n - Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines\n\n\nOWN RELIABILITY AND QUALITY\n\n - Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices\n\n - Create and maintain technical documentation, including system design docs and API references\n \n \n\n\nWHAT YOU'LL BRING\n\n\n\n\n - 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems\n\n - Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)\n\n - Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability\n\n - Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability\n\n - Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale\n\n - Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase\n\n - Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership\n\n - Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads\n\n - You exemplify our operating principles https://www.langchain.com/careers\n\n\n\n\nNICE TO HAVE\n\n - Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)\n\n - Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure\n \n \n\nSalary Range: $230,000 - $270,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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. 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.
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. 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\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":"49e5ee0c-7293-4ce6-80fc-70199e4172f8","title":"Enterprise Account Executive (SoCal)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Los Angeles, CA","secondaryLocations":[],"publishedAt":"2026-05-17T01:56:51.414+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/49e5ee0c-7293-4ce6-80fc-70199e4172f8","applyUrl":"https://jobs.ashbyhq.com/langchain/49e5ee0c-7293-4ce6-80fc-70199e4172f8/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. 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.
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. 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\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":"2026-06-18T13:29:12.552+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 content, 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 content in front of the right people at the right time.
You'll lead an existing team of rockstars across brand, social, content 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.
Content Marketing & Editorial
Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for — and translate that into a rolling editorial direction that the whole team is working from. This is the backbone of everything else.
Keep the editorial calendar always on. Make sure there's always something worth reading, watching, or sharing coming from LangChain — and that it's connected to a coherent point of view.
Review content. Work closely with an existing content marketer to build the program together — shaping briefs, editing drafts, writing when the moment calls for it, and growing the team over time.
Set and uphold the editorial standard. Define LangChain's voice and quality bar.
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, 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, 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, content, 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 content engine and keep it running at a high standard.
Player-coach. You've led creative and 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 content, 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 content 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
Experience building a content marketing function, including hiring and editorial operations
Track record running brand campaigns, including out-of-home or awareness programs
Salary Range: $210,000 – $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 content, 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 content in front of the right people at the right time.\n\nYou'll lead an existing team of rockstars across brand, social, content 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\nContent Marketing & Editorial\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 editorial direction that the whole team is working from. This is the backbone of everything else.\n\n - Keep the editorial calendar always on. Make sure there's always something worth reading, watching, or sharing coming from LangChain — and that it's connected to a coherent point of view.\n\n - Review content. Work closely with an existing content marketer to build the program together — shaping briefs, editing drafts, writing when the moment calls for it, and growing the team over time.\n\n - Set and uphold the editorial standard. Define LangChain's voice and quality bar.\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, 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, 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, content, 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 content engine and keep it running at a high standard.\n\n - Player-coach. You've led creative and 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 content, 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 content 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 - Experience building a content marketing function, including hiring and editorial operations\n\n - Track record running brand campaigns, including out-of-home or awareness programs\n\nSalary Range: $210,000 – $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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. 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.
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. 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\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":"cd5f346a-df71-476b-8382-abd33bed6ed8","title":"Partner Alliance Lead - EMEA","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-06-02T14:41:16.086+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/cd5f346a-df71-476b-8382-abd33bed6ed8","applyUrl":"https://jobs.ashbyhq.com/langchain/cd5f346a-df71-476b-8382-abd33bed6ed8/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 Partner Alliances Lead for EMEA, you will own the partner and cloud alliance execution across our EMEA region. This is a high-leverage, senior individual contributor role where you will build and drive our regional partner ecosystem from the ground up. You will be responsible for turning relationships with key hyperscalers (AWS, GCP, Azure), global systems integrators (GSIs), and regional AI-focused consulting partners into real co-sell pipelines and structured revenue motions.
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, and you have a track record of driving sourced and influenced revenue 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 maximize partner leverage across EMEA.
Own Regional Cloud Alliances: Lead and scale our regional co-sell motions with AWS, GCP, and Microsoft Azure across EMEA, managing joint pipeline and coordinating directly with cloud field teams to turn partner alignments into closed deals.
Drive Marketplace and Program Hygiene: Manage LangChain’s operational footprint in regional cloud marketplaces (including ACE/Cosell portal hygiene, program enrollment, and credit/funding utilization like AWS ISV Accelerate or GCP AI Tracks).
Activate GSI and Solution Partners: Build and maintain active working relationships with key alliance managers, cloud architect teams, and AI practices at targeted Systems Integrators and boutique regional consultancies.
Cross-Functional Deal Alignment: Collaborate closely with LangChain’s regional field sales, solution architecture, and customer engineering teams to map target accounts, equipping them for smooth cloud co-sell motions.
Execute Co-Marketing Motions: Partner with marketing to build high-impact, co-branded technical developer campaigns, regional events, and technical content designed to clear pipeline blockers and establish market position.
Build the Playbook: Establish the operational blueprint for how LangChain scales partnerships across EMEA, moving from ad-hoc relationships to repeatable, operationalized pipeline engines.
Experience: 6+ years of experience managing cloud alliances, partner sales, or business development in EMEA, with deep hands-on experience navigating hyperscaler co-sell programs (AWS, GCP, or Azure).
Technical Foundation: Enough technical fluency to speak credibly with builders, enterprise architects, and engineering leaders. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling sit within a modern enterprise infrastructure.
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.
Operational Rigor: Strong pipeline management skills. You back up your strategy with clean CRM data, accurate tracking of partner activities, and high-signal communication to internal stakeholders.
Strong Communication & Influence: Masterful communication skills. You are just as comfortable writing a concise, clear internal 1-pagers as you are presenting to senior partner stakeholders across complex global systems.
Existing networks or deep working relationships within the AI/ML partner organizations at AWS, GCP, or Microsoft Azure in major EMEA hubs.
Prior experience at an open-source, developer tools, or infrastructure software company with a hybrid PLG and enterprise sales motion.
Familiarity with the modern LLM orchestration stack and enterprise data environments.
Annual Salary Range: 150,000 - 215,000 GBP + Equity
Our Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Partner Alliances Lead for EMEA, you will own the partner and cloud alliance execution across our EMEA region. This is a high-leverage, senior individual contributor role where you will build and drive our regional partner ecosystem from the ground up. You will be responsible for turning relationships with key hyperscalers (AWS, GCP, Azure), global systems integrators (GSIs), and regional AI-focused consulting partners into real co-sell pipelines and structured revenue motions.\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, and you have a track record of driving sourced and influenced revenue 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 maximize partner leverage across EMEA.\n\n\nWHAT YOU'LL DO\n\n - Own Regional Cloud Alliances: Lead and scale our regional co-sell motions with AWS, GCP, and Microsoft Azure across EMEA, managing joint pipeline and coordinating directly with cloud field teams to turn partner alignments into closed deals.\n\n - Drive Marketplace and Program Hygiene: Manage LangChain’s operational footprint in regional cloud marketplaces (including ACE/Cosell portal hygiene, program enrollment, and credit/funding utilization like AWS ISV Accelerate or GCP AI Tracks).\n\n - Activate GSI and Solution Partners: Build and maintain active working relationships with key alliance managers, cloud architect teams, and AI practices at targeted Systems Integrators and boutique regional consultancies.\n\n - Cross-Functional Deal Alignment: Collaborate closely with LangChain’s regional field sales, solution architecture, and customer engineering teams to map target accounts, equipping them for smooth cloud co-sell motions.\n\n - Execute Co-Marketing Motions: Partner with marketing to build high-impact, co-branded technical developer campaigns, regional events, and technical content designed to clear pipeline blockers and establish market position.\n\n - Build the Playbook: Establish the operational blueprint for how LangChain scales partnerships across EMEA, moving from ad-hoc relationships to repeatable, operationalized pipeline engines.\n\n\nWHAT YOU'LL BRING\n\n - Experience: 6+ years of experience managing cloud alliances, partner sales, or business development in EMEA, with deep hands-on experience navigating hyperscaler co-sell programs (AWS, GCP, or Azure).\n\n - Technical Foundation: Enough technical fluency to speak credibly with builders, enterprise architects, and engineering leaders. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling sit within a modern enterprise infrastructure.\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.\n\n - Operational Rigor: Strong pipeline management skills. You back up your strategy with clean CRM data, accurate tracking of partner activities, and high-signal communication to internal stakeholders.\n\n - Strong Communication & Influence: Masterful communication skills. You are just as comfortable writing a concise, clear internal 1-pagers as you are presenting to senior partner stakeholders across complex global systems.\n\n\nNICE TO HAVE'S\n\n - Existing networks or deep working relationships within the AI/ML partner organizations at AWS, GCP, or Microsoft Azure in major EMEA hubs.\n\n - Prior experience at an open-source, developer tools, or infrastructure software company with a hybrid PLG and enterprise sales motion.\n\n - Familiarity with the modern LLM orchestration stack and enterprise data environments.\n\n\nCOMPENSATION AND BENEFITS\n\nAnnual Salary Range: 150,000 - 215,000 GBP + Equity\n\nOur Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"f159330a-a8a0-4523-96b5-0ac58f9e109b","title":"Enterprise Account Executive (Missouri)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Kansas City, MO","secondaryLocations":[],"publishedAt":"2026-05-28T22:56:21.371+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Missouri","addressCountry":"United States","addressLocality":"Kansas City"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f159330a-a8a0-4523-96b5-0ac58f9e109b","applyUrl":"https://jobs.ashbyhq.com/langchain/f159330a-a8a0-4523-96b5-0ac58f9e109b/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.
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 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. 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.
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 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:\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. 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\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":"Solutions Architect (APAC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Remote - Singapore","secondaryLocations":[],"publishedAt":"2026-06-02T22:03:05.891+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 Solutions 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
Location: Singapore
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 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 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\nLocation: Singapore\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"71e8057d-8401-4b8a-a61f-3448f847e56b","title":"Monetization Programs and Operations Lead","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-04T20:10:31.521+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/71e8057d-8401-4b8a-a61f-3448f847e56b","applyUrl":"https://jobs.ashbyhq.com/langchain/71e8057d-8401-4b8a-a61f-3448f847e56b/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 Monetization Program Management and Operations Lead builds the structural systems, data pathways, and operational playbooks that drive long-term business scale. The primary mission is to govern, execute, and evaluate broad commercial programs that ensure the business scales profitably across the entire customer lifecycle.
This position acts as a centralized architect bridging Engineering, Product, GTM and Finance. The role owns the continuous optimization loop—taking corporate-level revenue strategies (e.g., consumption-based rollouts, global pricing overhauls, structural monetization shifts) and translating them into automated, repeatable systems and programmatic workflows. The objective is to ensure that backend infrastructure and go-to-market programs operate flawlessly to capture all business value.
Lead the end-to-end delivery and program management of large-scale commercial initiatives, including launching new product monetization tiers, managing global price increases, and executing macro market expansions.
Translate high-level strategic growth plans into cross-functional program roadmaps, defining milestones, system requirements, and readiness metrics across the enterprise.
Track long-term programmatic health by analyzing post-launch adoption and financial performance against original business cases to recommend structural shifts.
Own the cross-functional data pathways and systems architecture required to power the full customer lifecycle, bridging product-use telemetry/metering, usage collection, billing engines, and enterprise ERP systems.
Ensure seamless data continuity across these platforms so that broad monetization shifts or consumption-based strategies map accurately from a user’s product behavior to financial cash recognition.
Partner with engineering, product, and enterprise systems teams to audit system logic, eliminating data silos and systemic data drops that cause delayed or inaccurate billing.
Audit the end-to-end commercial architecture to proactively identify macro revenue leakage points, such as untracked feature usage, unmetered consumption, or system translation errors.
Establish proactive early warning metrics to assess whether broad commercial programs are succeeding structurally or where systemic bottlenecks are slowing down company growth.
Design and implement structural, automated governance models to ensure standard framework configurations and packaging models are enforced natively by internal systems.
Partner with Product, Finance, and Marketing to operationalize high-level tier structures, subscription offerings, and structural value-bundling strategies.
Analyze macro product and channel performance data to evaluate whether current programmatic strategies successfully drive a profitable product mix and maximize Customer Lifetime Value (LTV).
7+ years of experience leading strategic, cross-functional programs within Revenue Operations, Sales Effectiveness, Program Management, and/or Management Consulting.
Bachelor’s degree in Business, Finance, Computer Science, Economics, or a related analytical field (MBA or PMP certification is a plus).
Extensive experience governing or deeply collaborating with interconnected data infrastructure across the customer lifecycle—specifically integrating product usage/metering tools, subscription billing engines, and ERP financial systems.
A proven track record of orchestrating large-scale corporate programs with highly complex technical and operational dependencies.
Advanced ability to parse complex operational, financial, and product data to diagnose systemic inefficiencies and model the impact of program changes.
Exceptional communication skills with a demonstrated ability to align diverse technical and business teams (Engineering, Finance, Product, Marketing) around structural revenue initiatives without direct authority.
Base salary of $215,000-240,000.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nThe Monetization Program Management and Operations Lead builds the structural systems, data pathways, and operational playbooks that drive long-term business scale. The primary mission is to govern, execute, and evaluate broad commercial programs that ensure the business scales profitably across the entire customer lifecycle.\n\nThis position acts as a centralized architect bridging Engineering, Product, GTM and Finance. The role owns the continuous optimization loop—taking corporate-level revenue strategies (e.g., consumption-based rollouts, global pricing overhauls, structural monetization shifts) and translating them into automated, repeatable systems and programmatic workflows. The objective is to ensure that backend infrastructure and go-to-market programs operate flawlessly to capture all business value.\n\n\n\n\nRESPONSIBILITIES:\n\n\n1) REVENUE PROGRAM GOVERNANCE & EXECUTION\n\n - Lead the end-to-end delivery and program management of large-scale commercial initiatives, including launching new product monetization tiers, managing global price increases, and executing macro market expansions.\n\n - Translate high-level strategic growth plans into cross-functional program roadmaps, defining milestones, system requirements, and readiness metrics across the enterprise.\n\n - Track long-term programmatic health by analyzing post-launch adoption and financial performance against original business cases to recommend structural shifts.\n\n\n2) CROSS-FUNCTIONAL SYSTEMS LIFECYCLE OWNERSHIP\n\n - Own the cross-functional data pathways and systems architecture required to power the full customer lifecycle, bridging product-use telemetry/metering, usage collection, billing engines, and enterprise ERP systems.\n\n - Ensure seamless data continuity across these platforms so that broad monetization shifts or consumption-based strategies map accurately from a user’s product behavior to financial cash recognition.\n\n - Partner with engineering, product, and enterprise systems teams to audit system logic, eliminating data silos and systemic data drops that cause delayed or inaccurate billing.\n\n\n3) SYSTEMIC EFFECTIVENESS DIAGNOSTICS & OPTIMIZATION\n\n - Audit the end-to-end commercial architecture to proactively identify macro revenue leakage points, such as untracked feature usage, unmetered consumption, or system translation errors.\n\n - Establish proactive early warning metrics to assess whether broad commercial programs are succeeding structurally or where systemic bottlenecks are slowing down company growth.\n\n - Design and implement structural, automated governance models to ensure standard framework configurations and packaging models are enforced natively by internal systems.\n\n\n4) COMMERCIAL ARCHITECTURE & ALIGNMENT\n\n - Partner with Product, Finance, and Marketing to operationalize high-level tier structures, subscription offerings, and structural value-bundling strategies.\n\n - Analyze macro product and channel performance data to evaluate whether current programmatic strategies successfully drive a profitable product mix and maximize Customer Lifetime Value (LTV).\n\n\nQUALIFICATIONS:\n\n - 7+ years of experience leading strategic, cross-functional programs within Revenue Operations, Sales Effectiveness, Program Management, and/or Management Consulting.\n\n - Bachelor’s degree in Business, Finance, Computer Science, Economics, or a related analytical field (MBA or PMP certification is a plus).\n\n - Extensive experience governing or deeply collaborating with interconnected data infrastructure across the customer lifecycle—specifically integrating product usage/metering tools, subscription billing engines, and ERP financial systems.\n\n - A proven track record of orchestrating large-scale corporate programs with highly complex technical and operational dependencies.\n\n - Advanced ability to parse complex operational, financial, and product data to diagnose systemic inefficiencies and model the impact of program changes.\n\n - Exceptional communication skills with a demonstrated ability to align diverse technical and business teams (Engineering, Finance, Product, Marketing) around structural revenue initiatives without direct authority.\n\n\nCOMPENSATION:\n\nBase salary of $215,000-240,000.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"ea3df015-477b-4197-a53f-c44029632a7d","title":"Senior Platform Engineer, Ingestion","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Remote - Europe","secondaryLocations":[],"publishedAt":"2026-06-05T16:16:38.656+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/ea3df015-477b-4197-a53f-c44029632a7d","applyUrl":"https://jobs.ashbyhq.com/langchain/ea3df015-477b-4197-a53f-c44029632a7d/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.
Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient.
Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams.
Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic
Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges
Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention
Many of these will apply to you — we don't expect every box checked.
Platform engineering: hands-on experience designing and running data-intensive systems at scale
Developer experience: a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using
Database expertise: production experience with OSS datastores (PostgreSQL, Redis)
Backend languages: Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript.
Infrastructure expertise: solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS)
Observability mastery: hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar)
Operational mindset and high agency: \"you build it, you run it, you own it,\" with a focus on sustainable practices
Experience: 5+ years building and operating production systems, developer-facing APIs, or both
Strong experience with Java
Knowledge of columnar file, memory formats and OLAP databases
Background in high-growth startups
Location: This role is fully remote within Europe, excluding France.
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
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nTHIS ROLE SITS AT THE CORE OF LANGSMITH: YOU'LL OWN THE INGESTION SYSTEMS, QUERY SYSTEMS, AND THE API, SDK, AND CLI SURFACES THAT THOUSANDS OF DEVELOPMENT TEAMS USE EVERY DAY. YOU'LL WORK AT THE INTERSECTION OF DISTRIBUTED SYSTEMS AND DEVELOPER EXPERIENCE, ON INFRASTRUCTURE THAT TEAMS ACROSS THE INDUSTRY DEPEND ON.\n\nWHAT YOU'LL DO:\n\n - Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB https://www.langchain.com/blog/introducing-smithdb, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient.\n\n - Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams.\n\n - Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic\n\n - Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges\n\n - Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE:\n\nMany of these will apply to you — we don't expect every box checked.\n\n - Platform engineering: hands-on experience designing and running data-intensive systems at scale\n\n - Developer experience: a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using\n\n - Database expertise: production experience with OSS datastores (PostgreSQL, Redis)\n\n - Backend languages: Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript.\n\n - Infrastructure expertise: solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS)\n\n - Observability mastery: hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar)\n\n - Operational mindset and high agency: \"you build it, you run it, you own it,\" with a focus on sustainable practices\n\n\nNICE TO HAVE:\n\n - Experience: 5+ years building and operating production systems, developer-facing APIs, or both\n\n - Strong experience with Java\n\n - Knowledge of columnar file, memory formats and OLAP databases\n\n - Background in high-growth startups\n\nLocation: This role is fully remote within Europe, excluding France.\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\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"5ac59bcb-0245-4a82-bab0-0ebdeae07ccd","title":"Product Manager, Fleet","department":"Product","team":"Product","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-25T16:32:56.777+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/5ac59bcb-0245-4a82-bab0-0ebdeae07ccd","applyUrl":"https://jobs.ashbyhq.com/langchain/5ac59bcb-0245-4a82-bab0-0ebdeae07ccd/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 Fleet, our product for bringing agents to every team in an organization. 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.
Fleet enables anyone to build, use, and manage agents with natural language — while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity.
You'll partner with engineers to build features that feel intuitive while solving deeply technical problems.
Own the roadmap for a core area of the Fleet.
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
Hands-on experience building with LLMs, agents, or AI applications.
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.
Annual salary range: $180,000-$215,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 Fleet, our product for bringing agents to every team in an organization. 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\nFleet enables anyone to build, use, and manage agents with natural language — while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity.\n\n \n\n\nWHAT YOU'LL DO\n\nYou'll partner with engineers to build features that feel intuitive while solving deeply technical problems.\n\n - Own the roadmap for a core area of the Fleet.\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\n\n - Hands-on experience building with LLMs, agents, or AI applications.\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 \n\n - Annual salary range: $180,000-$215,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 Fullstack 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, San Francisco, or Boston.
What you'll do
Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
Build flexible experimentation systems and processes capable of targeting diverse growth metrics
Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
Design and ship new onboarding features and improvements that accelerate time to value
Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs
Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities
What you'll bring
Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
Strong product intuition and a track record of working on monetization, pricing, or activation features
Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
Self-directed with an ownership mindset
Bonus: Experience building for developers or product-led growth platforms
Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
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. 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.
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, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - 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. 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\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":"f910bef0-83c0-4bce-b617-a04117874729","title":"Security Compliance Analyst, Privacy","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":"2026-06-10T23:33:19.167+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f910bef0-83c0-4bce-b617-a04117874729","applyUrl":"https://jobs.ashbyhq.com/langchain/f910bef0-83c0-4bce-b617-a04117874729/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 at LangChain treats compliance as a business enabler, not a checkbox. We move fast, build customer trust across regulated industries, and are actively rethinking what modern security compliance looks like at an AI-native company. We are a small team that operates nothing like a traditional compliance function, still deep in the work of building controls, implementing frameworks, and pushing the business forward on security.
You'll play a central role in building and scaling LangChain's privacy compliance program, developing the processes, technical controls, and automation that back our commitments to customers, partners, and regulators. You'll maintain and grow our SOC 2, ISO 27001, and privacy programs while taking primary ownership of our privacy framework across multiple cloud environments, deployment models, and geographies. We are looking to hire in-person in SF or NY.
Build and automate our compliance operations layer, including evidence pipelines, control monitoring, and agentic systems for always-on visibility into our compliance posture.
Work directly with Engineering to embed security and privacy controls into our products, including deletion pipelines, PII detection, access audit logging, and fine-grained data access controls.
Maintain and scale our certification and audit programs across SOC 2, ISO 27001, ISO 27701, ISO 42001, HIPAA, GDPR, CCPA, EU-US Data Privacy Framework, and others. Drive audit readiness, identify overlapping requirements, and reuse evidence across frameworks to continuously strengthen our security story.
Partner with Legal on security and privacy contract execution, covering DPAs, BAAs, security addenda, and vendor terms. Build the templates, playbooks, and review processes that enable fast, reliable execution in regulated verticals and unblock enterprise sales.
Monitor adherence to security and privacy contractual obligations across all signed agreements, building the operational workflows and tracking mechanisms to stay on top of commitments as our customer base grows.
Contribute to LangChain's customer trust program — security questionnaire responses, due-diligence reviews, and the trust documentation and whitepapers that give regulated-industry customers confidence in our security posture.
Support vendor privacy risk assessments during onboarding and renewals.
5+ years in privacy, GRC, or security compliance, ideally with time at a Big 4 or advisory firm, or in-house at a high-growth tech company.
Hands-on operational experience with privacy regulations and compliance frameworks (GDPR, HIPAA, CCPA, ISO 27001, ISO 27701, SOC 2), including controls mapping, audit support, and day-to-day program operations.
Experience with DPAs and BAAs: reviewing, negotiating, or operationalizing them in a commercial context.
Technical fluency: comfortable reading code, understanding data flows, validating that controls work as described, and collaborating directly with engineering teams.
Exceptional writer. You'll draft policies, respond to security questionnaires, and translate complex requirements into clear guidance for audiences ranging from engineers to executives.
Background in a regulated industry (healthcare, finance, government) or working directly with regulated-industry customers.
Experience working across multi-cloud deployment environments.
Ability to write scripts or code (Python is a strong plus) to automate compliance checks, privacy workflows, or build integrations between security and compliance tooling.
Relevant certifications such as CIPM, CIPP/E, CIPP/US, CISA, CISSP, ISO 27001 Lead Implementer, or ISO 27701 Lead Implementer.
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. 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.
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 Security team at LangChain treats compliance as a business enabler, not a checkbox. We move fast, build customer trust across regulated industries, and are actively rethinking what modern security compliance looks like at an AI-native company. We are a small team that operates nothing like a traditional compliance function, still deep in the work of building controls, implementing frameworks, and pushing the business forward on security.\n\n \n\n\nABOUT THE ROLE\n\nYou'll play a central role in building and scaling LangChain's privacy compliance program, developing the processes, technical controls, and automation that back our commitments to customers, partners, and regulators. You'll maintain and grow our SOC 2, ISO 27001, and privacy programs while taking primary ownership of our privacy framework across multiple cloud environments, deployment models, and geographies. We are looking to hire in-person in SF or NY.\n\n \n\n\nWHAT YOU'LL DO\n\n - Build and automate our compliance operations layer, including evidence pipelines, control monitoring, and agentic systems for always-on visibility into our compliance posture.\n\n - Work directly with Engineering to embed security and privacy controls into our products, including deletion pipelines, PII detection, access audit logging, and fine-grained data access controls.\n\n - Maintain and scale our certification and audit programs across SOC 2, ISO 27001, ISO 27701, ISO 42001, HIPAA, GDPR, CCPA, EU-US Data Privacy Framework, and others. Drive audit readiness, identify overlapping requirements, and reuse evidence across frameworks to continuously strengthen our security story.\n\n - Partner with Legal on security and privacy contract execution, covering DPAs, BAAs, security addenda, and vendor terms. Build the templates, playbooks, and review processes that enable fast, reliable execution in regulated verticals and unblock enterprise sales.\n\n - Monitor adherence to security and privacy contractual obligations across all signed agreements, building the operational workflows and tracking mechanisms to stay on top of commitments as our customer base grows.\n\n - Contribute to LangChain's customer trust program — security questionnaire responses, due-diligence reviews, and the trust documentation and whitepapers that give regulated-industry customers confidence in our security posture.\n\n - Support vendor privacy risk assessments during onboarding and renewals.\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years in privacy, GRC, or security compliance, ideally with time at a Big 4 or advisory firm, or in-house at a high-growth tech company.\n\n - Hands-on operational experience with privacy regulations and compliance frameworks (GDPR, HIPAA, CCPA, ISO 27001, ISO 27701, SOC 2), including controls mapping, audit support, and day-to-day program operations.\n\n - Experience with DPAs and BAAs: reviewing, negotiating, or operationalizing them in a commercial context.\n\n - Technical fluency: comfortable reading code, understanding data flows, validating that controls work as described, and collaborating directly with engineering teams.\n\n - Exceptional writer. You'll draft policies, respond to security questionnaires, and translate complex requirements into clear guidance for audiences ranging from engineers to executives.\n \n \n\n\nNICE TO HAVE\n\n - Background in a regulated industry (healthcare, finance, government) or working directly with regulated-industry customers.\n\n - Experience working across multi-cloud deployment environments.\n\n - Ability to write scripts or code (Python is a strong plus) to automate compliance checks, privacy workflows, or build integrations between security and compliance tooling.\n\n - Relevant certifications such as CIPM, CIPP/E, CIPP/US, CISA, CISSP, ISO 27001 Lead Implementer, or ISO 27701 Lead Implementer.\n \n \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. 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\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":"f166d46a-de9a-4c60-a275-496359dd650e","title":"Head of People Operations","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-11T20:40:10.735+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f166d46a-de9a-4c60-a275-496359dd650e","applyUrl":"https://jobs.ashbyhq.com/langchain/f166d46a-de9a-4c60-a275-496359dd650e/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 fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward.
We're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention.
You'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role.
San Francisco, CA; New York, NY; open to remote
Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to.
Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it.
Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it.
Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one.
Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management.
Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect.
Own employee relations and accommodations. Handle ER matters with appropriate confidentiality, consistency, and documentation. Own the accommodations process end-to-end. You know when to resolve internally, when to escalate, and when to loop in counsel.
Contribute to People data and reporting. Own headcount data integrity in Rippling and contribute to the People analytics layer: turnover reporting, onboarding metrics, and the operational data that informs People strategy.
Evaluate and govern AI tools used in People Ops. As we deploy AI-assisted workflows across the function — from onboarding automation to compliance tooling — you'll be the operational owner who assesses accuracy, data handling, fairness, and auditability. You bring a thoughtful lens to where AI adds leverage and where human judgment is non-negotiable.
Support SOC2 and audit readiness. Serve as the People Ops owner for SOC2 and related compliance audits — documenting people-related controls, ensuring they're tested, and maintaining readiness as we scale.
Build a small team as we grow. You may hire 1-2 People Ops coordinators (FTE or contractor) over time. You know how to give people the torch and get out of their way.
8+ years in People Ops or HR Operations, with meaningful time owning a People Ops function at a high-growth technology company through a significant scale-up phase
Deep, hands-on Rippling experience — workflow config, data integrity, reporting, onboarding flows. Not \"familiar with it\"
Global employment experience across multiple regions — EoR coordination (Rippling Global, Multiplier, Remote, Deel, or similar), international contractor structuring, and cross-border compliance across US, UK, EU, APAC, or LATAM
Built automations and workflows yourself — you've shipped something using Zapier, Make, or an LLM-assisted workflow. You don't just have ideas; you have receipts
Strong working knowledge of California employment law and multi-state compliance, including leave administration, accommodations, and contractor classification
Proven track record building compliance and policy infrastructure from near-zero, including leave frameworks, employment policies, and handbook governance
Benefits administration and vendor management experience — brokers, carriers, EoR providers, background check vendors, and similar
Comfort operating at multiple altitudes — you can advise the VP of People on policy architecture in the morning and fix a broken Rippling workflow in the afternoon
High ownership orientation — you treat the function like it's yours, because it is
AI tool fluency — you actively use AI tools in your work, have an opinion on where they add leverage in People Ops, and bring appropriate judgment to their governance
Strong signal:
Experience at a high-growth AI or developer tools company
Have used or experimented with LangChain, LangSmith, or LangGraph
Have an opinion on what an AI-native People Ops function looks like — and have started building one
Experience standing up STD/LTD, 401(k) match, or similar benefits programs from scratch
Direct experience engaging outside employment counsel on policy or ER matters
SOC2 or similar compliance audit experience on the People side
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan with employer match, phone and wellness stipends, 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.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward.\n\nWe're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention.\n\nYou'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role.\n\n\nLOCATION/CITY:\n\nSan Francisco, CA; New York, NY; open to remote\n\n\nRESPONSIBILITIES:\n\n - Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to.\n\n - Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it.\n\n - Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it.\n\n - Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one.\n\n - Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management.\n\n - Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect.\n\n - Own employee relations and accommodations. Handle ER matters with appropriate confidentiality, consistency, and documentation. Own the accommodations process end-to-end. You know when to resolve internally, when to escalate, and when to loop in counsel.\n\n - Contribute to People data and reporting. Own headcount data integrity in Rippling and contribute to the People analytics layer: turnover reporting, onboarding metrics, and the operational data that informs People strategy.\n\n - Evaluate and govern AI tools used in People Ops. As we deploy AI-assisted workflows across the function — from onboarding automation to compliance tooling — you'll be the operational owner who assesses accuracy, data handling, fairness, and auditability. You bring a thoughtful lens to where AI adds leverage and where human judgment is non-negotiable.\n\n - Support SOC2 and audit readiness. Serve as the People Ops owner for SOC2 and related compliance audits — documenting people-related controls, ensuring they're tested, and maintaining readiness as we scale.\n\n - Build a small team as we grow. You may hire 1-2 People Ops coordinators (FTE or contractor) over time. You know how to give people the torch and get out of their way.\n\n\nREQUIREMENTS:\n\n - 8+ years in People Ops or HR Operations, with meaningful time owning a People Ops function at a high-growth technology company through a significant scale-up phase\n\n - Deep, hands-on Rippling experience — workflow config, data integrity, reporting, onboarding flows. Not \"familiar with it\"\n\n - Global employment experience across multiple regions — EoR coordination (Rippling Global, Multiplier, Remote, Deel, or similar), international contractor structuring, and cross-border compliance across US, UK, EU, APAC, or LATAM\n\n - Built automations and workflows yourself — you've shipped something using Zapier, Make, or an LLM-assisted workflow. You don't just have ideas; you have receipts\n\n - Strong working knowledge of California employment law and multi-state compliance, including leave administration, accommodations, and contractor classification\n\n - Proven track record building compliance and policy infrastructure from near-zero, including leave frameworks, employment policies, and handbook governance\n\n - Benefits administration and vendor management experience — brokers, carriers, EoR providers, background check vendors, and similar\n\n - Comfort operating at multiple altitudes — you can advise the VP of People on policy architecture in the morning and fix a broken Rippling workflow in the afternoon\n\n - High ownership orientation — you treat the function like it's yours, because it is\n\n - AI tool fluency — you actively use AI tools in your work, have an opinion on where they add leverage in People Ops, and bring appropriate judgment to their governance\n\nStrong signal:\n\n - Experience at a high-growth AI or developer tools company\n\n - Have used or experimented with LangChain, LangSmith, or LangGraph\n\n - Have an opinion on what an AI-native People Ops function looks like — and have started building one\n\n - Experience standing up STD/LTD, 401(k) match, or similar benefits programs from scratch\n\n - Direct experience engaging outside employment counsel on policy or ER matters\n\n - SOC2 or similar compliance audit experience on the People side\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 with employer match, phone and wellness stipends, 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\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"aa54089b-56df-4795-bb86-83f5ca2359ca","title":"Content Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-30T15:34:20.652+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/aa54089b-56df-4795-bb86-83f5ca2359ca","applyUrl":"https://jobs.ashbyhq.com/langchain/aa54089b-56df-4795-bb86-83f5ca2359ca/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: San Francisco, CA, New York, NY, or Remote
We're looking for a Content Lead to build and scale LangChain's content practice. In this player/coach role, you'll drive our strategic content direction while managing and mentoring a Content Marketer. You'll lead the vision for how we reach, educate, and deepen engagement with our developer community—from blog and thought leadership to flagship initiatives. Beyond execution, you'll build the processes, standards, and team capabilities that allow us to produce high-quality, high-velocity content as we scale.
This is a high-impact role with real ownership. You'll shape LangChain's voice in the developer community and set the editorial bar for technical quality. You'll stay hands-on with our most critical content initiatives while empowering your team to own end-to-end projects. You'll partner closely with education, engineering, product, and marketing to surface the most important stories and ensure our work reaches the right audiences through the right channels.
You should be comfortable moving between big-picture strategy and hands-on execution—deciding what we publish and why, while also writing and editing key pieces and iterating on quality. You'll define our editorial direction and content roadmap, build scalable workflows and standards, mentor your team on both craft and strategy, own flagship projects like the State of Agents report, and collaborate with our SEO agency on SEO efforts.
Build and mentor your content team: Hire, onboard, and develop a high-performing Content Marketing team. Provide regular feedback, coach them toward strategic thinking, delegate ownership of key initiatives, and create growth opportunities. Set clear expectations, establish editorial standards, and empower your team to ship great content independently.
Define content strategy and roadmap: Develop and execute the strategic vision for LangChain's content, identifying key themes, audience segments, and content opportunities that drive business goals. Create a rolling editorial calendar that aligns with product launches, market moments, and developer needs.
Lead flagship content initiatives: Drive industry-defining thought leadership pieces like the State of Agents report. Work with internal subject matter experts to produce authoritative, data-driven content that shapes industry conversation.
Own blog performance and organic growth: Drive organic web traffic through exceptional content strategy and execution. Own blog metrics including traffic, engagement, and conversion. Work with your team to ideate, execute, and iterate on content that resonates with developers.
Write and edit high-impact content: Create and edit strategic blog posts, thought leadership pieces, and long-form content. Stay hands-on with our most important pieces to maintain voice, quality, and technical accuracy. Model excellent writing and editing for your team.
Expand SEO & AEO investments: Strengthen our SEO program by collaborating with our SEO agency to shape strategy, identify high-impact opportunities, and prioritize content initiatives. Work with your team to implement SEO best practices across all output.
Set content quality standards and build scalable systems: Establish and evolve editorial guidelines, voice standards, and quality frameworks. Create content processes and workflows that enable high-quality, high-velocity output without sacrificing rigor. Enable your team to work efficiently while maintaining excellence.
Enable cross-functional content creation: Lead partnerships across education, engineering, and marketing. Develop content frameworks and workflows that empower other teams to create high-quality strategic content. Source technical expertise and translate complex ideas into clear narratives.
Measure impact and optimize: Define success metrics, track content performance across channels, and use data to refine strategy. Share insights and recommendations with leadership and cross-functional partners to improve reach, engagement, and conversion.
Experience: Experience in content marketing, editorial, product marketing, or related roles at developer-focused or technical product companies. 1+ years of managing or mentoring individual contributors preferred. Track record of building and scaling content functions.
Leadership and mentorship: Natural ability to develop people. You give thoughtful feedback, delegate with clarity, and help teammates grow into more strategic, independent contributors. You set high standards and model the behavior you expect.
Exceptional writing and editing: Outstanding ability to write clear, compelling, technically accurate content for developer audiences. Strong editorial judgment, attention to detail, and a distinctive point of view on what makes content great.
Strategic thinking: Ability to see the big picture—how content serves business goals and drives adoption. You think in terms of content systems, not just individual pieces. You prioritize ruthlessly based on impact.
SEO expertise: Proven track record of driving organic traffic growth through SEO-optimized content. Experience working with SEO tools and agencies to implement successful strategies.
Technical acumen: Ability to understand and communicate complex technical concepts to developer audiences. Bonus if you're familiar with LangChain, LangSmith, and/or AI/ML concepts.
Data-driven mindset: Strong analytical skills with experience tracking content metrics, A/B testing, and using insights to optimize strategy and prove ROI.
Cross-functional collaboration: Excellent communication and partnership skills. You work effectively with engineering, education, product, and marketing teams. You're comfortable advocating for your vision while staying flexible.
Ownership mentality: You're a self-starter who thrives in ambiguity, takes initiative, and drives results with minimal direction. You care deeply about developer satisfaction and community impact.
Builder mentality: You're scrappy and hands-on. You're willing to do what it takes to ship great content, iterate quickly, and systematize as you scale.
Point of view on AI: Thoughtful perspective on where AI enhances the content creation process and where human judgment is essential for quality and authenticity.
Salary range: $210,000 - $220,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nLocation: San Francisco, CA, New York, NY, or Remote\n\nWe're looking for a Content Lead to build and scale LangChain's content practice. In this player/coach role, you'll drive our strategic content direction while managing and mentoring a Content Marketer. You'll lead the vision for how we reach, educate, and deepen engagement with our developer community—from blog and thought leadership to flagship initiatives. Beyond execution, you'll build the processes, standards, and team capabilities that allow us to produce high-quality, high-velocity content as we scale.\n\nThis is a high-impact role with real ownership. You'll shape LangChain's voice in the developer community and set the editorial bar for technical quality. You'll stay hands-on with our most critical content initiatives while empowering your team to own end-to-end projects. You'll partner closely with education, engineering, product, and marketing to surface the most important stories and ensure our work reaches the right audiences through the right channels.\n\nYou should be comfortable moving between big-picture strategy and hands-on execution—deciding what we publish and why, while also writing and editing key pieces and iterating on quality. You'll define our editorial direction and content roadmap, build scalable workflows and standards, mentor your team on both craft and strategy, own flagship projects like the State of Agents report, and collaborate with our SEO agency on SEO efforts.\n\n\n\n\nWHAT YOU'LL DO\n\nBuild and mentor your content team: Hire, onboard, and develop a high-performing Content Marketing team. Provide regular feedback, coach them toward strategic thinking, delegate ownership of key initiatives, and create growth opportunities. Set clear expectations, establish editorial standards, and empower your team to ship great content independently.\n\nDefine content strategy and roadmap: Develop and execute the strategic vision for LangChain's content, identifying key themes, audience segments, and content opportunities that drive business goals. Create a rolling editorial calendar that aligns with product launches, market moments, and developer needs.\n\nLead flagship content initiatives: Drive industry-defining thought leadership pieces like the State of Agents report. Work with internal subject matter experts to produce authoritative, data-driven content that shapes industry conversation.\n\nOwn blog performance and organic growth: Drive organic web traffic through exceptional content strategy and execution. Own blog metrics including traffic, engagement, and conversion. Work with your team to ideate, execute, and iterate on content that resonates with developers.\n\nWrite and edit high-impact content: Create and edit strategic blog posts, thought leadership pieces, and long-form content. Stay hands-on with our most important pieces to maintain voice, quality, and technical accuracy. Model excellent writing and editing for your team.\n\nExpand SEO & AEO investments: Strengthen our SEO program by collaborating with our SEO agency to shape strategy, identify high-impact opportunities, and prioritize content initiatives. Work with your team to implement SEO best practices across all output.\n\nSet content quality standards and build scalable systems: Establish and evolve editorial guidelines, voice standards, and quality frameworks. Create content processes and workflows that enable high-quality, high-velocity output without sacrificing rigor. Enable your team to work efficiently while maintaining excellence.\n\nEnable cross-functional content creation: Lead partnerships across education, engineering, and marketing. Develop content frameworks and workflows that empower other teams to create high-quality strategic content. Source technical expertise and translate complex ideas into clear narratives.\n\nMeasure impact and optimize: Define success metrics, track content performance across channels, and use data to refine strategy. Share insights and recommendations with leadership and cross-functional partners to improve reach, engagement, and conversion.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nExperience: Experience in content marketing, editorial, product marketing, or related roles at developer-focused or technical product companies. 1+ years of managing or mentoring individual contributors preferred. Track record of building and scaling content functions.\n\nLeadership and mentorship: Natural ability to develop people. You give thoughtful feedback, delegate with clarity, and help teammates grow into more strategic, independent contributors. You set high standards and model the behavior you expect.\n\nExceptional writing and editing: Outstanding ability to write clear, compelling, technically accurate content for developer audiences. Strong editorial judgment, attention to detail, and a distinctive point of view on what makes content great.\n\nStrategic thinking: Ability to see the big picture—how content serves business goals and drives adoption. You think in terms of content systems, not just individual pieces. You prioritize ruthlessly based on impact.\n\nSEO expertise: Proven track record of driving organic traffic growth through SEO-optimized content. Experience working with SEO tools and agencies to implement successful strategies.\n\nTechnical acumen: Ability to understand and communicate complex technical concepts to developer audiences. Bonus if you're familiar with LangChain, LangSmith, and/or AI/ML concepts.\n\nData-driven mindset: Strong analytical skills with experience tracking content metrics, A/B testing, and using insights to optimize strategy and prove ROI.\n\nCross-functional collaboration: Excellent communication and partnership skills. You work effectively with engineering, education, product, and marketing teams. You're comfortable advocating for your vision while staying flexible.\n\nOwnership mentality: You're a self-starter who thrives in ambiguity, takes initiative, and drives results with minimal direction. You care deeply about developer satisfaction and community impact.\n\nBuilder mentality: You're scrappy and hands-on. You're willing to do what it takes to ship great content, iterate quickly, and systematize as you scale.\n\nPoint of view on AI: Thoughtful perspective on where AI enhances the content creation process and where human judgment is essential for quality and authenticity.\n\nSalary range: $210,000 - $220,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"8887b066-91bf-4a90-a769-1e021c366ecc","title":"System Integrator Alliance Manager","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-22T03:31:18.278+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8887b066-91bf-4a90-a769-1e021c366ecc","applyUrl":"https://jobs.ashbyhq.com/langchain/8887b066-91bf-4a90-a769-1e021c366ecc/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's platform is increasingly at the center of enterprise AI agent deployments — and a growing share of those deployments are built and delivered by system integrators (SIs). Your job is to make sure the SIs building on LangChain are set up to win: technically capable, commercially aligned, and positioned to grow their LangChain practices.
This isn't a traditional channel role. The best SIs in this space move fast, operate closer to engineering teams than procurement, and care more about building real differentiation than logo badges. You'll need to meet them there.
SIs are building AI practices right now — and they're making stack decisions that will compound over the next several years. LangChain has strong product and community traction, but converting that into structured SI partnerships requires someone who can:
Build relationships with the practitioners doing the actual work (architects, delivery leads, practice heads), not just executive sponsors
Help SI teams go deeper on LangChain technically — running enablement sessions, connecting them to the right internal resources, and making sure they can actually deliver
Create and close co-sell motions with SIs on active enterprise opportunities
Build joint go-to-market programs that make sense for how SIs actually run their business
If you've sold or partnered through SIs before, you know the difference between a partnership on paper and one that drives real pipeline. We want someone who knows how to build the latter.
Build and manage a portfolio of SI partnerships — from global SIs and consultancies to regional & boutique specialists
Run joint pipeline with SI partners: co-selling on active deals, running QBRs, tracking attribution
Design and deliver partner enablement: certifications, training, delivery playbooks, and technical workshops
Work with our solutions engineering and product teams to get partners unblocked on technical questions
Represent partner perspective internally — surfacing what SIs need in terms of product capabilities, support, and commercial terms
Develop co-marketing and thought leadership programs with key partners
Must-haves:
5+ years in alliance management, partner sales, or business development — with direct experience working with SIs, GSIs, or consultancies
Genuine technical fluency in AI or developer tooling. You don't need to write production code, but you need to credibly discuss LLMs, agent architectures, and developer workflows
Track record of building SI partnerships, from the ground up, that drove measurable pipeline, not just signed agreements
Ability to manage relationships across multiple levels simultaneously — from engineers to practice heads to C-suite
Nice-to-haves:
Experience at a developer tools or AI/ML infrastructure company
Existing relationships at major SIs or management consultancies with active AI practices
Familiarity with LangChain, LangGraph, or LangSmith — you've built with it, seen it deployed, or worked with teams using it
LangChain is the open-source framework most teams reach for when they're building serious AI applications. We're a small team moving quickly, and this role has a real chance to shape how the SI ecosystem builds on top of what we're building. If that sounds like the right kind of problem, we'd like to talk.
Annual salary range: $165,000 -$230,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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\nWHAT YOU'LL DO\n\nLangChain's platform is increasingly at the center of enterprise AI agent deployments — and a growing share of those deployments are built and delivered by system integrators (SIs). Your job is to make sure the SIs building on LangChain are set up to win: technically capable, commercially aligned, and positioned to grow their LangChain practices.\n\nThis isn't a traditional channel role. The best SIs in this space move fast, operate closer to engineering teams than procurement, and care more about building real differentiation than logo badges. You'll need to meet them there.\n\n\n\n\nTHE PROBLEMS YOU'LL BE SOLVING\n\nSIs are building AI practices right now — and they're making stack decisions that will compound over the next several years. LangChain has strong product and community traction, but converting that into structured SI partnerships requires someone who can:\n\n - Build relationships with the practitioners doing the actual work (architects, delivery leads, practice heads), not just executive sponsors\n\n - Help SI teams go deeper on LangChain technically — running enablement sessions, connecting them to the right internal resources, and making sure they can actually deliver\n\n - Create and close co-sell motions with SIs on active enterprise opportunities\n\n - Build joint go-to-market programs that make sense for how SIs actually run their business\n\nIf you've sold or partnered through SIs before, you know the difference between a partnership on paper and one that drives real pipeline. We want someone who knows how to build the latter.\n\n\n\n\nWHAT YOU'LL OWN\n\n - Build and manage a portfolio of SI partnerships — from global SIs and consultancies to regional & boutique specialists\n\n - Run joint pipeline with SI partners: co-selling on active deals, running QBRs, tracking attribution\n\n - Design and deliver partner enablement: certifications, training, delivery playbooks, and technical workshops\n\n - Work with our solutions engineering and product teams to get partners unblocked on technical questions\n\n - Represent partner perspective internally — surfacing what SIs need in terms of product capabilities, support, and commercial terms\n\n - Develop co-marketing and thought leadership programs with key partners\n\n\nWHAT WE'RE LOOKING FOR\n\nMust-haves:\n\n - 5+ years in alliance management, partner sales, or business development — with direct experience working with SIs, GSIs, or consultancies\n\n - Genuine technical fluency in AI or developer tooling. You don't need to write production code, but you need to credibly discuss LLMs, agent architectures, and developer workflows\n\n - Track record of building SI partnerships, from the ground up, that drove measurable pipeline, not just signed agreements\n\n - Ability to manage relationships across multiple levels simultaneously — from engineers to practice heads to C-suite\n\nNice-to-haves:\n\n - Experience at a developer tools or AI/ML infrastructure company\n\n - Existing relationships at major SIs or management consultancies with active AI practices\n\n - Familiarity with LangChain, LangGraph, or LangSmith — you've built with it, seen it deployed, or worked with teams using it\n\nLangChain is the open-source framework most teams reach for when they're building serious AI applications. We're a small team moving quickly, and this role has a real chance to shape how the SI ecosystem builds on top of what we're building. If that sounds like the right kind of problem, we'd like to talk.\n\n\n\n\nCOMPENSATION AND BENEFITS\n\n - Annual salary range: $165,000 -$230,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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":"3d1ed774-f5cb-48de-8659-b1e2e5c8cc9c","title":"Technical Docs Writer ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-06-24T20:20:56.046+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/3d1ed774-f5cb-48de-8659-b1e2e5c8cc9c","applyUrl":"https://jobs.ashbyhq.com/langchain/3d1ed774-f5cb-48de-8659-b1e2e5c8cc9c/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 seeking a detail-oriented Technical Docs Writer who can take complex technical concepts and transform them into easily understandable, user-friendly developer documentation. As the company is growing, your contributions will have a significant impact on the way our products are communicated, both in the enterprise and open source community. You’ll work closely with our engineering, product, and customer support teams to produce documentation that supports our developers, customers, and partners.
Product Documentation: Write and maintain user guides, API documentation, technical specifications, and other product-related content.
Collaborate with Teams: Partner with engineers, product managers, and designers to gather information and ensure accurate documentation of features and updates.
Improve Documentation Standards: Help establish and improve documentation processes and best practices across the company.
User-Centered Writing: Write clear, concise, and accurate documentation aimed at various audiences, from developers to non-technical users. Ability to maintain a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules.
Content Review: Edit and review documentation produced by other team members to ensure clarity, accuracy, and consistency.
Continuous Improvement: Continuously update and improve documentation as new product features are developed or existing ones are updated.
How to be successful in this role
Experience: 5+ years of experience in technical writing
Writing Skills: Exceptional writing and editing skills with the ability to simplify complex technical concepts. Experience with docs as code.
Technical Knowledge: A basic understanding of software development, APIs, and web technologies. Familiarity with common programming languages and development tools is a plus.
Collaboration: Strong communication skills and the ability to work cross-functionally with engineers, product managers, and other stakeholders.
Tools: Experience with documentation tools such as Markdown, Confluence, GitHub, or similar platforms. Familiarity with version control systems is a plus.
Attention to Detail: High attention to detail, ability to manage multiple tasks, and meet deadlines in a fast-paced, dynamic environment.
Bonus: Experience in a startup environment or at a Series A/B tech company is a plus.
Compensation
Annual salary range: $115,000 - $170,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 seeking a detail-oriented Technical Docs Writer who can take complex technical concepts and transform them into easily understandable, user-friendly developer documentation. As the company is growing, your contributions will have a significant impact on the way our products are communicated, both in the enterprise and open source community. You’ll work closely with our engineering, product, and customer support teams to produce documentation that supports our developers, customers, and partners.\n\n - Product Documentation: Write and maintain user guides, API documentation, technical specifications, and other product-related content.\n\n - Collaborate with Teams: Partner with engineers, product managers, and designers to gather information and ensure accurate documentation of features and updates.\n\n - Improve Documentation Standards: Help establish and improve documentation processes and best practices across the company.\n\n - User-Centered Writing: Write clear, concise, and accurate documentation aimed at various audiences, from developers to non-technical users. Ability to maintain a consistent voice, a clear and engaging tone, and a solid grasp of grammar and usage rules.\n\n - Content Review: Edit and review documentation produced by other team members to ensure clarity, accuracy, and consistency.\n\n - Continuous Improvement: Continuously update and improve documentation as new product features are developed or existing ones are updated.\n\nHow to be successful in this role\n\n - Experience: 5+ years of experience in technical writing\n\n - Writing Skills: Exceptional writing and editing skills with the ability to simplify complex technical concepts. Experience with docs as code.\n\n - Technical Knowledge: A basic understanding of software development, APIs, and web technologies. Familiarity with common programming languages and development tools is a plus.\n\n - Collaboration: Strong communication skills and the ability to work cross-functionally with engineers, product managers, and other stakeholders.\n\n - Tools: Experience with documentation tools such as Markdown, Confluence, GitHub, or similar platforms. Familiarity with version control systems is a plus.\n\n - Attention to Detail: High attention to detail, ability to manage multiple tasks, and meet deadlines in a fast-paced, dynamic environment.\n\n - Bonus: Experience in a startup environment or at a Series A/B tech company is a plus.\n\nCompensation\n\n - Annual salary range: $115,000 - $170,000\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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 Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-07-10T14:49:10.376+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/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 New York. 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
4+ 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: $120,000-$150,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
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 New York. 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 - 4+ 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: $120,000-$150,00 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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\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"}