About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the Role:
As a Product Manager on the database team, you will work closely with the Product and Engineering teams at Pinecone to define the next generation of vector database capabilities. You will drive the strategy and roadmap for core database capabilities to make transformative improvements to performance, scalability, efficiency, and search quality.
The ideal candidate is passionate about understanding developer needs of building AI applications in a highly dynamic and evolving AI landscape. Your role is to deeply empathize with AI developers and to define database requirements that meet their needs, and to work with engineering to build and ship these capabilities. You will bring a sense of ownership, accountability, and entrepreneurship to your objective of driving database adoption.
Responsibilities:
Spearhead the development of core database capabilities from concept through launch, ensuring high quality execution and alignment with the company’s strategic vision.
Collaborate cross-functionally with engineering, marketing, sales, and customer success teams to ensure high quality execution, cohesive product messaging, and effective go-to-market strategies.
Collect user feedback to inform product strategy and identify new opportunities for innovation.
Define and prioritize product requirements based on target user personas and market research
Forecast timelines and communicate product strategy and deliverables to company leadership
Requirements:
7+ years experience in product management of technical products with at least 3 years working on highly technical SaaS or cloud infrastructure products.
BS/MS/PhD in Computer Science or related technical field
Strong empirical, data-driven approach to deployment and decision-making.
Bonus Points:
Demonstrated success in an unstructured environment
A passion for databases and/or search
Experience in a customer-facing role
Experience building cloud software infrastructure
Perks & Benefits:
Comprehensive health coverage including Medical, Dental, Vision
Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions
Cost-savings on gynecology, fertility, and family-building care
Equity award
401(k)
Flexible time off
Paid parental leave
Annual Department Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"About Pinecone\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.\n\nAbout the Role:\n\nAs a Product Manager on the database team, you will work closely with the Product and Engineering teams at Pinecone to define the next generation of vector database capabilities. You will drive the strategy and roadmap for core database capabilities to make transformative improvements to performance, scalability, efficiency, and search quality. \n\nThe ideal candidate is passionate about understanding developer needs of building AI applications in a highly dynamic and evolving AI landscape. Your role is to deeply empathize with AI developers and to define database requirements that meet their needs, and to work with engineering to build and ship these capabilities. You will bring a sense of ownership, accountability, and entrepreneurship to your objective of driving database adoption.\n\nResponsibilities:\n\n - Spearhead the development of core database capabilities from concept through launch, ensuring high quality execution and alignment with the company’s strategic vision.\n\n - Collaborate cross-functionally with engineering, marketing, sales, and customer success teams to ensure high quality execution, cohesive product messaging, and effective go-to-market strategies.\n\n - Collect user feedback to inform product strategy and identify new opportunities for innovation.\n\n - Define and prioritize product requirements based on target user personas and market research\n\n - Forecast timelines and communicate product strategy and deliverables to company leadership\n\nRequirements:\n\n - 7+ years experience in product management of technical products with at least 3 years working on highly technical SaaS or cloud infrastructure products.\n\n - BS/MS/PhD in Computer Science or related technical field\n\n - Strong empirical, data-driven approach to deployment and decision-making.\n\nBonus Points:\n\n - Demonstrated success in an unstructured environment\n\n - A passion for databases and/or search\n\n - Experience in a customer-facing role\n\n - Experience building cloud software infrastructure\n\nPerks & Benefits:\n\n - Comprehensive health coverage including Medical, Dental, Vision\n\n - Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions\n\n - Cost-savings on gynecology, fertility, and family-building care\n\n - Equity award\n\n - 401(k)\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual Department Retreat\n\n - WFH Equipment Stipend\n\nAll qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"4ef4269b-94c4-4c7c-93ee-15a882caa767","title":"Senior/Staff Software Engineer, Database Team","department":"R&D","team":"R&D","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-03-11T14:29:47.183+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/4ef4269b-94c4-4c7c-93ee-15a882caa767","applyUrl":"https://jobs.ashbyhq.com/pinecone/4ef4269b-94c4-4c7c-93ee-15a882caa767/application","descriptionHtml":"About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the Team and Role:
Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in.
Who we are:
We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care.
We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency.
We believe learning is ongoing and that even the most complex problems can have simple solutions.
What You’ll Do:
Collaborate with teammates to design and build database features that power AI applications.
Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).
Help Pinecone run smoothly on popular cloud providers.
Take ownership of your work and grow your skills every day.
Have fun.
Who You Are:
5+ years of work experience - programming in Rust, Go, C++, or a comparable language.
You’re genuinely curious about distributed systems and eager to dive deep into technical challenges.
You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback.
You’re excited to learn, value constructive feedback, and appreciate mentorship.
Bonus Points:
You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick up new tools quickly.
You’re comfortable thinking in async or multi-threaded environments, or can show you’re ready to learn.
You’ve explored performance tools or have a track record of optimizing code for speed, reliability, or efficiency.
Perks & Benefits:
Comprehensive health coverage (medical, dental, vision, and mental health resources)
401(k) plan
Equity award
Flexible time off
Paid parental leave
Annual company retreat
WFH equipment stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"About Pinecone\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.\n\nAbout the Team and Role:\n\nJoin a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in.\n\nWho we are:\n\n - We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care.\n\n - We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency.\n\n - We believe learning is ongoing and that even the most complex problems can have simple solutions.\n\nWhat You’ll Do:\n\n - Collaborate with teammates to design and build database features that power AI applications.\n\n - Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).\n\n - Help Pinecone run smoothly on popular cloud providers.\n\n - Take ownership of your work and grow your skills every day.\n\n - Have fun.\n\nWho You Are:\n\n - 5+ years of work experience - programming in Rust, Go, C++, or a comparable language.\n\n - You’re genuinely curious about distributed systems and eager to dive deep into technical challenges.\n\n - You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback.\n\n - You’re excited to learn, value constructive feedback, and appreciate mentorship.\n\nBonus Points:\n\n - You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick up new tools quickly.\n\n - You’re comfortable thinking in async or multi-threaded environments, or can show you’re ready to learn.\n\n - You’ve explored performance tools or have a track record of optimizing code for speed, reliability, or efficiency.\n\nPerks & Benefits:\n\n - Comprehensive health coverage (medical, dental, vision, and mental health resources)\n\n - 401(k) plan\n\n - Equity award\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual company retreat\n\n - WFH equipment stipend\n\nAll qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"4433b308-1ff4-4b5f-9184-810e5d9844f6","title":"Developer Advocate ","department":"Marketing","team":"Dev Rel","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-04-20T14:17:16.264+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"US","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/4433b308-1ff4-4b5f-9184-810e5d9844f6","applyUrl":"https://jobs.ashbyhq.com/pinecone/4433b308-1ff4-4b5f-9184-810e5d9844f6/application","descriptionHtml":"Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
We’re hiring a Developer Advocate to own the Pinecone community—online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences.
To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment.
If you’re excited about:
Learning new technologies and helping others succeed with that technology.
Playing a central role in an exciting and rapidly expanding community.
Shaping the course of a fast-growing company and product category.
Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness.
Then we want to talk to you!
Community Programs (Global)
Lead and grow Pinecone’s Discord: drive engagement, improve onboarding, set norms, and keep the space high-signal.
Run recurring office hours that consistently help developers unblock, learn best practices, and ship.
Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs).
Events (SF/Bay Area)
Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events.
Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement.
Technical content + assets
Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases:
RAG systems and retrieval quality
Knowledge management patterns using Assistant and other incubating products
Platform/infra patterns for scale and reliability
Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build.
2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning.
Proficient in 2+ programming languages.
Owned and grown a technical developer community.
Ran in person developer events end to end.
Shipped demos and sample code and taught them clearly.
Strong writing and live speaking and Q&A.
Fluent in LLM apps and RAG and strong API instincts.
Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"ABOUT PINECONE\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.\n\n\nABOUT THE TEAM AND ROLE:\n\nWe’re hiring a Developer Advocate to own the Pinecone community—online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences.\n\nTo succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment.\n\nIf you’re excited about:\n\n - Learning new technologies and helping others succeed with that technology.\n\n - Playing a central role in an exciting and rapidly expanding community.\n\n - Shaping the course of a fast-growing company and product category.\n\n - Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness.\n\nThen we want to talk to you!\n\n\nRESPONSIBILITIES:\n\nCommunity Programs (Global)\n\n - Lead and grow Pinecone’s Discord: drive engagement, improve onboarding, set norms, and keep the space high-signal.\n\n - Run recurring office hours that consistently help developers unblock, learn best practices, and ship.\n\n - Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs).\n\nEvents (SF/Bay Area)\n\n - Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events.\n\n - Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement.\n\nTechnical content + assets\n\n - Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases:\n \n - RAG systems and retrieval quality\n \n - Knowledge management patterns using Assistant and other incubating products\n \n - Platform/infra patterns for scale and reliability\n\n - Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build.\n\n\nREQUIREMENTS:\n\n - 2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning.\n\n - Proficient in 2+ programming languages.\n\n - Owned and grown a technical developer community.\n\n - Ran in person developer events end to end.\n\n - Shipped demos and sample code and taught them clearly.\n\n - Strong writing and live speaking and Q&A.\n\n - Fluent in LLM apps and RAG and strong API instincts.\n\n\nPERKS & BENEFITS:\n\n - Comprehensive health coverage including medical, dental, vision, and mental health resources\n\n - 401(k) Plan\n\n - Equity award\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual Company Retreat\n\n - WFH Equipment Stipend\n\nAll qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"f83ba7a6-da11-421a-ae9e-909d375e2e93","title":"Staff Technical Writer","department":"Product","team":"Product","employmentType":"FullTime","location":"US Remote","secondaryLocations":[],"publishedAt":"2026-05-07T21:40:25.596+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/f83ba7a6-da11-421a-ae9e-909d375e2e93","applyUrl":"https://jobs.ashbyhq.com/pinecone/f83ba7a6-da11-421a-ae9e-909d375e2e93/application","descriptionHtml":"About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the team/role:
As a technical writer at Pinecone, you will apply your technical and writing skills to help engineers discover, explore, and build with vector databases — the next generation of search infrastructure. Documentation contributes significantly to our developers’ experience of the platform, success with using it, and our success as a company, so you will make an immediate impact. You will report to the Head of Documentation and work closely with the Product, Engineering, and Marketing teams.
To succeed in this role, you must have the technical background to learn cutting-edge developer and ML tools quickly. You must be passionate about writing, with a penchant for clarity, accuracy, simplicity, and organization. Our team is growing fast and the customers are growing even faster, so you must be comfortable working with a high degree of autonomy in a fast-paced environment. If this sounds exciting, we want to hear from you!
Responsibilities:
Plan and write documentation for developers, ML engineers, and technical architects of all experience levels: Technical guides, API and client references, walkthroughs, and sample apps.
Contribute to the information architecture and user experience of the developer portal.
Create a maintenance and iterative improvement cycle for our documentation
Collaborate closely with engineering and product on new feature documentation.
Collaborate closely with customer success and developer advocates to understand user needs and address them with documentation.
Collect and use qualitative (eg, user research) and quantitative (eg, analytics) data to help improve the documentation content and user experience.
Requirements:
Experience planning, researching, writing, and editing technical documentation for developers in a startup environment.
Experience using and documenting SDKs, APIs, and similar tools.
Proficiency with static site generators, version control, managing docs as code, OpenAPI, and a docs platform such as Redocly or Readme.
Superb writing skills with an obsession for clarity, accuracy, and simplicity.
Curiosity, thoroughness, organization, enthusiasm, and self-direction.
Preferred but not required:
Experience with databases, machine learning, or search technologies.
Experience creating diagrams and video tutorials.
Perks & Benefits:
Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"About Pinecone\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. \n\nAbout the team/role:\n\nAs a technical writer at Pinecone, you will apply your technical and writing skills to help engineers discover, explore, and build with vector databases — the next generation of search infrastructure. Documentation contributes significantly to our developers’ experience of the platform, success with using it, and our success as a company, so you will make an immediate impact. You will report to the Head of Documentation and work closely with the Product, Engineering, and Marketing teams. \n\nTo succeed in this role, you must have the technical background to learn cutting-edge developer and ML tools quickly. You must be passionate about writing, with a penchant for clarity, accuracy, simplicity, and organization. Our team is growing fast and the customers are growing even faster, so you must be comfortable working with a high degree of autonomy in a fast-paced environment. If this sounds exciting, we want to hear from you!\n\nResponsibilities:\n\n - Plan and write documentation for developers, ML engineers, and technical architects of all experience levels: Technical guides, API and client references, walkthroughs, and sample apps.\n\n - Contribute to the information architecture and user experience of the developer portal.\n\n - Create a maintenance and iterative improvement cycle for our documentation\n\n - Collaborate closely with engineering and product on new feature documentation.\n\n - Collaborate closely with customer success and developer advocates to understand user needs and address them with documentation.\n\n - Collect and use qualitative (eg, user research) and quantitative (eg, analytics) data to help improve the documentation content and user experience.\n\nRequirements:\n\n - Experience planning, researching, writing, and editing technical documentation for developers in a startup environment.\n\n - Experience using and documenting SDKs, APIs, and similar tools.\n\n - Proficiency with static site generators, version control, managing docs as code, OpenAPI, and a docs platform such as Redocly or Readme.\n\n - Superb writing skills with an obsession for clarity, accuracy, and simplicity.\n\n - Curiosity, thoroughness, organization, enthusiasm, and self-direction.\n\n - Preferred but not required:\n \n - Experience with databases, machine learning, or search technologies.\n \n - Experience creating diagrams and video tutorials.\n\nPerks & Benefits:\n\n - Comprehensive health coverage including medical, dental, vision, and mental health resources\n\n - 401(k) Plan\n\n - Equity award\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual Company Retreat\n\n - WFH Equipment Stipend\n\nAll qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"7ef089cb-a721-4ad8-a6d0-c390e64991d2","title":"Senior/Staff Software Engineer, Search & Retrieval Infrastructure","department":"R&D","team":"R&D","employmentType":"FullTime","location":"US Remote","secondaryLocations":[],"publishedAt":"2026-03-23T21:37:11.721+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/7ef089cb-a721-4ad8-a6d0-c390e64991d2","applyUrl":"https://jobs.ashbyhq.com/pinecone/7ef089cb-a721-4ad8-a6d0-c390e64991d2/application","descriptionHtml":"About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the Team and Role:
We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.
Responsibilities:
Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
Design and build optimized indexing pipelines for structured and unstructured data
Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
Improve retrieval quality through evaluation and observability frameworks
Design APIs for internal and external user and agentic consumers
Optimize latency, throughput and cost across large-scale inference and retrieval workloads
Drive technical direction for reliability and security
What You’ll Bring to the Table:
To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.
Systems Expertise
Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.
Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.
AI & Retrieval
Retrieval Intuition: You understand that \"search\" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.
RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.
Technical
Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.
Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.
Ownership & Impact
Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.
Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer \"owning a problem\" over \"executing a ticket.\"
Bonus Points
Experience building multi-tenant SaaS platforms.
Experience with retrieval evaluation frameworks—knowing how to actually measure \"good\" search results.
Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).
Perks & Benefits:
Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"About Pinecone\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.\n\nAbout the Team and Role:\n\nWe are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.\n\nResponsibilities:\n\n - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation\n\n - Design and build optimized indexing pipelines for structured and unstructured data\n\n - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration\n\n - Improve retrieval quality through evaluation and observability frameworks\n\n - Design APIs for internal and external user and agentic consumers\n\n - Optimize latency, throughput and cost across large-scale inference and retrieval workloads\n\n - Drive technical direction for reliability and security\n\nWhat You’ll Bring to the Table:\n\nTo thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.\n\nSystems Expertise\n\n - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.\n\n - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.\n\nAI & Retrieval\n\n - Retrieval Intuition: You understand that \"search\" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.\n\n - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.\n\nTechnical\n\n - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.\n\n - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.\n\nOwnership & Impact\n\n - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.\n\n - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer \"owning a problem\" over \"executing a ticket.\"\n\nBonus Points\n\n - Experience building multi-tenant SaaS platforms.\n\n - Experience with retrieval evaluation frameworks—knowing how to actually measure \"good\" search results.\n\n - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).\n\nPerks & Benefits:\n\n - Comprehensive health coverage including medical, dental, vision, and mental health resources\n\n - 401(k) Plan\n\n - Equity award\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual Company Retreat\n\n - WFH Equipment Stipend\n\nAll qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"773e953d-8f53-4313-93b4-35a553bad1cb","title":"Senior/Staff Software Engineer, Experience Platform","department":"R&D","team":"Experience","employmentType":"FullTime","location":"US Remote","secondaryLocations":[],"publishedAt":"2026-03-25T18:18:42.526+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/773e953d-8f53-4313-93b4-35a553bad1cb","applyUrl":"https://jobs.ashbyhq.com/pinecone/773e953d-8f53-4313-93b4-35a553bad1cb/application","descriptionHtml":"About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the Team and Role:
The Experience Platform team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans.
This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems.
We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working.
Responsibilities:
Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on.
Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it.
Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount.
Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster.
Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time.
Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong.
Requirements:
Senior and Staff Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, agent interfaces, observability, and developer experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box.
You should have:
At least 4 years of software engineering experience
A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease
Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow
Proven ability to design and deliver versioned APIs, SDKs, or client libraries
Proficiency building web interfaces with React or similar
Experience with at least one major cloud provider (AWS, GCP, Azure)
Strong intuition for what makes APIs easy for both humans and agents to use correctly
Bonus points for:
Experience building or consuming MCP servers, or designing APIs explicitly for agent use cases
Familiarity with agentic frameworks and the emerging patterns around tool use, orchestration, and agent-to-agent communication
Strong familiarity with a compiled language like Rust, Go, or Java
Experience with large-scale open-source projects
Experience developing database or query engine SDKs
Perks & Benefits:
Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend
Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
","descriptionPlain":"About Pinecone\n\nPinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.\n\nAbout the Team and Role:\n\nThe Experience Platform team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans.\n\nThis is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems.\n\nWe're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working.\n\nResponsibilities:\n\n - Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on.\n\n - Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it.\n\n - Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount.\n\n - Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster.\n\n - Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time.\n\n - Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong.\n\nRequirements:\n\nSenior and Staff Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, agent interfaces, observability, and developer experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box.\n\nYou should have:\n\n - At least 4 years of software engineering experience\n\n - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease\n\n - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow\n\n - Proven ability to design and deliver versioned APIs, SDKs, or client libraries\n\n - Proficiency building web interfaces with React or similar\n\n - Experience with at least one major cloud provider (AWS, GCP, Azure)\n\n - Strong intuition for what makes APIs easy for both humans and agents to use correctly\n\nBonus points for:\n\n - Experience building or consuming MCP servers, or designing APIs explicitly for agent use cases\n\n - Familiarity with agentic frameworks and the emerging patterns around tool use, orchestration, and agent-to-agent communication\n\n - Strong familiarity with a compiled language like Rust, Go, or Java\n\n - Experience with large-scale open-source projects\n\n - Experience developing database or query engine SDKs\n\nPerks & Benefits:\n\n - Comprehensive health coverage including medical, dental, vision, and mental health resources\n\n - 401(k) Plan\n\n - Equity award\n\n - Flexible time off\n\n - Paid parental leave\n\n - Annual Company Retreat\n\n - WFH Equipment Stipend\n\nDiversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws."},{"id":"499ce77a-7ed0-462e-9efb-3e7dad6cd5ad","title":"Senior/Staff Software Engineer, Search & Retrieval Infrastructure","department":"R&D","team":"R&D","employmentType":"FullTime","location":"Tel Aviv","secondaryLocations":[],"publishedAt":"2026-04-28T12:52:52.450+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Tel Aviv","addressCountry":"Israel","addressLocality":"Tel Aviv"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/499ce77a-7ed0-462e-9efb-3e7dad6cd5ad","applyUrl":"https://jobs.ashbyhq.com/pinecone/499ce77a-7ed0-462e-9efb-3e7dad6cd5ad/application","descriptionHtml":"About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
About the Team and Role:
We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.
Responsibilities:
Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
Design and build optimized indexing pipelines for structured and unstructured data
Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
Improve retrieval quality through evaluation and observability frameworks
Design APIs for internal and external user and agentic consumers
Optimize latency, throughput and cost across large-scale inference and retrieval workloads
Drive technical direction for reliability and security
What You’ll Bring to the Table:
To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.
Systems Expertise
Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.
Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.
AI & Retrieval
Retrieval Intuition: You understand that \"search\" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.
RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.
Technical
Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.
Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.
Ownership & Impact
Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.
Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer \"owning a problem\" over \"executing a ticket.\"
Bonus Points
Experience building multi-tenant SaaS platforms.
Experience with retrieval evaluation frameworks—knowing how to actually measure \"good\" search results.
Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).