About Pinecone
Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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.","compensation":{"compensationTierSummary":"$190K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$190K - $270K","compensationTiers":[{"id":"87d139dc-d575-4c26-a2c3-9ff34a362218","tierSummary":"Compensation Range (dependent upon level) $190K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5c5a6e28-56b8-47ef-9891-bae3dddc433c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"963e5b99-a2df-4d30-92eb-95e6ae2cf905","summary":"Compensation Range (dependent upon level) $190K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}},{"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","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-05T14:51:49.947+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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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.\n\n","compensation":{"compensationTierSummary":"$190K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$190K - $270K","compensationTiers":[{"id":"73d06543-4920-4123-a5a3-c03b1010bdbf","tierSummary":"$190K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"9100784d-e4f1-42fa-a390-480f972ecb72","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"00fab9b9-c28d-4d15-ab65-65e52bfc5a0b","summary":"$190K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}},{"id":"773e953d-8f53-4313-93b4-35a553bad1cb","title":"Senior/Staff Software Engineer, Experience","department":"R&D","team":"Experience","employmentType":"FullTime","location":"US Remote","shouldDisplayCompensationOnJobPostings":true,"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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 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
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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 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\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.","compensation":{"compensationTierSummary":"$190K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$190K - $270K","compensationTiers":[{"id":"c88a5848-3be6-4cdd-b2b6-d753b1ea6c37","tierSummary":"$190K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ff52faa5-306b-43cd-8785-8f21664e3a83","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"ee4a54b6-caa7-4496-a743-44587ce4a27f","summary":"$190K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}},{"id":"306679d4-9af9-446a-a442-c896f7badbb2","title":"Enterprise Account Executive","department":"GTM","team":"Sales","employmentType":"FullTime","location":"US Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-24T19:46:39.090+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/306679d4-9af9-446a-a442-c896f7badbb2","applyUrl":"https://jobs.ashbyhq.com/pinecone/306679d4-9af9-446a-a442-c896f7badbb2/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 role/team:
We are hiring an experienced Enterprise Account Executive to support our growth into F500 and G2000 customers! Reporting directly into the Head of Global Sales, this person will play a critical role in the growth of Pinecone as we expand the power of knowledge retrieval and AI infrastructure for Agentic use cases across the world’s largest organizations.
Responsibilities:
Owning a territory and quota of large Enterprises that you will prospect and break into to secure POCs and committed contractual relationships with.
Managing inbound leads through the BDR, PLG, and MQL channels
Lead all sales related activities through the various stages of the buying journey; in accordance to Pinecone’s defined sales process
Selling and winning against our competitors
Ensuring the customer is deployed successful and positioned for expansion
Partnering cross-functionally with Sales Engineering, Forward Deployed Engineering, Product, Engineering, Finance, and Marketing
Successful Pinecone Account Executives have a high degree of technical knowledge, and are comfortable selling into developers and engineering leaders. They are excited about working in a startup environment, comfortable with ambiguity, and ready to build an amazing business that will change the infrastructure landscape.
Requirements:
Experience in the infrastructure, data software, and genAI space is preferred
Experience selling to developers and engineering leaders is a must
Candidates should have a minimum 5-7 years experience as an Enterprise Account Executive, and must have direct experience with F500/G2000, closing net new logos
A a consistent track record of performance above quota / top of peer group
Start-up and early stage experience is preferred
Pinecone is a hybrid working environment, but NY and SF-based candidates are preferred
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.
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 and Role:
As a Business Development Representative, you’ll be the primary catalyst for user activation and expansion. You will work at the critical intersection of our Product-Led Growth (PLG) motion and our high-growth revenue engine.
Your core mission is to identify high-potential users within our self-serve funnel and proactively convert them into qualified sales opportunities.
You are part researcher and part automation hacker. You will partner closely with our Revenue Operations team to combine creative outreach with GTM (Go-To-Market) engineering workflows (using tools like Clay, n8n, Zapier, etc.) to deliver personalized, data-backed touchpoints at scale. You'll collaborate closely with Sales, Customer Success, and Solutions Engineering to accelerate our PLG motion, turning a robust sign ups & usage funnel into a predictable revenue engine and setting a new standard for AI-native GTM.
Responsibilities:
Drive Sales Opportunities: Proactively engage users exhibiting high-potential usage signals (e.g., specific API patterns, advanced feature experimentation, new workspace invites) to guide them toward opportunities for the sales team.
Identify & Convert: Execute highly personalized, data-driven outreach sequences to connect with AI practitioners, technical leads, and business decision-makers. Your goal is to understand their platform behaviors and signals in order to generate qualified sales leads.
Surface PQLs: Partner with RevOps and Growth to analyze product telemetry and surface Product-Qualified Leads (PQLs) with clear expansion potential (e.g., users building RAG, Agents, semantic search, or recommender systems).
Work on GTM Automation: Collaborate with RevOps to build and maintain scalable sales automation workflows using tools like Clay, n8n, Zapier, Retool, and our own product's query insights to dramatically reduce manual prospecting.
Innovate on Engagement: Go beyond standard outbound. Use AI-assisted personalization, shareable technical sandbox links, LinkedIn video DMs, and voice notes to provide tangible value in every interaction.
Create Feedback Loops: Work cross-functionally with Product and Marketing to provide direct feedback on inbound quality, user friction points, and emerging persona trends from the front lines.
Requirements:
Has 1–2+ years of BDR/SDR experience in a fast-paced, technical startup—ideally in developer tools, data infrastructure, or the AI/ML space.
Deeply understands modern PLG + Sales hybrid models and is energized by the challenge of bridging product usage to revenue.
Is comfortable and credible when speaking to technical personas (e.g., Founders, ML Engineers, Data Scientists) and can translate complex product value into tangible business outcomes.
Possesses a \"guide\" or \"teacher\" mindset, genuinely motivated by helping users solve problems and achieve \"aha\" moments that lead to deeper product adoption.
Thrives in ambiguous and fast-changing environments; you have high agency, are proactive, and are guided by data.
Is passionate about AI, automation, and GTM innovation. You naturally use tools like ChatGPT, Clay, Gong, and Loom to be more effective.
Loves metrics (PQLs, conversion rates, consumption) but doesn’t wait to be told what to do, constantly iterating on playbooks and documenting what works.
Bonus Points:
Direct experience with vector databases, LLM applications, embeddings, or developer ecosystems.
You've built your own prospecting automations or played with tools like Navattic, Salesroom, Regie.ai, or n8n.
You have worked in a pod-based or \"full-cycle lite\" GTM setup where BDRs are responsible for driving adoption and consumption metrics, not just booking meetings.
You can show examples of creative, high-value outreach you've designed.
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.
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 109,000 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 has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform.
Product Launches & GTM Strategy:
Develop launch plans for product releases, align with product teams, and manage GTM execution.
Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc).
Measure customer impact and adoption post-launch, iterating on strategies as needed.
Positioning & Messaging:
Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions.
Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors.
Develop and maintain positioning for new product capabilities
Customer & Market Insights:
Partner with customers to develop case studies, gathering business impact metrics and architectural insights.
Engage in customer interviews and research to refine messaging and identify key value drivers.
Content Development & Enablement:
Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions.
Collaborate with marketing to create social posts, blogs, and technical content.
5+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company.
Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases.
Proven track record in launching technical products and driving adoption in enterprise and developer communities.
Ability to translate complex technical concepts into clear, compelling messaging for different audiences.
AI-native workflow from content creation to automating away process
Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams.
Excellent written and verbal communication skills.
Experience in developer marketing or working directly with AI/ML practitioners.
Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies.
Knowledge of cloud infrastructure and AI model deployment.
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.
About Pinecone
Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 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
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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 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\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.","compensation":{"compensationTierSummary":"$190K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$190K - $270K","compensationTiers":[{"id":"c88a5848-3be6-4cdd-b2b6-d753b1ea6c37","tierSummary":"$190K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ff52faa5-306b-43cd-8785-8f21664e3a83","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"ee4a54b6-caa7-4496-a743-44587ce4a27f","summary":"$190K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}},{"id":"8beaa81a-20be-4b3c-a38c-b85d13bf1df9","title":"Senior/Staff Software Engineer, Search & Retrieval Infrastructure","department":"R&D","team":"R&D","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-05T15:12:22.270+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/8beaa81a-20be-4b3c-a38c-b85d13bf1df9","applyUrl":"https://jobs.ashbyhq.com/pinecone/8beaa81a-20be-4b3c-a38c-b85d13bf1df9/application","descriptionHtml":"About Pinecone
Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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 knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. 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.\n\n","compensation":{"compensationTierSummary":"$190K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$190K - $270K","compensationTiers":[{"id":"73d06543-4920-4123-a5a3-c03b1010bdbf","tierSummary":"$190K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"9100784d-e4f1-42fa-a390-480f972ecb72","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"00fab9b9-c28d-4d15-ab65-65e52bfc5a0b","summary":"$190K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":190000,"maxValue":270000}]}}],"apiVersion":"1"}