About Pinecone
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.\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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.\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":"7e7c824d-17a6-44ea-9485-6f04ceea5f29","title":"Technical Product Marketing Manager (Staff)","department":"Marketing","team":"Product Marketing","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-01T20:38:13.061+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/7e7c824d-17a6-44ea-9485-6f04ceea5f29","applyUrl":"https://jobs.ashbyhq.com/pinecone/7e7c824d-17a6-44ea-9485-6f04ceea5f29/application","descriptionHtml":"Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
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.
7+ 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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.\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":"2cf3b58f-a912-497f-9bfe-84144c4a1e3d","title":"Associate Field Engineer","department":"GTM","team":"Field Engineering","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-11T20:52:20.104+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/pinecone/2cf3b58f-a912-497f-9bfe-84144c4a1e3d","applyUrl":"https://jobs.ashbyhq.com/pinecone/2cf3b58f-a912-497f-9bfe-84144c4a1e3d/application","descriptionHtml":"About Pinecone:
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
About the Team/Role:
This is intended to be an entry level role for new grads/early career professionals.
As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role.
Responsibilities:
Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.
Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals.
Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion.
Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem.
Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.
Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.
Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows.
Requirements:
BS in Computer Science or a related technical field or equivalent experience.
Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
Ability to communicate complex technical concepts to both technical and non-technical audiences.
Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG.
Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.
Proficiency in one or more popular programming languages (Python, JavaScript).
Bonus Points:
Experience with Datadog or similar monitoring tools.
Experience working with cloud platforms (AWS, GCP, Azure).
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 trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.\n\n\n\nAbout the Team/Role:\n\nThis is intended to be an entry level role for new grads/early career professionals.\n\nAs an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role.\n\n\n\nResponsibilities:\n\n - Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.\n\n - Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals.\n\n - Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion.\n\n - Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem.\n\n - Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.\n\n - Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.\n\n - Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows.\n\n\n\nRequirements:\n\n - BS in Computer Science or a related technical field or equivalent experience.\n\n - Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.\n\n - Ability to communicate complex technical concepts to both technical and non-technical audiences.\n\n - Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG.\n\n - Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.\n\n - Proficiency in one or more popular programming languages (Python, JavaScript).\n\n\n\nBonus Points:\n\n - Experience with Datadog or similar monitoring tools.\n\n - Experience working with cloud platforms (AWS, GCP, Azure).\n\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.","compensation":{"compensationTierSummary":"$90K – $105K • Offers Equity","scrapeableCompensationSalarySummary":"$90K - $105K","compensationTiers":[{"id":"4c2eecbf-dc2b-4b25-a876-6098539b0330","tierSummary":"$90K – $105K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5f6b0f6a-64ad-4b1d-a6ee-5e41aec89c66","summary":"$90K – $105K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":105000},{"id":"e51bcdd9-0f23-4256-9e6f-bacd35ad220f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":105000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}}],"apiVersion":"1"}