--- title: 'Associate Field Engineer at Pinecone' canonical: 'https://feeny.ai/job/associate-field-engineer-pinecone-new-york-br24nmbs7sht' type: 'job' last_seen: '2026-11-02' --- # Associate Field Engineer at Pinecone - **Company:** Pinecone - **Location:** New York, NY - **Compensation:** $90k–$105k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-11-02 - **Apply:** https://jobs.ashbyhq.com/pinecone/2cf3b58f-a912-497f-9bfe-84144c4a1e3d ## Job description 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](http://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. ## About Pinecone ## Company Overview - **One-liner**: Pinecone is the knowledge infrastructure for AI at scale, providing the leading vector database and knowledge engine for building accurate, performant AI applications. - **Entity Type**: Private (backed by Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital) - **Headquarters**: New York City, NY, USA (with an additional office in Tel Aviv, Israel) - **Founded**: 2019 - **Founders**: Edo Liberty ## Core Business - **Primary industry/industries**: Vector database / AI infrastructure / Knowledge management - **Target customers**: B2B – developers, engineering teams of all sizes, enterprise customers building AI applications (search, recommendation, agents, RAG) - **Mission or purpose statement**: "Make AI knowledgeable." ## Products & Services - **Pinecone Vector Database**: Fully managed, serverless vector database optimized for low-latency similarity search at billion-scale with automatic scaling, built-in freshness, and a cloud-native architecture. - **Pinecone Nexus**: Knowledge engine that combines cutting-edge models (embedding, planning, reranking) with flexible query mechanisms (vector, keyword, filtering) for end-to-end retrieval. - **Pinecone Assistant**: A conversational interface built on the vector database for question-answering over custom data. - **Pinecone Dedicated Read Nodes**: Isolated read replicas for high-throughput workloads with strict SLAs. - **Pinecone BYOC (Bring Your Own Cloud)**: Deployment option that runs within a customer’s own cloud environment for compliance and security requirements. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Serves more than **10,000 customers** and **1 million developers** worldwide (source: company page). - **Notable Investors/Partners**: Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital. - **Growth Signals**: Rapidly expanding product suite (Nexus, Assistant, MCP Server), hybrid workforce scaling, continuous hiring in engineering and product roles, and growing adoption among enterprises building AI agents. ## Competitive Advantages - **Proprietary Rust-based implementations** of state-of-the-art algorithms delivering industry-leading performance and low latency. - **Cloud-native architecture** that separates storage from compute and reads from writes, enabling hands-free scaling to billions of vectors and thousands of queries per second. - **Fully managed serverless experience** – no capacity planning or infrastructure tuning needed; built-in freshness for dynamic workloads. - **Best-in-class developer experience** with intuitive APIs, SDKs, extensive documentation, and deep ecosystem integrations (e.g., MCP servers, LangChain, LlamaIndex). - **Cost-effective retrieval** via object-storage-based data tiering and multi-tenant resource packing. ## Strategic Focus - Deepening the "knowledge infrastructure" platform to power the next generation of **AI agents** and intelligent applications. - Advancing retrieval quality with sparse-dense embeddings, reranking, and multimodal capabilities. - Scaling enterprise readiness with BYOC, advanced security features, and compliance certifications. - Expanding developer community and ecosystem integrations to maintain leadership in the vector database category. ## Why Work Here - **Work model**: Hybrid in-office/remote with hubs in New York City and Tel Aviv; remote-friendly roles available for many engineering positions. - **Culture & values**: "Be yourself, Be a friend, Be a pro" – emphasis on authenticity, trust, collaboration, and ownership. - **Team**: Work with world-class scientists and engineers who previously built large-scale ML and distributed systems at AWS, Databricks, Google, Microsoft, and Yahoo. - **Benefits**: Competitive base salary + equity, flexible PTO, WFH equipment stipend, annual company retreat and team offsites, comprehensive medical/dental/vision, paid parental leave, mental health resources. - **Growth**: Early-stage enough to have outsized impact but with strong product-market fit and massive adoption; opportunity to shape the future of AI infrastructure. ## Sources 1. [pinecone.io - Company](https://www.pinecone.io/company/) 2. [pinecone.io - Careers](https://www.pinecone.io/careers/) 3. [pinecone.io - Product](https://www.pinecone.io/) 4. [LinkedIn - Pinecone](https://www.linkedin.com/company/pinecone-io) ## Other roles at Pinecone - [Applied AI Engineer (Full-Stack)](https://feeny.ai/job/applied-ai-engineer-full-stack-pinecone-new-york-xdb5c406kpy4) — New York, NY - [Full-Stack Software Engineer, Experience](https://feeny.ai/job/full-stack-software-engineer-experience-pinecone-new-york-kb18j8k3m0w3) — New York, NY - [Developer Advocate](https://feeny.ai/job/developer-advocate-pinecone-san-francisco-5t1spna19f8a) — San Francisco, CA - [Technical Product Marketing Manager (Staff)](https://feeny.ai/job/technical-product-marketing-manager-staff-pinecone-new-york-4z1wddvsp4h6) — New York, NY - [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-new-york-fxyre636a1n5) — New York, NY - [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-united-b960jp5y27vv) — United States - [Senior/Staff Software Engineer, Database Team](https://feeny.ai/job/senior-staff-software-engineer-database-team-pinecone-new-york-tgpwgddwyp7k) — New York, NY