--- title: 'Solutions Engineer at Pinecone' canonical: 'https://feeny.ai/job/solutions-engineer-pinecone-san-francisco-zbapn13tbe09' type: 'job' last_seen: '2026-11-09' --- # Solutions Engineer at Pinecone - **Company:** Pinecone - **Location:** San Francisco, CA - **Compensation:** $207k–$240k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-09 - **Apply:** https://jobs.ashbyhq.com/pinecone/a50c376a-0216-40b2-9525-da89d47ef190 ## 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). What We Are Looking For: We are looking for individuals who are accustomed to solving the enterprise market’s most complex problems. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support Proof of Concepts, and ultimately close business. About the Role: As a Pinecone Solutions Engineer, you must share our passion about reinventing the Data Cloud space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with officials and talking shop with technical audiences. In this role, you will: - Present Pinecone technology and vision to officials and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Pinecone technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Pinecone in relation to them. - Collaborate with Product Management, Engineering and Marketing to continuously improve Pinecone’s products and marketing Preferred Background: - 5-7 years of enterprise experience in a customer and prospect facing pre-sales role - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies - Hands-on expertise with SQL and SQL analytics - Ability to connect a customer’s specific business problems and Pinecone’s solutions - Broad knowledge of cloud platforms; AWS, Azure & GCP is preferred - University degree in computer science, engineering, mathematics or related fields or equivalent experience preferred - Skills in Data Science and Data Applications Development, including knowledge of; Scala, Python and JavaScript is a bonus Perks & Benefits: - Comprehensive health coverage including Medical, Dental, Vision - Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions - Equity award - 401(k) - Flexible time off - Paid parental leave - Annual Department 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 ## 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 - [Full-Stack Software Engineer, Experience](https://feeny.ai/job/full-stack-software-engineer-experience-pinecone-new-york-kb18j8k3m0w3) — New York, NY - [Staff Developer Advocate](https://feeny.ai/job/staff-developer-advocate-pinecone-san-francisco-5t1spna19f8a) — San Francisco, CA - [Associate Field Engineer](https://feeny.ai/job/associate-field-engineer-pinecone-new-york-br24nmbs7sht) — New York, NY - [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, Database Team](https://feeny.ai/job/senior-staff-software-engineer-database-team-pinecone-new-york-tgpwgddwyp7k) — New York, NY - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-axle-energy-london-gmgp1p25g94b) — London, United Kingdom - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-jeeves-bogota-7yprvtkbmfmb) — Bogotá, Colombia - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-fortreum-reston-tecm000qr3j1) — Reston, VA - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-choco-chicago-cznzqdfctpmc) — Chicago, IL - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-method-financial-san-francisco-xp4fk81degtt) — San Francisco, CA