Jobs at Pinecone

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Own territory and quota selling Pinecone to F500/G2000 customers: prospect, secure POCs and contracts, manage inbound leads, drive deals through the sales process, win against competitors, ensure successful deployments and expansion, and partner cross-functionally.

As a Software Engineer on the Database Team at Pinecone, you'll design and build features for AI applications, enhance performance, and support distributed systems with a focus on learning and collaboration.

Design and build scalable search and retrieval infrastructure: indexing pipelines, backend services for semantic and hybrid retrieval, knowledge graph construction, retrieval orchestration, APIs, and observability to optimize latency, throughput, cost, reliability, and security for large-scale LLM-powered systems.

Lead design and delivery of end-to-end developer and agent experiences across API, SDK, CLI, and web. Pioneer agent interfaces and MCP protocols, build high-leverage platform tooling, and establish AI-assisted development and observability for production systems.

Lead the design and development of Pinecone's API and interfaces for AI agents, focusing on automation and observability while collaborating with cross-functional teams.

Lead technical product marketing for a vector database platform: develop GTM and launch plans, craft technical positioning and messaging, gather customer and market insights, create enablement content, and collaborate with Product, Sales, DevRel, and Marketing to drive adoption.