Pinecone

Senior/Staff Software Engineer to design and build core components of a next-generation knowledge retrieval system for AI applications. The role focuses on search and retrieval infrastructure powering agentic systems, connecting knowledge to LLM-powered applications, and supporting semantic and hybrid retrieval. Responsibilities include designing scalable platform components, indexing pipelines, backend services for retrieval and orchestration, and optimizing performance for inference and retrieval workloads.

Product Manager for a vector database company, focusing on defining and shipping core database capabilities to improve performance, scalability, efficiency, and search quality for AI applications. The role requires understanding AI developer needs and translating them into product requirements.

Staff Developer Advocate to own the Pinecone community, focusing on building developer relationships, creating learning experiences, and translating community needs into product feedback. The role involves creating technical assets for AI applications, particularly RAG systems and knowledge management, and engaging with developers through online platforms and in-person events.

Senior/Staff Software Engineer to pioneer agent experience on Pinecone's platform, shaping how AI agents interact with the API, clients, and systems. The role involves end-to-end ownership of platform capabilities, including API design, SDKs, and web surfaces, with a focus on building high-leverage, AI-powered systems and workflows to accelerate product development and user growth. Emphasis on AI-assisted development and creating observable, auditable systems.

Senior/Staff Software Engineer to build and tune distributed systems for a vector database powering AI applications. Focus on performance, reliability, and scalability in cloud environments.