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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.

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.

Identify high-potential self-serve users and convert them into qualified sales opportunities by executing personalized, data-driven outreach. Partner with RevOps to build GTM automation workflows, surface PQLs from product telemetry, and collaborate with Sales, Solutions Engineering, Product, and Marketing to accelerate PLG-to-revenue motion.

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.

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.