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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, build, and operate the data platform: ingestion, transformation (DBT), orchestration (Airflow on Kubernetes), and metrics. Manage BigQuery/GKE/Cloud Run/Kafka costs and performance. Lead company-level analyses, partner with finance/GTM/product, ship BI dashboards, enable self-serve analytics, and establish AI-assisted data workflows and best practices.

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.

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.

The Staff Technical Writer will create technical documentation for developers and ML engineers, improve user experience, and collaborate with teams to enhance content quality.

The Staff Product Manager will lead the development of vector database capabilities, collaborate with teams, and define product strategies while focusing on AI application needs.