Staff Product Manager
Staff Product Manager owning vision and roadmap for Render's managed datastores with Postgres at the center. Define modern database experiences for AI-native and agentic workloads, drive reliability, scaling, and developer experience in close partnership with engineering.
About the job
Responsibilities
- Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Scope includes provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem.
- Drive prioritization across Render's data investments, balancing foundational reliability work (replication, failover, storage performance) against near-term product and business needs, and negotiate those tradeoffs.
- Partner deeply with Engineering and other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity.
- Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders—from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale.
- Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence—without needing a DBA on staff.
Requirements
- 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products.
- Familiarity with Postgres—its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production.
- Deep developer empathy for both internal engineering teams and customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering.
- Track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes.
- Strong communication and storytelling skills.
Nice-to-Haves
- Experience as a database engineer, DBA, or infrastructure engineer.
- Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS).
- Experience building AI agents or the data infrastructure that powers them.
Skills
Product Management, Postgres, Databases, Data Infrastructure, High Availability, Disaster Recovery, Vector Databases, Ai-Native Applications, Pgvector, Postgis
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