Staff /Principal Product Manager - Data and Storage

Responsibilities

• Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans 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 the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs.
• Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is…
• 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.
• We're looking for
• 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. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns.
• Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering.
• A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes.

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