render
Staff Product Manager - Datastores (Postgres Specialist)
At a Glance
- Location
- United States
- Employment
- FULL_TIME
- Experience
- 7+ years
- Compensation
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- Department
- Render
- Posted
- 2026-07-21
Key Requirements
Required Skills
Domain Knowledge
- Cloud
- Engineering
- Insurance
- Medical
- SaaS
Benefits & Perks
100% employer-paid medical coverage and 99% employer-paid dental and vision
Requirements
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.
Compensation & Benefits
4 weeks of paid vacation.
14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
Long-term disability, life insurance, and 401K plans.
100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
Monthly cell phone and internet subsidy.
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 essential.
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.