Staff Product Manager
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the Product Manager for the Databricks Runtime, working at the intersection of query processing, storage, infrastructure and data governance. You will gather customer requirements, define long-term strategy and roadmaps, work with engineering to build features, and coordinate with internal stakeholders before and after launch to ensure product success.
Requirements
- 6+ years of experience
- Bachelors degree in Computer Science or similar field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Technical skills
- Solid understanding of cloud infrastructure (AWS, Azure)
- Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
Responsibilities
- Own the end-to-end product management process
- Gather customer requirements, design features and collaborate with engineering to deliver a market-ready product
- Drive launches with product marketing through blog posts, release notes and webinars
- Define and measure OKRs for your products
- Drive prioritization and development of features that reduce the cost and time of operating ETL and machine learning workflows