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 team in Berlin. You'll own the end-to-end product process, gather customer requirements, design features with engineering, drive launches with product marketing, define and measure OKRs, and prioritize features that make it simpler and more cost effective for customers to govern and process petabytes of data.
Requirements
- 6+ years of experience
- Bachelor's degree in Computer Science or similar field
- Product Management experience (inbound, outbound, cross-functional processes)
- Technical skills
- Understanding of cloud infrastructure (AWS, Azure, GCP)
- Data analysis skills (SQL, rollups, operational dashboards)
Responsibilities
- Own the end-to-end product management process
- Gather customer requirements, design features and collaborate with engineering
- Drive launches with product marketing through blog posts, release notes, webinars
- Define and measure OKRs
- Drive prioritization and development of features for data governance and processing