Staff Product Manager, Serverless Workspaces
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 own the strategy for the Serverless Workspaces platform layer. You will unify the onboarding journey for serverless and classic workspaces, drive serverless adoption, design flows for instant workspace creation with governance guardrails, simplify getting started, help admins govern growing numbers of workspaces, and work with Unity Catalog and Identity teams.
Requirements
- 7+ years of experience as a Product Manager on cloud infrastructure, developer platforms or SaaS foundations
- Familiarity with AWS, Azure or GCP resource management (networking, compute, identity)
- Track record of simplifying complex technical workflows into one-click experiences
- Ability to define and track KPIs
Responsibilities
- Lead the strategy to unify onboarding to serverless and classic workspaces and drive 10X serverless usage
- Design and ship flows for instant workspace creation with governance guardrails
- Redefine the Getting Started experience by removing cloud infrastructure configuration requirements
- Define tools and policies for admins to govern increased numbers of workspaces
- Work with Unity Catalog and Identity teams to integrate serverless environments with existing data and security models
Benefits
- Annual performance bonus eligibility
- Equity