Staff Product Manager, Serverless Workspaces

More about the team

The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.

Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.

The impact you will have:

• Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year 
• Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
• Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready
• Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
• Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.

What we look for:

• 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
• Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.
• Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences.
• Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.