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Staff Product Manager, Serverless Workspaces

Databricks
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Hybrid (San Francisco or Seattle)$172.6k - $237.3kPosted 8mo ago

About the role

Role focused on defining and delivering a next-generation serverless workspace platform within Databricks, balancing a SaaS experience with enterprise governance. You will own strategy for serverless/workspace onboarding, design flows for instant workspace creation with governance, and collaborate with Unity Catalog and Identity teams to integrate serverless environments with customers’ data and security models.

Responsibilities

  • Drive the transition to Serverless: lead the strategy to unify onboarding to serverless and classic workspaces and drive 10X usage of serverless in the next year
  • Democratize Workspace Creation: 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: lower barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allow them to dial those in when they’re ready
  • Solve "Workspace Proliferation": define tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
  • Unify the Data Estate: work with the Unity Catalog and Identity teams to ensure new serverless environments integrate with customers’ data and security models

Qualifications

  • 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: track record of turning complex technical workflows into one-click consumer-grade experiences.
  • Data-driven mindset: comfortable defining and tracking KPIs, such as Time to First Workspace or Serverless Adoption Rate, to measure success.

Skills

Required:Product management for cloud infrastructure / SaaSCloud infrastructure familiarity (AWS, Azure, GCP)User-centric / one-click experiencesData-driven KPI tracking
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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