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Databricks

Builds cloud software for data analysis and AI

Staff Product Manager - Serverless Workspaces

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 7 years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
  • Familiarity with AWS, Azure, or Google Cloud Platform resource management, including networking, compute, and identity, and the ability to abstract that complexity for end users.
  • A track record of simplifying complex technical workflows, such as configuring a virtual private cloud or peering, into one-click consumer-grade experiences.
  • Ability to define and track key performance indicators, such as Time to First Workspace or Serverless Adoption Rate.

Responsibilities

  • Lead the strategy to unify customer onboarding across serverless and classic workspaces and drive tenfold serverless usage in the next year.
  • Design and ship low-friction flows that allow users to create workspaces instantly while maintaining governance guardrails and company policies.
  • Redefine the getting-started experience by removing the need to manage detailed cloud infrastructure configurations before using Databricks, while allowing customers to configure them later.
  • Help define tools and policies that enable administrators to govern increased numbers of workspaces across the enterprise.
  • Work closely with the Unity Catalog and Identity teams to integrate serverless environments with customers’ existing data and security models.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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