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Sr. Product Manager, Compute Platform

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
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.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own product vision, strategy and roadmap for the Databricks Compute Platform, covering Classic Compute, SQL Warehouses and Serverless Compute. You'll work cross-functionally with engineering, design, sales and marketing, engage enterprise customers and partners, and use data to measure success and iterate.

Requirements

  • 5+ years of product management experience, preferably in cloud, analytics or data platforms
  • Deep understanding of data platforms and compute products
  • Background in computer science or related engineering
  • Experience working with engineers and designers to ship cross-functional products
  • Exceptional communication and storytelling skills
  • Experience working with enterprise customers and ISV partners in the data market

Responsibilities

  • Research, define and own product vision, strategy and roadmap for compute platform features
  • Work with engineering, design, sales and marketing to launch features and drive adoption
  • Engage customers and partners to prioritize high-impact solutions
  • Improve efficiency and value for internal and external customers
  • Drive competitive differentiation versus SaaS and IaaS products
  • Collaborate with leadership to align initiatives with business goals
  • Use data-driven insights to measure success and iterate

Benefits

  • Annual performance bonus eligibility
  • Equity eligibility