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Sr. Product Manager, Compute Platform

Databricks
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Seattle, WA$148.8k - $204.5kfull-timePosted 11mo ago

About the role

Senior Product Manager for the Compute Platform at Databricks, responsible for vision, strategy, and roadmap of compute features (Classic and Serverless), cross-functional execution, and direct customer engagement.

Responsibilities

  • Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
  • Work closely with engineering, design, sales, and marketing to launch new features and drive adoption
  • Engage directly with customers and partners to understand their needs and prioritize high-impact solutions
  • Continually improve efficiency and value for internal stakeholders and external customers through measured and strategic execution
  • Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products
  • Collaborate with leadership to align product initiatives with business goals
  • Use data-driven insights to measure success, iterate, and improve user experience

Qualifications

  • 5+ years of product management experience, preferably in cloud, analytics, or data platforms
  • Deep understanding of data platforms, the compute products that power them, and compute use cases
  • Educational background in computer science or related engineering practice
  • Experience working with engineers and designers to ship high-impact and cross-functional products
  • Exceptional communication and storytelling skills to inspire teams and stakeholders
  • Experience working with enterprise customers and ISV partners in the data market

Skills

Required:product managementcustomer engagementdata platforms

Benefits

  • Benefits details available via regional link (benefits document)
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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