Senior Product Manager, Lakebase/Lakehouse

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.

View jobs by Databricks

Skills

Candidate Availability

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

About the Role

You will own and define the product vision, strategy and roadmap for Databricks SQL. You'll work closely with engineering, design, sales and marketing to launch features and drive adoption, engage with customers and partners to prioritize high-impact solutions, drive competitive differentiation in the cloud data warehouse market, and use data-driven insights to measure success and improve the user experience.

Requirements

  • 5+ years of product management experience (preferably in cloud, analytics, or data platforms)
  • Ability to break down complex problems into simple, scalable solutions
  • Strong sense of ownership and comfort with ambiguity
  • Experience working with engineers and designers to ship products
  • Exceptional communication and storytelling skills
  • Nice to have: understanding of databases, SQL, data warehousing, BI, and analytics

Responsibilities

  • Own and define the product vision, strategy, and roadmap for Databricks SQL
  • Work with engineering, design, sales, and marketing to launch features and drive adoption
  • Engage with customers and partners to prioritize high-impact solutions
  • Drive competitive differentiation and positioning in the cloud data warehouse market
  • Collaborate with leadership to align product initiatives with business goals
  • Use data-driven insights to measure success and improve user experience

Benefits

  • Eligibility for annual performance bonus
  • Equity