Sr. Product Manager, Databricks Free Edition
San Francisco, CA$156.6k - $215.3kfull-timePosted 11mo ago
About the role
Senior Product Manager role focused on Databricks Free Edition, responsible for vision, strategy, and roadmap to make learning data and AI engaging, accessible, and impactful.
Responsibilities
- Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
- Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
- Work with academic and learning program partners to support data and AI education through Databricks.
- Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
- Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
- Define and track success metrics that measure learning engagement and user outcomes.
Qualifications
- 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.
- Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
- Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
- Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
- Technical proficiency to collaborate effectively with engineering on data and platform capabilities.
Skills
Required:Product managementCross-functional collaborationCommunication and storytelling
Benefits
- For specific details on the benefits offered in your region click here.
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.
AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
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