Sr. Product Manager, Databricks Free Edition

RDQ126R51

Mission

At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.

We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

The Impact You Will Have

• 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.

What We Look For

• 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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eli