Sr. Product Manager, Databricks Free Edition

RDQ126R51

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.

• 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.

• 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.

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 eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.