About the role
<p data-pm-slice="1 1 []">RDQ126R51</p> <h2>Mission</h2> <p>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.</p> <p>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.</p> <h2>The Impact You Will Have</h2> <ul> <li>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.</li> <li>Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.</li> <li>Work with academic and learning program partners to support data and AI education through Databricks.</li> <li>Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.</li> <li>Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.</li> <li>Define and track success metrics that measure learning engagement and user outcomes.</li> </ul> <h2>What We Look For</h2> <ul> <li>5+ years of product management experience, preferably in data, AI, or developer-focused platforms.</li> <li>Strong customer empathy and passion for creating learning and onboarding experiences that empower users.</li> <li>Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.</li> <li>Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.</li> <li>Technical proficiency to collaborate effectively with engineering on data and platform capabilities.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">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.&nbsp; Actual compensation packages are based on several factors that are unique t