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Sr. Product Manager, Databricks Free Edition
Posted by employer 2 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 week ago
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Product Manager for Databricks Free Edition, the individual will focus on enhancing user experiences for learners in data and AI through collaboration with cross-functional teams. Key skills include product management expertise, customer empathy, and technical proficiency to work effectively with engineering. This position is ideal for someone with over five years of experience in product management, particularly in data or developer platforms, who is passionate about educational technology. Databricks emphasizes a collaborative culture, making it a fitting environment for innovative thinkers.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
- Salary band is below the typical range for Product roles (median ~$185,000).
- Starts above 11% of 105 comparable senior product roles in United States that list AI/ML we track (median $196,000 across 44 companies). See AI/ML salary trends
- AI/ML appears in 37.7% of 422 comparable senior product roles in United States; platform appears in 0.2% of 422 comparable senior product roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $156,600–$215,250 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Product Manager, Databricks Free Edition role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Data, platform.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Product Manager, Databricks Free Edition role at Databricks.
From the original posting
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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 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.
About Databricks
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