Strategic Overview
Sr. Product Manager, Databricks Free Edition at Databricks is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for San Francisco, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
RDQ126R51
Key Responsibilities & Objectives
- 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.
- Define and track success metrics that measure learning engagement and user outcomes.
- Technical proficiency to collaborate effectively with engineering on data and platform capabilities.
Required Qualifications & Candidate Blueprint
- Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
- Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
Salary & Benefits
Published compensation: $156,600 – $215,250 USD
- 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.
- Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Senior level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 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
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Work with academic and learning program partners to support data and AI education through Databricks. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.