Role at a glance
- Salary
- $148.8K – $204.5K/yr
- Location
- Seattle, Washington, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of product management experience
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Role Summary
The Senior Product Manager will help shape the vision, strategy, and roadmap for Databricks Free Edition, a product designed to help students, enthusiasts, and aspiring professionals explore data and AI hands-on. The role works with product managers, engineers, designers, education teams, academic and learning program partners, and learners to improve accessible and engaging learning experiences.
What You'll Do
- Shape and advance the vision, strategy, and roadmap for Databricks Free Edition
- Collaborate with design, engineering, and education teams to deliver hands-on learning journeys
- Work with academic and learning program partners to support data and AI education
- Coordinate with other product teams to introduce new features with the right user experience and guardrails
- Engage directly with learners and users to understand goals, identify friction points, and translate insights into product improvements
- Define and track success metrics measuring learning engagement and user outcomes
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong customer empathy; passion for creating learning and onboarding experiences; proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams; excellent communication and storytelling skills; technical proficiency to collaborate effectively with engineering on data and platform capabilities.
Required
- 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
- Technical proficiency to collaborate effectively with engineering on data and platform capabilities
Preferred
- 5+ years of product management experience, preferably in data, AI, or developer-focused platforms
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.