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Build the Future of Data & AI with Databricks SQL
At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse?
We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.
Why Join Us?- Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
- Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
- Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
- Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.
- Own and define the product vision, strategy, and roadmap for Databricks SQL
- Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
- Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
- Drive competitive differentiation and positioning in the cloud data warehouse market.
- Collaborate with leadership to align product initiatives with business goals.
- Use data-driven insights to measure success, iterate, and improve user experience.
- 5+ years of product management experience (preferably in cloud, analytics, or data platforms).
- Deep understanding of SQL, data warehousing, BI, and analytics use cases.
- Ability to break down complex problems into simple, scalable solutions.
- Strong sense of ownership—you thrive in ambiguity and love solving hard problems
- Experience working with engineers and designers to ship high-impact products.
- Exceptional communication and storytelling skills to inspire teams and stakeholders.
If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.
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 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.
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.
Skills Required
- 5+ years of product management experience in cloud, analytics, or data platforms
- Deep understanding of SQL, data warehousing, BI, and analytics use cases
- Ability to break down complex problems into simple, scalable solutions
- Experience working with engineers and designers to ship high-impact products
- Exceptional communication and storytelling skills
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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