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Sr. Product Manager, DBSQL

Databricks

San Francisco, CAFull time5-10 yearsNot Disclosed

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aibisansqlcloudfutureshapingbig data + 11 more

Job Description

RDQ226R484

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.

The Impact You Will Have

  • 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.

What We Look For

  • 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.

Ready to Build the Future?

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.

Zone 1 Pay Range

$156,600—$215,250 USD

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.

About The Company

Databricks

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with 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. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Company Size5000-10000
HeadquartersSan Francisco, CA
IndustrySoftware Development
TypePrivately Held
SpecialitiesApache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops

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