About Databricks
databricks.com- Founded 2013
- Employees 4000
Source: Wikipedia
Databricks
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.
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.
To apply for this job please visit databricks.com.
Working in San Francisco
San Francisco, officially the City and County of San Francisco, is the fourth-most populous city in California and the 17th-most populous in the United States, with a population of 826,079 in 2025. Among U.S. cities with a population of 200,000 or more, San Francisco is ranked first by per capita income, second by population density, and sixth by aggregate income as of 2024. Some 4.6 million residents live in the city's metropolitan statistical area, which is the 13th-largest in the United States. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fift
What people say about Databricks
- Ask HN: Has anyone here programmed in Kotlin? What do you think about it?
- MapD: Massive Throughput Database Queries with LLVM on GPUs
- Go vs. Rust: Productivity vs. Performance (2014)
- IBM Invests to Help Apache Spark
Recent news
- Grok on Databricks - xAI
- Sources: Databricks doubles Seattle-area footprint with lease in new Bellevue tower - The Business Journals
- Trump kneecaps Anthropic, SpaceX bags Cursor and Databricks debuts AI agent coworker - SiliconANGLE
- Databricks says it solved the decades-old data pipeline problem that's been slowing AI agents - VentureBeat
- Databricks strikes deal to buy Panther Labs in cybersecurity push - Reuters
Aggregated from public discussions and news; opinions are the authors’ own.
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