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Databricks

Mid-Senior
Full-time
On-Site

Sr. Product Manager, DBSQL

Exciting opportunity: Lead product innovation with Databricks SQL! Own the roadmap, drive growth, and shape the future of cloud data warehousing. Apply now!

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Databricks

North America
San Francisco, California, United States
Artificial Intelligence & Data
SaaS

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[/] _ Why Databricks _ _ Discover _ For Executives [/why-databricks/executives] - For Startups [/product/startups] - Lakehouse Architecture [/product/data-lakehouse] - Mosaic Research [/research/mosaic] - Customers \* Customer Stories [/customers] - Partners \* Cloud ProvidersDatabricks on AWS, Azure, GCP, and SAP [/company/partners/cloud-partners] - Consulting & System IntegratorsExperts to build, deploy and migrate to Databricks [/company/partners/consulting-and-si] - Technology PartnersConnect your existing tools to your Lakehouse [/company/partners/technology-partner-program] - C&SI Partner ProgramBuild, deploy or migrate to the Lakehouse [/company/partners/consulting-and-si/candsi-partner-program] - Data PartnersAccess the ecosystem of data consumers [/company/partners/data-partner-program] - Partner SolutionsFind custom industry and migration solutions [/company/partners/consulting-and-si/partner-solutions] - Built on DatabricksBuild, market and grow your business [/company/partners/built-on-partner-program] - Product _ _ Databricks Platform \* Platform OverviewA unified platform for data, analytics and AI [/product/data-intelligence-platform] - Data ManagementData reliability, security and performance [/product/delta-lake-on-databricks] - SharingAn open, secure, zero-copy sharing for all data [/product/delta-sharing] - Data WarehousingServerless data warehouse for SQL analytics [/product/databricks-sql] - GovernanceUnified governance for all data, analytics and AI assets [/product/unity-catalog] - Data EngineeringETL and orchestration for batch and streaming data [/product/data-engineering] - Artificial IntelligenceBuild and deploy ML and GenAI applications [/product/artificial-intelligence] - Data ScienceCollaborative data science at scale [/product/data-science] - Business IntelligenceIntelligent analytics for real-world data [https://www.databricks.com/product/business-intelligence] - Application DevelopmentQuickly build secure data and AI apps [/product/databricks-apps] - DatabasePostgres for data apps and AI agents [/product/lakebase] - Integrations and Data \* MarketplaceOpen marketplace for data, analytics and AI [/product/marketplace] - IDE IntegrationsBuild on the Lakehouse in your favorite IDE [/product/data-science/ide-integrations] - Partner ConnectDiscover and integrate with the Databricks ecosystem [/partnerconnect] - Pricing \* Databricks PricingExplore product pricing, DBUs and more [/product/pricing] - Cost CalculatorEstimate your compute costs on any cloud [/product/pricing/product-pricing/instance-types] - Open Source \* Open Source TechnologiesLearn more about the innovations behind the platform [/product/open-source] - Solutions _ _ Databricks for Industries \* Communications [/solutions/industries/communications] - Media and Entertainment [/solutions/industries/media-and-entertainment] - Financial Services [/solutions/industries/financial-services] - Public Sector [/solutions/industries/public-sector] 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PRODUCT MANAGER, DBSQL San Francisco, CaliforniaApply now 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 [https://www.databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html]? 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 [https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf]. Zone 1 Pay Range$139,900—$195,850 USDAbout 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 onTwitter [https://twitter.com/databricks],LinkedIn [https://www.linkedin.com/company/databricks]andFacebook [https://www.facebook.com/databricksinc]. 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, please visithttps://www.mybenefitsnow.com/databricks [https://www.mybenefitsnow.com/databricks]. 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. 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