# Sr. Product Manager, Lakebase at Databricks

AI Level 3, AI centrality 68 out of 100. San Francisco, California.

## Details

- Company: [Databricks](https://jobsbylevel.com/companies/databricks)
- AI level: AI Level 3 (score 68 out of 100)
- Location: San Francisco, California
- Salary: $157k-$215k
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/70aab00d-0cbf-4afa-81ff-38289b9ee5dc

## Description

RDQ427R586 At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data. Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase . We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder. 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). 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. It is not necessary but good to have understanding of Databases , SQL, data warehousing, BI, and analytics use cases . 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 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

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Source: https://jobsbylevel.com/jobs/sr-product-manager-lakebase-at-databricks-b96160

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