Strategic Overview
Sr. Product Manager, Lakebase/Lakehouse at Databricks is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for Seattle, Washington with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
- Drive competitive differentiation and positioning in the cloud data warehouse market.
Required Qualifications & Candidate Blueprint
- Ability to break down complex problems into simple, scalable solutions.
- It is not necessary but good to have understanding of Databases , SQL, data warehousing, BI, and analytics use cases .
Salary & Benefits
Published compensation: Zone 1: $156,600 – $215,250 USD · Zone 2: $148,800 – $204,525 USD · Zone 3: $133,100 – $182,975 USD
- Own and define the product vision, strategy, and roadmap for Databricks SQL
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Senior level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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.
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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.