Level

Databricks

Sr. Product Manager, Lakebase/Lakehouse

Databricks is hiring a Sr. Product Manager, Lakebase/Lakehouse in San Francisco, United States. It pays $157k-$215k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions SQL, product management and data warehousing among its tools and skills.
  • Level classes it as a senior role.
  • Databricks has 894 other open roles on Level.

AI in this role

Lead product strategy and roadmap for Databricks Lakehouse and Lakebase data and AI platforms.

sql
product-managementdata-warehousinganalyticscloud-computingroadmap-strategy

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 performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 2 Pay Range$148,800—$204,525 USD

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.

How we rate this

Sr. Product Manager, Lakebase/Lakehouse at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementData WarehousingAnalyticsCloud ComputingRoadmap StrategySQL

Also common in AI product manager jobs at this level

Pay

This job starts at
$157k
Typical AI product manager job
$180k

This posting starts 13% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where data warehousing was part of your work. What did you do?
  3. Tell me about a project where analytics was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Tell me about a project where roadmap strategy was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Data Warehousing, Analytics, Cloud Computing, and Roadmap Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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