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Sr. Product Manager, Lakebase/Lakehouse

DataBricksSeattle, WA

$133,100 - $215,250 / year


Overview

Schedule
Full-time
Career level
Director
Remote
On-site
Compensation
$133,100-$215,250/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job 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 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

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 3 Pay Range

$133,100—$182,975 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.

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FAQs About Sr. Product Manager, Lakebase/Lakehouse Jobs at DataBricks

What is the work location for this position at DataBricks?
This job at DataBricks is located in Seattle, WA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at DataBricks?
Candidates can expect a pay range of $133,100 and $215,250 per year.
What employment applies to this position at DataBricks?
DataBricks lists this role as a Full-time position.
What experience level is required for this role at DataBricks?
DataBricks is looking for a candidate with "Director" experience level.
What benefits are offered by DataBricks for this role?
DataBricks offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, and Family/Dependent Health for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at DataBricks?
You can apply for this role at DataBricks either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.