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Databricks

Staff Product Manager, US Public Sector

California, United States +2

Location
California, United States · Virginia, United States · Washington, District of Columbia, United States
Work
Remote
Employment
Not stated
Level
Lead / staff
Function
Product
Pay
$181.7K – $249.8K a year
Posted
6 weeks ago

About the role

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At Databricks, we are passionate about helping data teams solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform protected by the highest standards of security and compliance. Nowhere are those standards higher than in the US public sector.

As the Product Manager for US Public Sector, you will own the roadmap that brings the Databricks Data Intelligence Platform to every tier of the US Government mission, from federal civilian agencies and state and local governments to the Department of Defense and the Intelligence Community. Your surface spans the full accreditation spectrum: FedRAMP on commercial clouds, the sovereign AWS GovCloud and Azure Government regions, and classified environments up to Top Secret.

You will define the product strategy to identify, prioritize, and sequence where Databricks should invest next. As the voice of the government customer inside Databricks, you will shape and influence roadmaps across R&D so that our latest Data and AI innovations reach mission owners without compromising on security or sovereignty. You will partner cross-functionally with R&D, security, legal, GTM, and support teams, and directly with the public-sector field team, to enable adoption across the most demanding regulated environment in the world, empowering government customers to focus on their mission while relying on Databricks to meet the bar.

The impact you will have

  • Own the US public-sector product offerings end to end — from FedRAMP on commercial clouds, to AWS GovCloud and Azure Government, to DoD Impact Levels and classified environments.
  • Design new features, and adapt existing ones, to meet the specific needs of the US Government and its regulated environments.
  • Ensure compliance and authorization processes scale with Databricks’ rapid growth and with each new region and impact level.
  • Launch public-sector offerings in close partnership with GTM and the public-sector field teams to accelerate adoption of Databricks’ Data and AI capabilities across federal, defense, Intelligence Community, and State, Local and Education customers.
  • Partner with the Security Assurance, Corporate Operations, Sales and Engineering teams to define the company-wide public-sector compliance roadmap across all clouds, prioritizing and sequencing the authorizations (FedRAMP, DoD Impact Levels, and beyond) that open new government markets.
  • Partner with cloud providers to coordinate product launches and obtain capabilities needed to support regulated customers.

What we look for

  • Product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
  • Proven ability to lead customer conversations, write PRDs, define success metrics, prioritize features, and guide engineering and design execution
  • Domain expertise in the US public-sector compliance and accreditation — e.g., FedRAMP, DoD Impact Levels (IL4/5/6), and NIST 800-53 — and with government cloud (AWS GovCloud, Azure Government) or classified deployments
  • Experience launching enterprise products and driving adoption in large, complex organizations — ideally including US Government or other highly regulated customers
  • Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
  • US citizenship and ability to obtain and hold a security clearance
  • [Preferred] Active US security clearance (i.e. Top Secret, or TS/SCI)

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

$181,700—$249,800 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

$172,600—$237,325 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

$154,400—$212,300 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.

Source

Posted by Databricks on their own hiring page, databricks.com. OptiTalent shows it as published, read 07 Nov 2026 01:29 UTC; the original is the reference.

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