Databricks

Databricks

Posted via Greenhouse

Sr. Product Manager, Data Governance

Posted Aug 5, 2026

Role at a glance

Salary
$156.6K – $215.3K/yr
Location
San Francisco, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of enterprise B2B Product Management experience
Education
Educational background in computer science or related engineering practice.

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Role Summary

AI-generated

The Sr Product Manager will lead product activities for Unity Catalog, Databricks’ metadata and governance foundation for the Lakehouse. The role focuses on developing governance and security capabilities and platform services that support data and AI products and customer adoption.

What You'll Do

  • Design and launch new governance and security capabilities as part of Unity Catalog.
  • Define and build platform services that enable Databricks’ data and AI product teams to add workload-specific governance capabilities.
  • Take new features from customer ideation and exploration through launch and rollout, including marketing, field enablement, and customer...
  • Bring insights about the data governance persona, customers, and market to engineering and leadership teams through work with customers...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

5+ years of enterprise B2B Product Management experience; experience working with databases and/or data warehouses, security, and catalogs; experience building user-facing products for Data Analysts, Scientists, and/or Engineers; strong track record of delivering products with cross-functional teams common to the enterprise software industry; experience working closely with enterprise customers and ISV partners in the data market.

Required

  • 5+ years of enterprise B2B Product Management experience
  • Educational background in computer science or related engineering practice
  • Experience working with databases and/or data warehouses, security, and catalogs
  • Experience building user-facing products for Data Analysts, Scientists, and/or Engineers
  • Strong track record of delivering products with cross-functional teams common to the enterprise software industry
  • Experience working closely with enterprise customers and ISV partners in the data market

Original job description

Content provided by the employer

RDQ226R497

At Databricks, we are passionate about enabling data teams to 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 so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

  • Design and launch new governance and security capabilities as part of Unity Catalog.
  • Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
  • Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
  • Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

  • 5+ years of enterprise B2B Product Management experience
  • Educational background in computer science or related engineering practice.
  • Experience working with databases and/or data warehouses, security, and catalogs.
  • Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
  • Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
  • Experience in working closely with enterprise customers and ISV partners in the data market.

 

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

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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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.