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Sr. Compensation Manager

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Databricks
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 217800 - 299550 USD Yearly USD 217800.00 299550.00 YEAR
Job Description & How to Apply Below

Overview

GAQ
127R143

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role on the Compensation function at Databricks, reporting to the Senior Director of Compensation.

This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent. At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!

Responsibilities
  • Compensation solutioning for R&D Talent (40%)
  • Managing Compensation processes through the employee life cycle (30%)
  • Contributing to building and delivering enterprise-wide compensation programs/frameworks (30%)
Requirements
  • Comp expertise — Job architecture, compensation frameworks, market pricing, year-end and midyear pay cycle, global compensation practices, pay-for-performance design
  • Know your data — exceptional analytical skills to synthesize complex data into clear outputs and recommendations; analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs; advanced capabilities in Google Sheets/Excel; knowledge of Tableau, SQL, Python or AI for comp analytics (preferred but not required)
  • Know the competition — deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector
  • Be rational — ability to balance comp knowledge with business solutioning from a first-principles viewpoint
Operational and partnership excellence
  • Build innovatively & scale effectively — create innovative frameworks/solutions to solve today’s issues and anticipate future needs
  • Operational capability — ability to connect the dots between systems, players, programs to deliver compensation programs/products
  • Savvy collaborator — partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes
  • Trusted advisor — act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention and M&A scenarios; support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and work location. Databricks anticipates utilizing the full width of the range.

The total compensation package may include eligibility for annual performance bonus, equity, and the listed benefits. For more information regarding which range your location is in, visit our page here.

Zone 1 Pay Range

$217,800—$299,550 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter, Linked In and Facebook.

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, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a…

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