Sr. Compensation Manager, R&D

Sorry, this job was removed at 08:27 p.m. (UTC) on Tuesday, Aug 11, 2026
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2 Locations
In-Office
218K-300K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Sr. Compensation Manager will develop compensation models, manage processes in the employee life cycle, and partner with leadership to address business needs.
Summary Generated by Built In

GAQ127R143

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!

Scope of the role

This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:

  • 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

We’re looking for someone who has the following muscles:

Comp expertise

  • Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global compensation practices, pay for performance design 
  • Know your data - Exceptional analytical skills with the ability 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 required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement
  • 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 not just solve today’s issues but also thinking ahead and anticipating future needs
  • Operational capability - Ability to connect the dots between systems, players, programs to seamlessly deliver compensation programs/ products
  • Savvy collaborator - Partner closely with founders and executive leadership to pre-empt, understand and solve business needs. Navigate at times 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 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
$217,800$299,550 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.

Skills Required

  • Expertise in job architecture, compensation frameworks, and market pricing
  • Exceptional analytical skills with data synthesize capabilities
  • Advanced Excel and gSheets skills
  • Knowledge of tech compensation practices
  • Ability to create innovative compensation solutions and frameworks

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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