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Sr. Compensation Manager GTM

Open 33d posting dated 6 days ago

(GAQ327R299)

Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go To Market) org. 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. This role reports to the Senior Director of Compensation.

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!

The impact you will have:

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 GTM talent (40%)
  • Managing Compensation processes through the employee life cycle (30%)
  • Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)

What we look for:

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

Compensation expertise

  • Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, 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
  • 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 to think ahead and anticipate future needs
  • Operational capability - connect the dots between systems, players, and 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 competing priorities and opinions to drive the best outcomes
  • Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, transfers, and org changes; 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 base 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 anticipated 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
Zone 2 Pay Range
$196,100—$269,600 USD
Zone 3 Pay Range
$185,200—$254,650 USD
Zone 4 Pay Range
$174,200—$239,600 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.

Applicant Privacy Notice

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What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Preferred First Name
  • LinkedIn Profile optional
  • Website optional
  • How did you hear about this job? optional
  • Are you legally authorized to work in the country in which you are applying? choose one
  • Do you now or will you in the future need sponsorship for employment visa status in the country in which you are applying? choose one
  • Do you currently or have you previously worked for Databricks in the past? choose one
  • Please confirm whether any of the below applies to you. Select all that apply. Note: This information will only be used to ensure compliance with U.S. sanctions and export controls. choose any
  • If you selected a response to the prior question other than “none of the above,” please confirm whether any of the following also applies to you. Select all that apply. choose any
  • Describe a time in a previous tech-industry role when you realized that standard, off-the-shelf market benchmark data was lagging or failing to capture the actual competitive reality for a business-critical talent segment (e.g., during an aggressive talent war, shifting equity trends, or a specialized hiring push). In your response, please walk us through: 1. How you used first-principles reasoning to define the problem rather than defaulting to standard compensation "rules of thumb." 2. How you analyzed the data specifically highlighting any advanced tools, modeling, or custom analytics (like Excel/gSheets, SQL, or AI-assisted workflows) you built to diagnose the trend and project the cost/benefit of your solution. 3. The new-hire or refresh equity strategy you designed to combat this competition, and how you balanced market competitiveness with rational internal equity and budget constraints. written answer
  • Describe a highly sensitive, high-stakes talent situation (such as a critical executive offer, a major retention crisis, or an organizational restructuring) where you had to partner closely with founders or executive leadership to deliver a solution that was both operationally seamless and strategically sound. In your response, please address: 1. How you analyzed the situation to deliver a data-backed recommendation that balanced the founders' or executives' immediate business needs with long-term compensation strategy and scaling goals. 2. How you navigated competing priorities, strong executive opinions, or pushback to gain trust and align everyone on the final decision. 3. How you "connected the dots" operationally across systems, teams (such as HR, Finance, and Legal), and programs to ensure the solution was executed flawlessly. written answer

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