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Senior Compensation Manager, GTM

Databricks · United States

$217.8k – $299.55k / yr

Original employer posting ↗

(GAQ327R299)

Databricks is looking for a strategic compensation leader who likes to build. You'll be a trusted partner to founders and senior leadership in our Go-To-Market (GTM) organization. You'll work with them to create compensation solutions that help us attract, retain and motivate world-class GTM talent, and you'll use AI to build the tools that make those solutions scale. This role reports to the Director of Compensation.

At Databricks, we don't think of compensation as just a number. It's how we recognize that every employee is an owner and part of our success. We're looking for someone with a strong foundation and a track record of doing exactly that.

What it takes to thrive

Databricks is a deeply technical, fast-moving environment, and our GTM organization is a key engine of our growth. You'll partner with dynamic, data-driven leaders who value rigorous analysis, clear perspectives, and collaborative problem-solving. In this role, priorities can evolve quickly, and you'll often navigate multiple important initiatives at once.

We set high standards for this role to support our fast-paced growth. Successful team members in this environment tend to:

  • Build trust through analytical rigor. You present well-reasoned models and effectively articulate complex analysis to quantitative leaders.
  • Navigate fast-paced priorities with resilience. You maintain focus, sound judgment, and positivity when balancing competing deadlines and feedback.
  • Offer constructive perspectives. You confidently partner with senior stakeholders to propose data-backed alternative solutions and drive alignment to finalize decisions.
  • Embrace feedback as a growth tool. You extract actionable insights from feedback and respond with clarity and openness.
  • Create order from ambiguity. When there's no playbook, you build one, and you're comfortable acting on 80% of the information.

If you are excited by high standards, technical depth, and collaborative strategic discussions, you will find this work deeply rewarding.

The impact you will have

This is a hands-on, high-impact role. Expected time on each area:

GTM compensation solutions and strategic advice (40%)

  • Work directly with GTM leaders to diagnose talent challenges such as competitive attrition, hard-to-fill roles, rapid scaling and reorganizations, and design attraction and retention solutions that fix them.
  • Turn vague or urgent requests into clear options with explicit tradeoffs, then help leaders reach a decision.
  • Serve as the main compensation advisor on strategic executive hires and high-stakes retention situations.

AI-enabled lifecycle compensation (30%)

  • Run merit, refresh equity and promotion cycles end to end for global GTM teams.
  • Design and build AI tools and workflows that reduce manual work and improve decisions. Examples include offer modeling, retention-risk analysis, cycle quality checks, and self-serve insights for leaders.
  • Spot what's repetitive or error-prone in today's processes and automate it.

Enterprise compensation frameworks (30%)

  • Help scale Databricks' global compensation structure, including market pricing models, pay-for-performance design and equity strategy.
  • Build frameworks that solve today's problems and anticipate the ones coming as we grow.

What we look for

Quantitative and technical skill is the foundation of this role. Everything else we look for builds on it.

1. Quantitative and technical foundation (required)

  • Expert-level analytical modeling. You build compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis.
  • Built with AI. You've personally used AI tools (for example LLMs, AI assistants, or automation and agent platforms) to build compensation tools, models or workflows that others rely on. You don't need to be a software engineer, but you should be able to explain how it works, what you'd improve, and how you checked that its outputs were accurate.
  • Equity fluency. You understand RSU and option mechanics, vesting design, refresh strategy, and how grant values and share price movement affect cost and retention.
  • Statistical judgment. You know when a market data cut is credible, when a sample is too small, and how to present ranges and market pricing without false precision.

2. Compensation expertise (required)

  • You know your craft. Job architecture, compensation frameworks, market pricing, year-end and mid-year pay cycles, global compensation practices, and pay-for-performance design.
  • You know the competition. Deep knowledge of competitor compensation, especially new-hire and refresh equity strategy at high-growth and public tech companies.
  • You reason from first principles. You balance compensation best practice with what the business actually needs, and you can rebuild a framework from its underlying logic when the standard approach doesn't fit.

3. Strategic partnership (required)

  • Trusted advisor to senior leaders. You have a track record of advising executives on sensitive, high-stakes compensation decisions (offers, promotions, leveling, retention, transfers, org changes) and influencing the outcome through data and judgment rather than authority.
  • Operational excellence. You connect the dots between systems, stakeholders and programs to deliver compensation programs end to end, accurately and on time.
  • Clear communicator. You turn complex analysis into a crisp recommendation an executive can act on in one conversation.

Nice-to-haves

  • Experience with Tableau or other BI tools, or building dashboards for leaders.
  • Experience supporting GTM or sales organizations at a high-growth tech company.
  • Experience scaling compensation programs through hypergrowth, IPO, or major organizational change.
  • A background in a quantitative field (for example finance, statistics, engineering), or equivalent experience.

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.

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