Senior Compensation Manager, GTM

Databricks

. Partner with GTM leaders to diagnose talent challenges including competitive attrition, hard-to-fill roles, rapid scaling, and reorganizations .

Posted 11/2/2026full-timeRemote • Texas • United StatesSenior💰 $174,200 - $299,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level analytical modeling and the ability to design and implement compensation frameworks that address growth challenges. Proficient in utilizing AI tools for compensation modeling and delivering end-to-end compensation programs accurately and on time.

Highest-signal resume keywords

Expert-Level Analytical ModelingAI Tools UtilizationCompensation Framework DesignMarket Pricing KnowledgeExecutive Advisory Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical ModelingCompensation FrameworksMarket Pricing AnalysisRetention-Risk ModelingStatistical JudgmentJob Architecture KnowledgePay-For-Performance DesignRSU Mechanics UnderstandingCompensation Program DeliveryQuantitative Analysis

Soft Skills

Clear CommunicationDecision-MakingProblem-SolvingExecutive Recommendation

Tools & Technologies

AI AssistantsAutomation PlatformsTableauBusiness Intelligence Tools

Industry Keywords

Global Compensation PracticesHigh-Growth Technology CompaniesCompetitive CompensationEquity StrategyOrganizational Change

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Partner with GTM leaders to diagnose talent challenges including competitive attrition, hard-to-fill roles, rapid scaling, and reorganizations
Design attraction and retention compensation solutions
Translate vague or urgent requests into clear options with explicit tradeoffs and help leaders reach decisions
Advise on strategic executive hires and high-stakes retention situations
Run merit, refresh equity, and promotion cycles end to end for global GTM teams
Design and build AI tools and workflows for offer modeling, retention-risk analysis, cycle quality checks, and self-serve leader insights
Identify repetitive or error-prone processes and automate them
Help scale Databricks' global compensation structure, including market pricing models, pay-for-performance design, and equity strategy
Build compensation frameworks that address current and anticipated growth challenges
Report to the Director of Compensation

Requirements

What you’ll need

Expert-level analytical modeling, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis
Personal experience using AI tools such as LLMs, AI assistants, automation platforms, or agent platforms to build compensation tools, models, or workflows
Ability to explain AI tool functionality, identify improvements, and validate output accuracy
Understanding of RSU and option mechanics, vesting design, refresh strategy, and effects of grant values and share-price movement on cost and retention
Statistical judgment regarding market-data credibility, sample sizes, ranges, and market pricing
Knowledge of job architecture, compensation frameworks, market pricing, year-end and mid-year pay cycles, global compensation practices, and pay-for-performance design
Deep knowledge of competitor compensation, especially new-hire and refresh equity strategy at high-growth and public technology companies
Track record advising executives on sensitive, high-stakes compensation decisions involving offers, promotions, leveling, retention, transfers, and organizational changes
Ability to deliver compensation programs end to end, accurately and on time
Ability to turn complex analysis into clear executive recommendations
Experience with Tableau or other BI tools, or building dashboards for leaders
Experience supporting GTM or sales organizations at a high-growth technology company
Experience scaling compensation programs through hypergrowth, IPO, or major organizational change
Background in a quantitative field such as finance, statistics, or engineering, or equivalent experience

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks, with region-specific details provided by Databricks
Equal employment opportunity and inclusive hiring practices