В Databricks хорошо очерченная senior-роль с влиянием на стратегические решения и созданием AI-инструментов; быстрый темп и высокие требования могут создавать постоянную нагрузку.
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Высокий темпЧёткие задачиРабота с AIСильная компанияВыше рынка
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Compensation Manager, GTM (AI): Building and scaling global GTM compensation solutions, frameworks, and AI-enabled workflows with an accent on analytical modeling, equity strategy, and pay-for-performance design. Focus on advising senior leaders on high-stakes compensation decisions, automating lifecycle processes, and solving complex retention, market pricing, and organizational growth challenges.
Location: United States
Salary: $174,200–$299,550 USD annual base salary, depending on pay zone and location; total compensation may also include an annual performance bonus, equity, and benefits.
Company
Databricks is a Data and AI company providing a unified platform for data, analytics, AI applications, and agents to more than 20,000 organizations worldwide.
What you will do
Partner with GTM leaders to diagnose talent challenges and design compensation solutions for attraction, retention, scaling, reorganizations, executive hiring, and high-stakes retention situations.
Convert ambiguous or urgent requests into clear options with explicit tradeoffs and guide senior leaders toward decisions.
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-service leadership insights.
Scale global compensation structures through market pricing models, pay-for-performance design, equity strategy, and adaptable frameworks.
Requirements
Expert-level analytical modeling, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis.
Hands-on experience using AI tools, LLMs, AI assistants, or automation and agent platforms to build compensation tools, models, or workflows, including validating output accuracy.
Strong understanding of RSUs and options, vesting design, refresh strategy, and the effect of grant values and share-price movement on cost and retention.
Sound statistical judgment when evaluating market data, sample sizes, ranges, and market pricing.
Expertise in 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 strategies at high-growth and public technology companies.
Experience advising executives on sensitive compensation decisions involving offers, promotions, leveling, retention, transfers, and organizational changes.
Ability to deliver compensation programs end to end, accurately and on time, while connecting systems, stakeholders, and programs.
Ability to turn complex analysis into clear recommendations that executives can act on.
Nice to have
Experience with Tableau, other business intelligence tools, or leadership dashboards.
Experience supporting GTM or sales organizations at a high-growth technology company.
Experience scaling compensation programs through hypergrowth, an IPO, or major organizational change.
Background in finance, statistics, engineering, or another quantitative field, or equivalent experience.
Culture & Benefits
Fast-moving, deeply technical environment with data-driven leaders and high standards for analytical rigor, judgment, resilience, and collaboration.
Work involves balancing multiple priorities, navigating ambiguity, incorporating feedback, and building new playbooks where none exist.
Benefits and perks are offered according to the employee's region.
Employment includes potential annual performance bonus, equity, and region-specific benefits.
Databricks is committed to inclusive hiring and equal employment opportunity.
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