Назад
3 часа назад

Senior Compensation Manager, GTM (AI)

217 800 - 299 550$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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