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Senior Compensation Manager

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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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Senior Compensation Manager (AI/Cybersecurity): Managing compensation programs, market analysis, salary structures, review cycles, equity operations, and pay transparency initiatives with an accent on data-driven decision-making and scalable program design. Focus on analyzing pay equity, building compensation dashboards, applying AI tools to compensation workflows, and translating complex recommendations for business leaders.

Location: Based on the West Coast is preferred.

Company

hirify.global develops AI-native detection technology to protect organizations from sophisticated cyber threats.

What you will do

  • Design, implement, and administer base pay, short-term incentives, equity grants, and long-term incentive programs.
  • Conduct Radford and Mercer market analysis, maintain salary structures and job-leveling frameworks, and manage compensation review cycles.
  • Own equity budgeting and tracking, support Compensation Committee materials, and coordinate equity operations with Finance.
  • Analyze compensation data, identify trends and equity gaps, and build dashboards and reports for senior leadership.
  • Advise People Business Partners, Finance, Talent Acquisition, and GTM leaders; deliver compensation training and communications.
  • Lead compensation projects such as system implementations, program redesigns, pay equity analyses, and AI-enabled workflow improvements.

Requirements

  • 5–7+ years of progressive compensation experience in a global technology company.
  • Hands-on experience with Radford and/or Mercer salary surveys, compensation program design, pay transparency, and pay equity analysis.
  • Experience with statistical methods, tools such as Syndio, SOX compliance, and compensation programs across pre- to post-IPO stages.
  • Experience applying AI tools to market pricing, reporting, analysis, training materials, or communications.
  • Workday experience is required, along with advanced Google Sheets or Excel skills for compensation modeling.
  • Strong analytical, communication, presentation, and stakeholder-management skills.

Nice to have

  • Experience with Pave, Proxy Disclosures, and Compensation Committee reporting.
  • Exposure to sales compensation or close partnership with Sales Operations.
  • Experience scaling a compensation function in a high-growth environment.
  • Bachelor's degree in Business, Finance, HR, or a related field.
  • Based on the West Coast.

Culture & Benefits

  • Individual contributor role within the Total Rewards function.
  • Opportunity to use AI tools such as Claude and Pave AI features to improve compensation operations.
  • Role may include equity, annual bonus or incentive compensation, and a comprehensive benefits package.
  • Employment is subject to applicable legislation, security and privacy standards, identity validation, and pre-employment checks.

Hiring process

  • Recruiting uses AI-assisted tools to prepare interview questions, but hiring decisions are made by people.
  • Video interviews and applicant identity validation may be conducted during the process.
  • Successful candidates must complete pre-employment checks before receiving a final offer.

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