обновлено 1 час назад
Senior Compensation Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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