Sr Compensation Manager

Abnormal AI Abnormal AI · Vertical AI · United States · Remote · Total Rewards & People Tech

This role is for a Sr Compensation Manager at an AI-first company. The primary focus is on managing and scaling compensation programs, including market analysis, salary structures, and compensation review cycles. The role requires leveraging AI tools to enhance efficiency and defensibility of compensation functions, and partnering with various teams to provide compensation expertise. Experience with AI tools for compensation work and a point of view on AI's impact on compensation are essential.

What you'd actually do

  1. Design, implement, and administer base pay, short-term incentives, equity grants, and long-term incentive programs
  2. Conduct market analysis and salary surveys (Radford, Mercer) to ensure pay competitiveness against benchmarks
  3. Develop and maintain salary structures, job leveling frameworks, and pay guidelines that scale with the business
  4. Manage compensation review processes including merit increases, promotions, bonus payouts, and equity grants
  5. Analyze compensation data to surface trends, anomalies, and equity gaps before they become problems

Skills

Required

  • 5-7+ years of progressive compensation experience in a global tech company
  • Hands-on experience with Radford and/or Mercer salary surveys
  • Deep knowledge of compensation principles, program design, and applicable regulations
  • Experience leading pay transparency initiatives and pay equity analyses (including statistical methods and tools such as Syndio)
  • Demonstrated experience applying AI tools to compensation work - such as building prompts to systematize market pricing, reporting, or analysis
  • Have a point of view on where AI can make compensation programs smarter and more efficient.
  • Experience with SOX compliance and comp program evolution across pre- to post-IPO stages
  • Proven ability to analyze complex data and translate it into clear, actionable recommendations for non-technical audiences
  • Strong communication, presentation, and stakeholder management skills
  • Proficiency in HRIS systems, with Workday experience required
  • Advanced proficiency in Google Sheets / Excel for compensation modeling

Nice to have

  • Experience with Pave (strong preference given our current tech stack)
  • Experience with Proxy Disclosures and Compensation Committee reporting
  • Exposure to supporting sales compensation or partnering closely with Sales Operations
  • Experience building or scaling a compensation function in a high-growth environment
  • Bachelor's degree in Business, Finance, HR, or related field
  • Based on the West Coast

What the JD emphasized

  • AI tools
  • compensation programs
  • pay transparency
  • pay equity analyses
  • SOX compliance