Atoms
Senior Compensation Business Partner
$180K–$215K
Los Angeles, CA +1 · Senior · Full-time · Posted Oct 30, 2026
- Location
- Los Angeles, CA
San Francisco, California, United States - Experience
- 7–10 years in global compensation, total rewards, or human capital management consulting; 10–15 years total professional experience.
- Education
- Master's degree in Business Analytics, MBA, Economics, HR Management, or equivalent experience (desired).
About the job
Own and evolve compensation strategy and programs for Atoms’ complex business groups across multiple countries, partnering with senior leaders and HR teams.
What you'll do
- Advise business unit leaders and HRBPs on compensation needs and recommendations; lead annual and promotion cycles.
- Set the roadmap for compensation data products and promote AI-driven agents and automation to reduce manual analysis.
- Own international compensation strategy, support organizational change, maintain compensation data integrity with HRIS and operations, and mentor team members.
What they ask for
- 7–10 years of progressive experience in global compensation, total rewards, or human capital management consulting; 10–15 years of total professional experience.
- Experience owning compensation strategy, including designing frameworks in ambiguous or fast-changing environments.
- Deep expertise in U.S. compensation regulations and compliance, with working knowledge of international compensation practices across multiple markets.
- Experience advising VP+ stakeholders on high-stakes compensation decisions, including executive compensation; expert analytical skills and ability to influence decisions with data.
Nice to have
- Master's degree in Business Analytics, MBA, Economics, HR Management, or equivalent experience; CCP or GRP.
- Experience building compensation data products/tools; SQL/Python/Tableau, equity management, executive compensation, or deep understanding of Workday.
Pay
$180,000 - $215,000 per year (base salary)
Tools
Workday, SQL, Python, Tableau
AI focus
Push an AI-first approach by identifying where agents and automation can replace manual analysis.
Model-written summary · the original posting is authoritative