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 shape global compensation strategy and programs for Atoms’ complex business groups, partnering with senior leaders and advancing data products and AI-driven automation.
What you'll do
- Advise business unit leaders and HRBPs on compensation; lead annual and promotion cycles and international compensation strategy.
- Set the roadmap for compensation data products and promote AI agents and automation to reduce manual analysis.
- Partner with HRIS and Total Rewards Operations on data integrity and operational excellence; mentor People team members.
What they ask for
- 7–10 years of progressive experience in global compensation, total rewards, or human capital management consulting, and 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, and working knowledge of international 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 with compensation data products/tools, equity management, executive compensation, Workday, or SQL/Python/Tableau.
Pay
$180,000 - $215,000 per year (base salary)
Tools
Workday, SQL, Python, Tableau
AI focus
Identify where AI agents and automation can replace manual analysis, and lead an AI-first approach across the team.
Model-written summary · the original posting is authoritative