Sr. Compensation Manager

Replit Replit · Enterprise · Foster City, CA · Hybrid · People

This role is for a Sr. Compensation Manager at Replit, an agentic software creation platform. The primary responsibility is to design and operate an AI-native compensation system as the company scales. This involves building systems, workflows, and logic for compensation decisions, acting as the architect of the compensation engine, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. The role requires a strong systems and product mindset, with experience in compensation strategy, building internal tools, and cross-functional partnership. The goal is to embed compensation into company workflows, reduce manual processes, and create an always-on, real-time compensation system.

What you'd actually do

  1. Evolve the company’s compensation philosophy across cash and equity
  2. Design and build a scalable compensation engine that powers: Offer generation, Job leveling and benchmarking, Merit and promotion recommendations, Pay equity monitoring
  3. Redesign and operate compensation planning processes (merit, promotions, market adjustments)
  4. Build and maintain compensation models to support: Offer strategy, Equity scenarios, Workforce cost planning
  5. Design and implement AI-enabled workflows across compensation processes

Skills

Required

  • 8+ years of experience in compensation, total rewards, or related analytical roles, including experience in scaling or high-growth tech companies
  • Deep expertise in compensation strategy, including salary bands, equity design, and market benchmarking
  • Strong systems thinking—you can translate policy into scalable workflows and decision logic
  • Product mindset—you think in terms of users, workflows, and iteration
  • Experience building or partnering on internal tools, automation, or AI-enabled workflows
  • Strong analytical and modeling skills, with the ability to translate data into clear decisions and recommendations
  • Experience supporting senior-level hiring, promotions, and executive compensation decisions
  • Demonstrated ability to operate in ambiguous, fast-paced environments
  • Strong cross-functional partnership skills, particularly with Finance, Recruiting, and HRBPs
  • High ownership mindset with a willingness to operate hands-on

Nice to have

  • Experience in a product or systems role within People/HR
  • Experience at an AI-native company
  • Experience building internal tools or working closely with engineering teams

What the JD emphasized

  • AI-native compensation system
  • building the systems, workflows, and logic
  • architect of our compensation engine
  • leveraging data, automation, and AI
  • AI-enabled workflows