Senior Compensation Strategy Manager

Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale.

You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. This role sits at the intersection of compensation, product, and systems design.

You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows—eliminating manual processes and reducing reliance on comp as a service layer.

You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business.

- Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures

- Ensure market competitiveness while partnering with Finance on cost and workforce planning

- Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments

- Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic

- Operate compensation planning cycles and generate first-pass recommendations for comp decisions

- Build dashboards and analytical frameworks covering market competitiveness, internal equity, retention risk, and workforce cost

- 8+ years in compensation, total rewards, or related analytical roles, ideally at a high-growth tech company

- Deep expertise in salary bands, equity design, and market benchmarking (broad-based, sales, and executive)

- Strong systems thinker who can translate policy into scalable workflows and decision logic

- Product mindset - you think in terms of users, workflows, and iteration

Nice to have: Experience at an AI-native company

• Prior internal tools or engineering-adjacent work

Tools: Pave, Radford, Rippling, Lattice, Ashby, Carta, Google Sheets, internal AI/automation tooling