Ashby home_work Remote

Senior Compensation Strategy Manager

Replit

location_on Foster City, CA payments $171K – $250K • Offers Equity schedule Full Time calendar_today 19 hours ago
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description Job Description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

Role Summary

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.

 
 
What you'll own

Compensation Strategy

• 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

AI-Native Workflows

• 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

Decision Support & Analytics

• 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

What we're looking for

• 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

• High ownership; willing to operate hands-on

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

 

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

Competitive Salary & Equity

401(k) Program with a 4% match (US Only)

⚕️ Health, Dental, Vision and Life Insurance

Short Term and Long Term Disability

Paid Parental, Medical, Caregiver Leave

Flexible Time Off (FTO) + Holidays

Commuter Benefits (In-Office Only)

Monthly Wellness Stipend

‍ Autonomous Work Environment

In Office Set-Up Reimbursement (In-Office Only)

Quarterly Team Gatherings

☕ In Office Amenities (In-Office Only)

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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