Replit

Technology

SeniorCompensationStrategy&SystemsManager

$171–250k Foster City, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Compensation Strategy & Systems Manager at Replit. Skills: Compensation strategy, Systems architecture, AI workflows. Evolve compensation philosophy. Design salary bands”

What You'll Achieve.

Make compensation decisions at scale; Improve speed of decisions; Improve accuracy of decisions; Improve transparency of decisions; Eliminate manual processes; Reduce reliance on comp as service

Industry & Context.

Technology
Problems you'll solve

Translating policy into scalable workflows; Translating policy into decision logic

Eligibility Requirements

In-office requirement, Monday, Wednesday, Friday in office

What They're Looking For.

Must Have

8+ years in compensation, 8+ years in total rewards, 8+ years in related analytical roles, Deep expertise in salary bands, Deep expertise in equity design, Deep expertise in market benchmarking, Systems thinker, Product mindset, Comfortable partnering with Data/Engineering teams, High willingness to operate hands-on

Nice to Have

Experience at an AI-native company, Prior internal tools work, Prior engineering-adjacent work

What You'll Do.

Evolve compensation philosophy

Maintain salary bands

Design leveling frameworks

Maintain leveling frameworks

Design equity structures

Maintain equity structures

Ensure market competitiveness

Partner on cost planning

Partner on workforce planning

Define compensation data schemas

Define pipeline requirements

Define unified data models

Own compensation tech stack

Build vs. buy decisions

Integrate HRIS/ATS/equity platforms

Define security standards

Define permissioning standards

Design AI-enabled workflows

Implement AI-enabled workflows

Build validation frameworks

Audit AI recommendations

Operate compensation planning cycles

Generate first-pass recommendations

Build analytical frameworks

How You'll Work.

Team & Collaboration

Partner with People Business Partners; Partner with Recruiting; Partner with Finance; Partner with People Operations; Partner with Data team

Full 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. It's a rare opportunity to bring a product and engineering mindset to a people function that most companies still run on spreadsheets. 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 Systems & Data Architecture - Partner with Data Science to define compensation data schemas, pipeline requirements, and unified data models that allow AI agents and internal tools to query compensation data seamlessly - Own the compensation tech stack : build vs. buy decisions, HRIS/ATS/equity plat

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