Senior Compensation Strategy & Systems Manager

Replit, Inc.; Foster City (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) Program with 4% match

Health, Dental, Vision Insurance

Flexible Time Off + Holidays

Autonomous Work Environment

Job summary

Replit, Inc. is seeking a Compensation Architect to redefine compensation systems within a high-growth AI coding platform. This full-time role based in Foster City requires designing scalable compensation strategies and leveraging data and AI for fast decision-making.

The ideal candidate has over 8 years of experience in compensation or related fields and excels in building effective compensation workflows. The role also offers an innovative and collaborative work environment.

Qualifications

• 8+ years in compensation or related analytical roles, ideally in tech.
• Deep expertise in salary bands, equity design, and market benchmarking.
• Strong systems thinker, translating policy into workflows.
• Product mindset with focus on users and iterations.
• Ability to partner with Data and Engineering teams.

Responsibilities

• Evolve compensation philosophy and maintain salary bands and equity structures.
• Define compensation data schemas and build tech stack.
• Design AI-enabled workflows for offers and promotions.
• Generate recommendations for compensation decisions.

Skills

Compensation strategy

Data architecture

AI-native workflows

Decision support analytics

Systems thinking

Strong ownership

Tools

Pave

Radford

Rippling

Lattice

Ashby

Carta

Google Sheets

Job description

Replit is a platform that enables anyone to build applications using natural language.

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 platform integrations, and security/permissioning standards.

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.
• Comfortable partnering with Data/Engineering teams on data architecture and internal tooling.
• 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 role may not be a fit if

• You prefer operating within established compensation programs rather than building systems from scratch.
• You think of compensation primarily as a cyclical process rather than a continuous system.
• You rely heavily on manual analysis and spreadsheets without seeking automation.
• You are uncomfortable making high‑stakes decisions in ambiguous situations.
• You prefer highly structured, process‑heavy environments over speed and iteration.
• You are hesitant to adopt AI and new technologies to transform how work gets done.
• You prefer managing large teams rather than operating as a high‑impact builder.

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)

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.