Compensation Lead

About the People Team:

The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business.

About the Role:

We are seeking a detail oriented and analytically sound Compensation Lead to own the end-to-end management of our compensation systems. You will be responsible for ensuring systems like Radford (survey reporting) and Pave (cycle management) are set up to support Affirm’s policies, procedures, and employees. In this role you will play a key role in the day to day compensation operations and ensuring our programs are effective and competitive.

What You’ll Do:

• Manage the end-to-end administration of our semiannual compensation processes

• Develop and participate in all components of our annual compensation studies to evaluate Affirm’s competitive market positioning, including: auditing roles (responsibilities, activities, duties, and requirements), job responsibilities, activities, duties and requirements, leading our benchmarking survey submission/review process, and evaluating/recommending updates to our cash and equity compensation structures/ranges

• Conduct special projects for ad hoc compensation analyses across a variety of areas, including incentive compensation, equity programs, and pay equity analyses

• Own the pay reporting process for the various geographies Affirm supports

• Assist with compensation training and communications

What We Look For:

• 5+ years of experience in compensation or people analytics

• Experience with compensation management systems (with a strong preference towards Pave)

• Passion for working with data and an analytical mindset to turn raw data into actionable insights using various tools (Excel / Google Sheets, Sigma Computing, Claude Code, etc.)