# Compensation Manager

**Company**: Scale
**Location**: San Francisco, CA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $172,800-$259,000 USD
**Category**: HR
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4683058005
**Canonical**: https://yubhub.co/jobs/job_dd55dfa6-a64

## Description

We're looking for a Compensation Manager to join our Total Rewards team. In this role, you'll help build and evolve our global compensation programs by providing analysis, insights, and modeling. Our biggest investment is our people, and we're seeking someone analytical, fast-paced, and excited about solving hard problems.

Responsibilities: Perform quantitative analyses to assist Leadership with key projects Conduct market benchmarking to determine pay targets and support business growth Contribute to the research, design, and delivery of compensation programs Support international expansion and M&A initiatives Collaborate with the Recruiting team on offer escalations and process optimization Develop and maintain tools to enhance efficiency of programs Build and integrate AI into Comp workflows Drive clarity, transparency, and understanding of compensation at Scale

Requirements: 6+ years experience on Compensation teams Experience with compensation programs, benchmarking, and market pricing. Experience with Radford and Pave is a plus. Ability to analyze large datasets and draw actionable insights Comfort working in a ultra fast paced environment Eagerness to build, learn, and grow

Nice to haves: Understanding of international compensation practices and regulatory environments Experience with pre-IPO equity programs Familiarity with AI tools (if not, we will teach you!)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

## Skills

### Required
- compensation programs
- benchmarking
- market pricing
- Radford
- Pave
- AI

### Nice to have
- international compensation practices
- pre-IPO equity programs
- AI tools