Compensation Manager
Scale AI · San Francisco, CA · People
director
People Partner
hybrid
$172,800 – $259,000
USD per year
Skills
About this role
Scale AI is hiring a director-level People Partner based in San Francisco, CA. The posting calls out experience with Full Stack. Compensation is listed at $172,800–$259,000 per year.
- Role
- People Partner
- Function
- people
- Level
- director
- Track
- hybrid
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- People
More roles at Scale AI
Finance Fellow - Human Frontier Collective (US)
United States · principal
LLMs Full Stack
Finance Systems & Automations Manager
San Francisco, CA · director
LLMs API Development Full Stack
Forward Deployed AI Engineer, Enterprise
San Francisco, CA | New York City, NY · mid
Python AWS GCP
Forward Deployed AI Engineering Manager, Enterprise
San Francisco, CA | New York City, NY · manager
Python AWS GCP
Forward Deployed AI Engineering Manager, GenAI Applications
Berlin, Germany | London, United Kingdom · manager
AWS GCP Azure
All Scale AI jobs →
Job description
from Scale AI careersScale is 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. We're seeking someone analytical, fast-paced, and excited about solving hard problems that impact our biggest investment - our people. You'll play a key role in designing and scaling our compensation processes as we continue to grow.
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
This is an excerpt. Read the full job description on Scale AI careers →