Compensation Manager
crypto:applicationopsM2People
Compensation
Not disclosed
Scale 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
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or train