Scale AI

Compensation Manager

Scale AI$172K — $216K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in Compensation teams
  • Familiar with compensation programs, benchmarking, and market pricing
  • Ability to analyze large datasets for actionable insights
  • Comfortable in a fast-paced work environment
  • Eager to learn and grow
  • Experience with Radford and Pave is a plus

Responsibilities

  • Perform quantitative analyses to assist Leadership on key projects
  • Conduct market benchmarking to set pay targets
  • Contribute to the design and delivery of compensation programs
  • Support international expansion and M&A initiatives
  • Collaborate with Recruiting on offer escalations and process optimization
  • Develop tools to enhance efficiency of compensation programs
  • Integrate AI solutions into compensation workflows
  • Promote clarity and understanding of compensation structures at Scale

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous paid time off
  • Potential for commuter stipend
Full Job Description
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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$172,800-$216,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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