Compensation Manager

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 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: $207,200 — $259,000 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 Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

{
  "content_hash": "5e6faf785b22b0f602538702ed8d7b075f07aefce87a879fc574b06491e66801",
  "source_hash": "f55a0adea585cd8abb85b53fef8ef3f87becdf7f4dce1ab8550e4a14c1ceacf0",
  "last_changed_at": "2026-05-29T22:40:44.686Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 259000,
  "salary_min": 207200,
  "inferred_at": "2026-06-06T20:10:24.198Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "day",
  "workplace_type": null,
  "salary_currency": "USD"
}

{}

{
  "title": "Compensation Manager",
  "offices": [
    {
      "id": 4001480005,
      "name": "San Francisco, CA",
      "location": "San Francisco, California, United States",
      "child_ids": [],
      "parent_id": 4019441005
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco, CA"
  },
  "metadata": [
    {
      "id": 7904378005,
      "name": "Domain",
      "value": null,
      "value_type": "multi_select"
    },
    {
      "id": 9832886005,
      "name": "External Department",
      "value": "People",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-05-08T12:41:20-04:00",
  "departments": [
    {
      "id": 4003440005,
      "name": "People",
      "child_ids": [
        4043959005
      ],
      "parent_id": 4142691005
    }
  ],
  "company_name": "Scale AI",
  "requisition_id": 4429545005,
  "first_published": "2026-04-08T18:21:35-04:00",
  "application_deadline": null
}