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HomeCompaniesAbnormalSr Compensation Manager

Sr Compensation Manager

Abnormal · Remote - USA · Remote · Active · $137,700–$198,000 / year · Greenhouse

Job facts

FieldValue
CompanyAbnormal
TitleSr Compensation Manager
Normalized title-
Department / teamTotal Rewards & People Tech
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$137,700–$198,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-27 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Abnormal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Total Rewards & People Tech.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAbnormal
Source81752ea7-808f-433b-b48d-416ac8c80332
ATS providerGreenhouse

Description

About the Role Abnormal AI is on a mission to protect organizations from the most sophisticated cyber threats using AI-native detection. As we scale toward IPO and beyond, we need a Senior Compensation Manager to join our Total Rewards team as a key operational partner. Working in close collaboration with our existing Senior Compensation Partner, you will support business leaders across GTM while contributing to the evolution and day-to-day administration of our broader compensation programs This is an individual contributor role that operates at the intersection of data, operations, and people. You will own competitive market analysis, salary structures, and compensation review cycles while helping us scale our GTM comp programs thoughtfully. You bring a strong analytical foundation and the communication skills to translate complex comp decisions into clear, trusted guidance for business leaders and people partners alike. We are an AI-first company, and this role is no exception. We expect you to actively leverage AI tools to work faster and smarter, and to think at a systems level about how compensation as a function can be made more efficient and more defensible. The ideal candidate brings intellectual curiosity, a willingness to experiment, and a first-principles mindset: someone who is always asking how compensation should work at its best, and building toward that vision. What You Will Do Compensation Program Management Design, implement, and administer base pay, short-term incentives, equity grants, and long-term incentive programs Conduct market analysis and salary surveys (Radford, Mercer) to ensure pay competitiveness against benchmarks Develop and maintain salary structures, job leveling frameworks, and pay guidelines that scale with the business Manage compensation review processes including merit increases, promotions, bonus payouts, and equity grants Own equity budgeting and tracking for equity programs and contribute to Compensation Committee materials Ensure compliance with all applicable compensation laws and regulations, with particular attention to the evolving pay transparency landscape Data Analysis & Reporting Analyze compensation data to surface trends, anomalies, and equity gaps before they become problems Build and maintain compensation dashboards and reports for senior leadership Deliver data-driven recommendations that ground comp decisions in market reality and internal equity Consultation & Collaboration Partner with People Business Partners, Finance, Talent Acquisition and business leaders across GTM as the primary compensation subject matter expert Develop and deliver compensation training and communications for managers and employees Collaborate closely with Finance on equity program operations, cadence-setting, and analytical work; partner with Legal on compliance; and coordinate with Sales Compensation / Sales Operations on cross-functional comp initiatives Participate in compensation surveys and industry benchmarking initiatives Project Management Lead compensation-related projects including system implementations, program redesigns, and pay equity analyses Build project plans, timelines, and stakeholder communication plans with strong follow-through on delivery Apply AI tools (e.g., Claude and Pave AI features) to accelerate analysis, training material development, and communications Must Have Skills 5-7+ years of progressive compensation experience in a global tech company Hands-on experience with Radford and/or Mercer salary surveys Deep knowledge of compensation principles, program design, and applicable regulations Experience leading pay transparency initiatives and pay equity analyses (including statistical methods and tools such as Syndio) Demonstrated experience applying AI tools to compensation work - such as building prompts to systematize market pricing, reporting, or analysis Have a point of view on where AI can make compensation programs smarter and more efficient. Experience with SOX compliance and comp program evolution across pre- to post-IPO stages Proven ability to analyze complex data and translate it into clear, actionable recommendations for non-technical audiences Strong communication, presentation, and stakeholder management skills Proficiency in HRIS systems, with Workday experience required Advanced proficiency in Google Sheets / Excel for compensation modeling Nice to Have Skills Experience with Pave (strong preference given our current tech stack) Experience with Proxy Disclosures and Compensation Committee reporting Exposure to supporting sales compensation or partnering closely with Sales Operations Experience building or scaling a compensation function in a high-growth environment Bachelor's degree in Business, Finance, HR, or related field Based on the West Coast #LI-LG1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $137,700 — $198,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .

Full job record

Job IDb6ee85d5e89ae420b9a1e66fbde4240ff596f32e
Org ID6b8ff9fe-273e-499d-9690-4bd7d26caa46
Source ID81752ea7-808f-433b-b48d-416ac8c80332
Board ID81752ea7-808f-433b-b48d-416ac8c80332
Providergreenhouse
Provider Job Key7748678003
TitleSr Compensation Manager
Normalized Title
Statusactive
Activeyes
Location TextRemote - USA
DepartmentTotal Rewards & People Tech
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Rawsalary range: $137,700 — $198,000 USD Abnormal AI is an equal opportunity employer
Salary Min137,700
Salary Max198,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://abnormal.ai/careers/jobs/7748678003?gh_jid=7748678003
Apply URLhttps://abnormal.ai/careers/jobs/7748678003?gh_jid=7748678003
First Seen At2026-05-29 22:41:53Z
Last Seen At2026-06-06 07:33:53Z
Last Checked At2026-06-06 07:33:53Z
Last Changed At2026-05-29 22:41:53Z
Inactive At
Source Posted At2026-05-27 21:09:16Z
Source Updated At2026-05-27 21:09:16Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=abnormalsecurity/date=2026-06-06/2026-06-06T07-33-53-005Z-96a6306f9e9341671130859375d20392ba18f52fd0c140ce520908d5ce125131.json
Event Fields
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  "last_changed_at": "2026-05-29T22:41:53.871Z",
  "active_status": "active"
}
Parsed Structured
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    "country": "United States",
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  "salary_max": 198000,
  "salary_min": 137700,
  "inferred_at": "2026-06-06T07:33:53.209Z",
  "launch_scope": {
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  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "updated_at": "2026-05-27T17:09:16-04:00",
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      "name": "Total Rewards & People Tech",
      "child_ids": [],
      "parent_id": 4064135003
    }
  ],
  "company_name": "Abnormal",
  "requisition_id": 5770719003,
  "first_published": "2026-05-27T17:09:16-04:00",
  "application_deadline": null
}
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