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Compensation Business Partner, Sales

Meta

Bellevue, WAJob$152–220K/yrSeen 4w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$152–220K/yr
Location
Bellevue, WA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Meta is seeking a skilled and motivated individual to join its Total Rewards Team, focusing on Sales Compensation, to own complex high‑impact areas of sales incentive programs, drive cross‑functional initiatives, and improve how Meta designs, operates, and scales sales compensation for a large global sales organization.

Skills & qualifications

RequiredNice to have

Skills

Analytical ModelingFinancial AnalysisExcelPowerPointSales Incentive CompensationCorporate Finance ConceptsProject ManagementAI Tools IntegrationEthical AI PracticesAI Skill DevelopmentMentoringVaricentXactlyCallidusCognos

Qualifications

Bachelor's in Finance Accounting Statistics or Equivalent8+ Years Analytical Modeling Financial Analysis Experience

Full job description

Summary:

Meta is seeking a skilled and motivated individual to join our Total Rewards Team, focusing on Sales Compensation. In this role, you will own complex, high-impact areas of our sales incentive programs and drive cross-functional initiatives that improve how Meta designs, operates, and scales sales compensation for a large, global sales organization. You will be a trusted subject-matter expert who solves ambiguous problems, influences partners across HR, Sales Operations, Legal, Data Science, and Finance, and elevates the rigor of the broader compensation function. This is a role for someone who combines deep technical expertise with demonstrated ability to connect compensation program decisions to broader business objectives and can effectively prioritize work and adapt to shifting business needs.

Required Skills:

Compensation Business Partner, Sales Responsibilities:

  1. Own the accuracy, timeliness, and integrity of sales incentive payments for a large sales organization, and drive improvements to the underlying processes and controls

  2. Lead the design and maintenance of the systems, processes, and data that power sales incentive plans, identifying and eliminating sources of risk and manual effort

  3. Update and audit data at the detailed Payout, Payee, and Revenue level to ensure success of compliance and overall alignment

  4. Partner with HR, Sales Operations, Sales and Data Engineering teams to setup accurate quotas, territory assignments and revenue crediting

  5. Gather and standardize data from regional Sales Operations to fit Global templates

  6. Perform and validate complex sales compensation calculations, including the most ambiguous or high-stakes cases

  7. Lead weekly/quarterly data audits and system maintenance to ensure accurate payee records and comp design components (component weightings, quotas, accelerator rates, and tiers)

  8. Drive the design and implementation of system enhancements — shaping requirements and owning user acceptance testing for calculation logic, data tables, and reporting across the incentive compensation system and related CRM and revenue tools

  9. Ensure the Sales Compensation payout process, controls and documentation are in accordance with SOX requirements

  10. Own and continuously improve the quarterly process to create/change, publish, and obtain sign-offs on individual compensation plan documents and calculator tools

  11. Serve as an escalation point for complex sales team queries

  12. lead quarterly training on sales incentives and provide ad hoc enablement as needed

  13. Research and resolve quota and payout inconsistencies, and partner with Data Engineering to drive resolution of systemic issues

  14. Develop and track metrics to assess the effectiveness of the sales incentive compensation program

  15. Provide support for cross-functional compensation related inquiries and requests (e.g. payroll, accounting accruals, SOX support)

Minimum Qualifications:

Minimum Qualifications:

  1. 8+ years of analytical, modeling, and financial analysis experience, including hands-on sales/incentive compensation experience

  2. BA/BS in Finance, Accounting, Statistics or equivalent

  3. Proven track record of leading complex, cross-functional projects and driving initiatives to completion with limited direction

  4. Excel and PowerPoint experience

Preferred Qualifications:

Preferred Qualifications:

  1. Strong understanding of corporate finance concepts

  2. Experience managing multiple concurrent projects by defining milestones, tracking dependencies, and communicating status to stakeholders

  3. Deep experience with sales compensation design and operations at scale

  4. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

  5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

  6. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

  7. Experience mentoring others and establishing best practices within a team

  8. Experience with compensation software tools such as Varicent, Xactly, Callidus, or Cognos

Public Compensation:

$152,000/year to $220,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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