Compensation Business Partner, Sales

Meta

$130K — $180K *
Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Economics, Finance, Mathematics, Statistics, Business, or a related field.
  • 8+ years of experience in compensation, data management, or project management at a global scale.
  • Proficiency in Excel and familiarity with data analysis tools like SQL, Python, and Tableau.
  • Strong analytical and problem-solving skills with expertise in model building and data visualization.
  • Ability to influence and collaborate with leaders and cross-functional teams.
  • Excellent communication and change management skills.
  • Experience with compensation systems such as Workday or Salesforce.

Responsibilities

  • Lead high-impact sales compensation projects with cross-functional collaboration.
  • Develop success metrics to measure program effectiveness and ensure compliance.
  • Analyze compensation data to inform strategic recommendations for sales teams.
  • Leverage AI and analytics to streamline compensation program management.
  • Drive AI solutions to enhance decision-making and data quality.
  • Integrate AI technologies into compensation processes for scaling and accuracy.
  • Communicate complex compensation topics clearly to stakeholders.

Benefits

  • Great opportunity to make an impact on company-wide compensation strategies.
  • Autonomous work environment with high visibility across teams.
  • Access to advanced AI and analytics tools to innovate compensation solutions.
  • Engagement in continuous improvement of sales compensation programs.
Full Job Description
Meta is seeking a Sales Compensation Business Partner to join our Total Rewards Organization (TRO). In this highly visible role, you will drive business performance and support our mission to attract, retain, and reward top sales talent. You will operate with a high degree of autonomy and influence, setting the strategic direction for complex, high-impact sales compensation initiatives while serving as a thought partner to cross-functional teams. Your work will focus on driving innovation and leveraging data and insights to develop equitable, data-informed compensation solutions that align with Meta's business objectives. If you have experience using analytics to make a meaningful impact in a dynamic, collaborative environment, we invite you to help shape the future of sales compensation at Meta.

Responsibilities

Lead complex, high-risk, and ambiguous sales compensation projects by collaborating with sales leaders and cross-functional partners to deliver innovative solutions that advance Meta's position as a market leader
• Develop and implement robust success metrics and governance frameworks to measure program effectiveness, ensure compliance, and drive continuous improvement in sales compensation programs
• Analyze complex compensation data, including cost modeling, employee impact analysis, and market intelligence, to inform decision-making and support strategic recommendations for sales teams
• Leverage advanced AI and analytics tools to automate, streamline, and enhance sales compensation program management and effectiveness assessments
• Drive adoption of AI-powered solutions to improve data quality, accelerate decision-making, and deliver actionable insights for sales leadership and cross-functional partners
• Champion the integration of AI technologies into sales compensation processes, identifying opportunities to reduce manual effort, increase accuracy, and scale program impact across global sales teams
• Continuously evaluate emerging AI tools and platforms to ensure Meta's sales compensation programs remain at the forefront of industry best practices
• Communicate complex sales compensation topics with clarity and confidence to leaders and cross-functional partners

Minimum Qualifications
• Bachelor's degree in Economics, Finance, Mathematics, Statistics, Business, or a related discipline
• 8+ years of progressive experience in compensation, data management, or program/project management, with a proven track record of leading large-scale, complex initiatives in a global, matrixed environment
• Proficiency in Excel and experience with data analysis tools (e.g., SQL, Python, Tableau)
• Analytical and problem-solving skills, including experience with model building, statistical analysis, and data visualization
• Experience influencing and partnering with leaders and cross-functional stakeholders
• Effective communication, change management, and stakeholder engagement skills
• Experience with compensation systems (e.g., Workday, Salesforce) and advanced Excel/data manipulation
• Demonstrated experience leveraging AI or advanced analytics tools to drive business outcomes

Preferred Qualifications
• Experience evaluating, implementing, or building AI-supported solutions for HR or compensation processes
• Experience setting strategy and driving adoption of new sales compensation programs at scale
• Experience managing projects with tight deadlines through to completion while balancing evolving priorities and a broad range of stakeholders

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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