Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Compensation
Data Analysis
Excel
SQL
Python
Tableau
Project Management
Statistical Analysis
AI
Meta is seeking a Compensation Lead to join our Total Rewards Organization (TRO). In this role, you will drive business performance and support our mission to attract, retain, and reward top talent. In this role, you will operate with a high degree of autonomy and influence, setting the strategic direction for complex, high-impact compensation initiatives while serving as a thought partner to cross-functional teams. You will be responsible for driving innovation and leveraging data and insights to develop equitable, and data informed compensation solutions that align with Meta's business objectives. If you have experience in using analytics to make a meaningful impact in an ever evolving and collaborative environment, we invite you to join us in shaping the future of compensation at Meta.
Compensation Lead, Strategic Initiatives Responsibilities:
- Drive complex, high-risk, and ambiguous compensation projects by collaborating with leaders, 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
- Lead the analysis of complex compensation data, including cost modeling, employee impact analysis, and market intelligence, to inform decision-making and support strategic recommendations
- Leverage advanced AI and analytics tools to automate, streamline, and enhance compensation program management and program effectiveness assessments
- Drive adoption of AI-powered solutions to improve data quality, accelerate decision-making, and deliver actionable insights for leadership and cross-functional partners
- Champion the integration of AI technologies into compensation processes, identifying opportunities to reduce manual effort, increase accuracy, and scale program impact across global teams
- Continuously evaluate emerging AI tools and platforms to ensure Meta's compensation programs remain at the forefront of industry
- Communicate complex 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)
- Advanced 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 setting strategy and driving adoption of new compensation programs at scale
- Experience managing projects with tight deadlines through to completion while balancing evolving priorities and a broad range of stakeholders
- Experience evaluating, implementing, or building AI supported solutions for HR or compensation processes
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 Whats App 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.
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 accommodations-ext@meta.com.
$152,000/year to $220,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Technical Program Manager
915 reports
$326,766
total / year
Base
$188,428
Stock
$105,343
Bonus
$32,995
$220,456
$506,368
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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