Verification Operations Specialist - Integrity Operations
Meta
Job Overview
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Job Description
Verification Operations Specialist - Integrity Operations
As a Verification Operations Specialist, you will own, develop, and execute integrity support strategies for Meta products. You’ll collaborate cross-functionally with Product, Engineering, Operations, and Policy teams, leveraging advanced analytics and AI-driven solutions to improve verification processes and operational health. This role is highly strategic, requiring problem-solving skills, technical acumen, and the drive to lead large-scale, transformative programs in a fast-paced, ambiguous environment.
Responsibilities
- Develop and manage integrity strategies for Meta products, partnering with Product, Engineering, Operations, and Policy teams
- Analyze complex support flows and recommend process, policy, and product improvements for scalable solutions
- Conduct root cause analysis and investigations, delivering actionable insights to cross-functional partners
- Track and analyze key operational metrics, ensuring metric and service goals are met
- Use strategic thinking and problem-solving skills to resolve large, complex business problems
- Support end-to-end management of large-scale, transformative programs and projects
- Leverage AI/ML tools and automation to enhance verification processes and operational efficiency
- Stay current on emerging AI technologies and apply them to improve support and integrity operations
Minimum Qualifications
- 5+ years of experience in Operations, Analytics, Product, Engineering, Consulting, Project Management, or equivalent
- Proven track record of initiating and driving projects to completion
- Experience leading process improvement projects in dynamic, cross-functional environments
- Demonstrated expertise in investigations and root cause analysis
- Experience working in, communicating with, and leading global cross-functional projects
Preferred Qualifications
- 4+ years of experience analyzing large datasets (SQL, Google Sheets, or similar tools)
- Experience working in a technology company or consulting firm
- Familiarity with AI/ML systems, automation, and GenAI annotation platforms
- Experience with signal-based verification, machine learning models, and operational measurement strategies
- Knowledge of responsible AI practices and regulatory compliance in digital platforms
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.
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.
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.
Key skills/competency
- Integrity Operations
- Advanced Analytics
- AI/ML Solutions
- Process Improvement
- Root Cause Analysis
- Project Management
- Cross-functional Collaboration
- Strategic Thinking
- Data Analysis (SQL)
- Operational Efficiency
How to Get Hired at Meta
- Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your experience to highlight operations, analytics, and project management skills using keywords from the Verification Operations Specialist job description.
- Showcase problem-solving: Prepare examples of how you've used strategic thinking and root cause analysis to resolve complex business problems.
- Understand AI/ML applications: Familiarize yourself with how Meta leverages AI/ML for integrity and verification, and be ready to discuss relevant experience.
- Emphasize cross-functional collaboration: Highlight instances where you successfully led or contributed to global, cross-functional projects.
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