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As a Verification Operations Specialist based , 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 drive large-scale, transformative programs in a fast-paced, ambiguous environment.
Job Responsibility:
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
Requirements:
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
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
Nice to have:
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