Verification Operations Specialist – Integrity Operations

Verification Operations Specialist – Integrity Operations

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.

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.