Project Manager, Verification Operations

Meta is seeking a Project Manager to support Verification Operations, a critical function responsible for ensuring the integrity, accuracy, and scalability of identity and content verification systems across Meta's platforms. In this role, you will drive end-to-end program management for verification workflows, partnering with operations, engineering, policy, and trust and safety teams to design and optimize systems that support verification at global scale. You will translate complex operational requirements into structured project plans, identify process gaps, and lead cross-functional initiatives that improve verification quality, throughput, and compliance.

Responsibilities

Lead end-to-end project management for verification operations initiatives, including scoping, milestone planning, dependency tracking, and delivery oversight
Partner with operations, engineering, policy, and trust and safety stakeholders to define requirements and translate them into actionable project plans for verification workflows
Analyze verification process performance data to identify bottlenecks, quality gaps, and opportunities for workflow optimization or automation
Design and document scalable operational processes, standard operating procedures, and decision frameworks for verification programs
Drive cross-functional alignment on verification system changes, ensuring stakeholders are informed of scope, timelines, risks, and trade-offs
Develop and maintain project tracking mechanisms, status reporting cadences, and escalation paths to keep verification initiatives on schedule
Collaborate with data and analytics teams to define success metrics, monitor program health, and report on verification quality and operational outcomes
Support change management efforts when new verification tools, policies, or workflows are introduced, including communications planning and readiness assessments
Identify systemic risks in verification operations and work with cross-functional partners to develop mitigation strategies and contingency plans
Contribute to the development of reusable frameworks, playbooks, and best practices that improve project delivery consistency across verification programs

Qualifications

Bachelor's degree in a directly related field, or equivalent practical experience
6+ years of experience in program or project management within operations, trust and safety, compliance, or a related domain
6+ years of experience managing cross-functional projects involving operations, engineering, and policy stakeholders
Experience designing or optimizing operational workflows, including process mapping, gap analysis, and implementation of process improvements
Experience defining and tracking operational metrics to measure program performance and drive data-informed decisions
Experience communicating project status, risks, and trade-offs in writing to both technical and non-technical stakeholders Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience working in verification, identity integrity, content review, or trust and safety operations environments
Experience supporting scaled operations programs that involve vendor or contract workforce management
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience applying structured change management methodologies when rolling out new operational processes or tooling
Familiarity with systems architecture concepts relevant to verification pipelines, such as API integrations, workflow automation, or case management platforms
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)