Product Risk Program Manager - Product Enablement

Meta builds technologies that help people connect, find communities, and grow businesses. The Product Risk Program Manager will manage complex end-to-end product risk reviews, guide product and engineering teams through Meta’s Risk Review process, and enable compliant product launches. The role also partners with legal, policy, engineering, and tooling teams to improve processes and support risk assessments, triage, escalation, audit, and remediation activities.

Responsibilities:

• Support and manage the early product development support process to optimize Meta's Product Groups experience with Risk Review
• Proactively identify and resolve blockers, escalate issues, and remediate pain points
• Drive execution and accountability through clear communication, action tracking, and decision forums
• Establish expertise across an end to end system that's focused on reviewing and mitigating product risks
• Serve as a trusted advisor to product, engineering, and cross-functional teams, enabling them to navigate the Risk Review process efficiently and effectively
• Ensure project details & risk details are well documented, tracked, and resolved with transparency and consistency
• Establish and maintain coordinated relationships with Product, Legal, Policy, and Engineering to align on priorities, ensure process adherence, drive continuous system improvement, and ensure reviews are processed with appropriate depth and speed
• Provide guidance and support for supplemental risk assessments and research compliance reviews
• Partner with Specialized Assessment (SA) and Assurance Assessment (AA) Product Risk Program Managers to ensure the appropriate product context is captured within the Risk Review system and support Product Groups through the triage & escalation and audit & remediation processes

Requirements:

• 7+ years of experience in program management, product operations, trust & safety, privacy, compliance or in a related field
• Proven track record of managing projects with tight timelines and high ambiguity, involving multiple stakeholders
• Communication and cross-functional alignment skills, capable of tailoring clear, concise, and actionable messages across audiences (stakeholders, teams, executives) to navigate complex tradeoffs and ensure shared understanding
• Robust stakeholder management skills and an ability to work effectively in a collaborative, cross-functional environment, building relationships and sharing knowledge to achieve shared objectives
• Demonstrated success in influencing across functions and without formal authority, gaining buy-in, inspiring trust, facilitating collaboration, and driving change
• High adaptability and flexibility to thrive in a dynamic, evolving business environment with shifting priorities
• Experience proactively identifying and resolving blockers, escalating issues, and remediating pain points
• Bachelor's Degree or equivalent experience
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience applying analytical and problem-solving skills to improve processes or resolve complex issues
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience in managing cross-functional projects and teams
• Experience in leveraging AI and data-driven insights to continuously improve the efficiency, accuracy, and scalability of a process
• Experience with product development lifecycles and complex systems