Product Risk Program Manager - Product Enablement

The Product Enablement (PE) team sits within Meta's Product Risk & Compliance organization and partners with Product Groups (PGs) at the earliest stages of development to steward end-to-end risk reviews. As a Product Risk Program Manager (PRPM), you will apply program management expertise and systems thinking to manage complex risk reviews from start to finish, enabling compliant product launches. You'll work hands-on with product and engineering teams to guide them through Meta's Risk Review process, while collaborating closely with legal, policy, engineering, and tooling partners to deliver a high-quality risk review experience, optimize processes, and build trust with internal and external stakeholders.

• 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 life cycles and complex systems