Product Risk Program Manager

Meta builds technologies that help people connect, find communities, and grow businesses. Meta is seeking a senior Product Risk Program Manager to manage specialized assessment and escalation processes for novel, ambiguous, and policy-challenging product risks. The role coordinates cross-functional stakeholders, supports risk-based decision-making, improves governance workflows, and helps ensure legal and regulatory compliance.

Responsibilities:

• Support and manage the triage and escalation process for product risks that are novel, ambiguous, or policy-challenging
• Coordinate across Legal, Policy, Data Strategy, Engineering, and Product to ensure high-risk reviews are surfaced and addressed with the appropriate depth and speed; network with and appropriately involve key stakeholders, persuading diverse audiences to drive progress
• Translate complex technical and product concepts into structured assessments and recommendations
• Facilitate decision-making through risk-based frameworks that support both product velocity and compliance; seek clarity on goals and priorities so work can move forward quickly, and escalate as needed
• Ensure escalations are documented, tracked, and resolved with transparency and consistency, maintaining appropriate documentation and timely follow-through
• Identify gaps or breakdowns in current escalation/review processes and drive improvements in workflows, guidance, or tooling; actively experiment and seek opportunities to simplify work through AI-integrated workflows
• Help Meta meet its legal and regulatory obligations and make decisions that reflect our mission, values, and principles, informed by risk reviews and compliance guidance

Requirements:

• 8+ years of experience in program management, product operations, trust & safety, privacy, compliance or in a related field
• Demonstrated ability to manage and deliver high-pressure, high-ambiguity projects involving dependencies across multiple stakeholders, teams, or functions
• Experience assessing and triaging novel or ambiguous product risks, particularly where no established policy, process, or precedent exists
• Strong communication and cross-functional alignment skills — especially in navigating sensitive tradeoffs
• Familiarity with data flows, technical systems, and/or understanding of product risks and their applicable mitigations
• Track record of influencing decisions and driving progress without formal authority
• Experience building, improving, or operationalizing risk review, escalation, assessment, or governance processes
• Strong judgment in situations involving competing priorities, incomplete information, and significant business, regulatory, safety, privacy, or reputational risk
• Experience using AI/automation to improve complex workflows, analysis, decision-making, or operational processes
• Strong analytical and problem-solving skills, with comfort embracing ambiguity and improving systems
• Experience working on privacy, content, legal, or compliance-related product issues
• Experience with consumer-facing technology, platforms, AI/ML products, infrastructure, or other technically complex products
• Experience with product launches, 0→1 products, emerging technologies, or novel product capabilities
• Experience working with AI agents, automation, or other emerging technologies to improve risk assessment and operational efficiency
• Understanding of regulatory, reputational, or policy risks related to consumer-facing technology
• Experience developing and driving strategy or roadmap for cross-functional projects and/or teams
• Background in triaging or adjudicating product-level risks, ideally in a platform or infrastructure context
• Comfort presenting risk perspectives to senior stakeholders and leading through ambiguity
• 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