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Meta

Product Risk Program Manager

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What they do

A Director of Risk Management directs and oversees risk management activity for a company or organization. Evaluates risk, develops strategies to mitigate or offset risks that could result in financial losses, and directs implementation of risk management strategies. May direct risk management in investments, business operations and finance, or insurance..

$118,878 / year median in Texas

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Job Description

As a Specialized Assessment Product Risk Program Manager (SA PRPM), you will be a critical driver in Meta's risk management and product integrity efforts. You'll sit at the intersection of product, legal, and regulations — triaging and supporting risk review for new products and features that challenge company policy, introduce novel or untested risk, or require specialized scrutiny. Your work will shape how Meta assesses high-risk product decisions, often in fast-moving or ambiguous contexts. You'll help guide cross-functional partners through escalation workflows, support aligned decision-making, and ensure that the right voices are in the room to evaluate complex tradeoffs. You'll operate with a high degree of autonomy—proactively identifying important problems, exercising independent judgment, and contributing to the strategy and roadmap for cross-functional risk review. The ideal person will have exceptional judgment, strategic foresight, and the ability to operate across multiple risk domains. This is a senior individual-contributor role. Success means managing and delivering large-scale programs, aligning solutions across multiple teams, and gaining recognition as a subject-matter expert whose advice is sought out across the product and risk community.
Qualifications:
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