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Salary
≈ $220k – $384k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 18, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
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.

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

Qualifications

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

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