Product Risk Program Manager - Product Enablement

Meta; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Meta is seeking a Product Risk Program Manager to lead end-to-end risk reviews, guiding product and engineering teams through Meta's Risk Review process. You will collaborate with legal, policy, and tooling teams to deliver a high-quality risk review experience and optimize workflows for efficiency and compliance.

The role requires strong program management, cross-functional collaboration, and the ability to influence without formal authority in a dynamic environment.

Qualifications

• 7+ years of experience in program management, product operations, trust & safety, privacy, compliance or related field.
• Proven track record of managing projects with tight timelines and high ambiguity with multiple stakeholders.
• Experience integrating AI tools to optimize workflows and drive measurable impact.
• Strong analytical and problem-solving skills to improve processes.

Responsibilities

• Manage complex risk reviews from start to finish within Meta's Risk Review process.
• Collaborate with product, engineering, legal, policy, and tooling partners to deliver high-quality risk reviews.
• Identify blockers, escalate issues, and remediate pain points to optimize processes.
• Influence across functions and drive cross-functional alignment and timely decision making.

Skills

Program management

Cross-functional collaboration

Stakeholder management

Influencing without authority

Adaptability

Problem solving

AI integration

AI tooling familiarity

Education

Bachelor's Degree or equivalent

Tools

AI tools

Job description

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 fieldProven 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