Meta
Product Manager (Leadership) - Risk
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Meta is on a mission to give people the power to build community and bring the world closer together. To deliver on that mission responsibly, we need to earn and maintain the trust of everyone who uses our products — and that starts with how we handle their data. The product risk org at Meta shapes how regulations will govern an entire industry for decades to come. We're building the frameworks, tooling, and culture that embed responsible data practices into every product decision across the company. You'll operate at the intersection of product strategy, regulatory complexity, and engineering at scale. You'll own ambiguous, high-impact problem spaces — driving clarity where there is none, influencing cross-functional partners across the organisation, and setting the standard for how Meta meets its obligations with increasing efficiency and craft. This is a role for someone who thrives on navigating complexity, brings strong product judgment to novel regulatory landscapes, and can translate external requirements into scalable product solutions.
Responsibilities
- Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context.
- Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment.
- Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and improving the effectiveness of the team.
- Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.
- Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
- Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
- Communicate product strategy and progress with clear and concise communication to all stakeholders.
- Support the growth of other PMs and cross-functional team members by providing mentorship and coaching.
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Minimum Qualifications
- 12+ years of experience in Product Management
- 12+ years of experience working collaboratively with engineering, design and user research teams
- Experience leading cross-functional product team(s) across a full product line: crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals.
- Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences).
- 5+ years experience hiring, managing, and developing both individual contributors and senior leaders identifying and hiring the right talent to build a cross-functional team.
- Demonstrated experience in communication, bringing extreme clarity to complex messages.
- Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data.
- Demonstrated experience in communication, bringing clear and concise communication of complex messages to technical and non-technical stakeholders.
- Experience presenting to senior executive audiences.
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Preferred Qualifications
- Experience in Risk, Trust, Compliance, or similar fields.
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- 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).
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