Product Manager - Risk
Meta, City of Westminster
Product Manager - Risk
Salary not available. View on company website.
Meta, City of Westminster
- Full time
- Permanent
- Onsite working
Posted 1 day ago, 13 Nov | Get your application in today.
Closing date: Closing date not specified
Job ref: 6ca0cc9538644b568f4558a202cde40d
Location ref: City of Westminster
Full Job Description
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., 1. Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product strategies and roadmaps in the context of broader organizational strategies and goals
2. Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Proactively identify and act on opportunities, managing workstreams independently and escalating risks as needed
3. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
4. Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
5. Drive product development with teams of engineers and designers, while maintaining team health
6. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and aligned with our mission and deliver value to users
7. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
8. Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis and AB testing
9. Identify and implement process improvements to increase team efficiency as priorities and requirements evolve
10. 10+ years experience in Product Management
11. 10+ years of experience working collaboratively with engineering, design and user research teams
12. Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution
13. Experience using data analysis and structured problem-solving to inform product decisions and align stakeholders
14. Experience presenting to executive audiences
15. BA or BS in Computer Science or related field, or equivalent practical experience, 16. Experience in Risk, Trust, Compliance, or similar fields
17. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
18. Experience in a consumer focused technology company
19. Experience building 0-1 products, platform/ecosystem products, or marketplaces
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
21. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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