Product Manager, Scam Ads

Meta; Greater London; In loco; GBP 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Meta seeks experienced Product Managers to own the strategy for removing bad actors in scam ads on its advertising platform. You’ll lead cross-functional teams to set roadmaps, translate AI capabilities into product visions, and drive measurable impact across the organization.

You will influence across engineering, design, legal, and research teams, champion responsible AI, and report progress to senior leadership. Competitive compensation applies based on location and experience.

Competenze

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
• 10+ years of experience working collaboratively with engineering, design and user research teams.
• 10+ years product management and/or Product Design.
• 5+ years of experience working within the Fraud & Scam domain as a Product Manager.
• Experience building fraud prevention, detection or monitoring systems, ideally in the ads ecosystem.
• Experience developing and championing AI-native strategies across organizations.
• Critical thinking and analytical leadership experience.
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution.
• Experience presenting to executive audiences.
• BA/BS in Computer Science or related field.

Mansioni

• Identify significant near and long-term opportunities and drive product mission, strategies, and roadmaps.
• Generate buy-in and drive consensus across organizations.
• Bring clarity and structure to ambiguous opportunities.
• Critically evaluate when AI is the optimal solution at portfolio level.
• Translate AI capabilities into differentiated product visions.
• Champion AI-native strategies and data strategies for continuous improvement.
• Drive product development with engineers and designers while maintaining team health.
• Plan, coordinate resources, and guide milestones across groups.
• Reimagine workflows using AI tools to transform velocity at scale.
• Define metrics and drive decision-making with user insights and AB testing.

Conoscenze

AI-enabled tools

Cross-functional

Product management

Fraud & scam domain

Executive communication

Full lifecycle product

Analytical leadership

Formazione

BA/BS in CS or related field

Descrizione del lavoro

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company, value moving quickly, and lead AI transformation at scale. This job description represents different full-time roles across Meta.This role will own our company’s approach to finding and removing bad actors running scam ads on Meta’s advertising platform. Scams are one of the most important problems we face as a company, with incredibly sophisticated adversaries. Finding and removing these bad actors whilst protecting benign businesses requires a deep understanding of how scams manifest on our platform and how we can make it financially unviable for them to continue. Success will require a deep understanding of integrity, the ability to influence teams across multiple orgs, define the most effective strategy to fight online scams, and being able to quickly jump between being deep in the detail to articulating the overall progress we’re making on ad scams to senior leadership.

Product Manager, Scam Ads Responsibilities:

• Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals.
• Generate buy-in and drive consensus across organizations.
• Bring clarity and structure to ambiguous opportunities.
• Consistently demonstrate initiative and execute with limited oversight.
• Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis.
• Translate AI capabilities into compelling, differentiated product visions that define market categories.
• Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement.
• Drive product development with teams of engineers and designers, while maintaining team health.
• Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones.
• Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale.
• Foster a culture of rapid experimentation and learning that becomes a competitive advantage.
• Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially.
• Plan, initiate, and manage information technology projects for web-based products, applications, and platforms.
• Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale.
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
• Use AI-enabled tools to build products—setting the standard for PM technical capability.
• Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier.
• Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes
• lead strategic technical decisions with engineering leadership.
• Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.
• Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.).
• Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
• 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.
• Design sophisticated experiments and interpret results (leveraging AI) to drive strategic product decisions.
• Define and run evaluations (evals) to interpret model outputs at scale—establishing evaluation as a strategic capability for AI-powered experiences.

Minimum Qualifications:

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
• 10+ years of experience working collaboratively with engineering, design and user research teams
• 10+ years product management and/or Product Design
• 5 + years of experience working within the Fraud & Scam domain as a Product Manager
• Experience building fraud prevention, detection or monitoring systems, ideally in the ads ecosystem
• Experience developing and championing AI-native strategies across organizations
• Critical thinking and analytical leadership experience
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution
• Experience presenting to executive audiences
• BA/BS in Computer Science or related field

Preferred Qualifications:

• Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces
• Experience in a consumer-focused technology company
• Track record of scaling AI best practices across organizations
• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.