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 experiencesDemonstrated 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 Experience developing and championing AI-native strategies across organizations Experience using data analysis and structured problem-solving to inform product strategy and prioritization decisions 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 Experience across information security, cyber risk or data protection - gained in a technical, advisory or governance capacity Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 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) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses. As we build PM and cross-functional capacity across a large organisation of security-focused engineers and partners spanning numerous products and platforms, we're focused on sustaining our strong collaboration and teamwork while developing long-term strategy and efficient, iterative execution for the security of our products, infrastructure, company information, and user data.