Sr Product Manager

## About the role * Define and drive the Ads Trust & Safety measurement strategy, including risk quantification, prevalence estimation, KPI design, health metrics, and executive reporting frameworks that inform product, engineering, and business decisions. * Develop insights frameworks that surface trends, risks, opportunities, and business impacts for product and engineering stakeholders. * Drive development of proactive risk monitoring, early warning systems, and anomaly detection capabilities. * Leverage AI, machine learning, and advanced analytics techniques to improve Trust & Safety decision-making. * Translate ambiguous business problems into scalable product solutions with measurable outcomes. * Partner closely with Engineering, Applied Science, Analytics, Operations, and Product teams to prioritize and execute initiatives. * Own initiatives end-to-end, from problem identification and strategy through execution, launch, adoption, and iteration. * Enable data democratization across Ads Trust & Safety by improving accessibility, usability, and consistency of critical business metrics. * Find paths around roadblocks, operate with a builder mindset, and deliver impact in a fast-paced product development environment. * Collaborate across UX, Data Science, Engineering, AI Research, and Product Marketing teams to define goals, requirements, experiments, and success metrics. ## Requirements * Has expertise in Trust & Safety, Integrity, Fraud Prevention, Abuse Prevention, Risk Management, or related domains. * Demonstrates strong product leadership and a bias for action, driving measurable impact through data-driven decision making. * Operates effectively across complex cross-functional environments, balancing business, policy, operational, and technical considerations. * Excels at translating ambiguous problems into scalable solutions and influencing outcomes across organizations. * Possesses strong analytical capabilities and uses data to identify opportunities, risks, and product investments. * Bachelor's Degree AND 5+ years experience in product/service/program management or software development. OR equivalent experience. * 8+ years of Product Management, Data Science, Analytics, or related experience. * Experience working in Trust & Safety, Risk Management, Fraud Detection, Abuse Prevention, Integrity Systems, Security, or similar domains. * Solid analytical skills with experience using data to influence product strategy and business decisions. * Experience building dashboards, reporting frameworks, data products, or large-scale measurement systems. * Demonstrated hands-on experience with SQL, Power BI, and modern analytics tooling. * Experience translating large, ambiguous datasets into actionable insights and product investments. * Solid understanding of AI/ML-powered systems and emerging AI technologies. * Proven ability to lead complex cross-organizational initiatives. * Excellent communication, influence, and stakeholder management skills. * Experience with Trust & Safety, Marketplace Integrity, Content Moderation, Fraud Prevention, or Risk Management products. * Familiarity with Agentic AI, Generative AI, and Large Language Models (LLMs). * Working knowledge of Python, experimentation methodologies, and advanced analytics techniques. * Experience designing anomaly detection, monitoring, and early-warning systems. * Ability to interpret large datasets and translate findings into strategic product investments. * Experience driving business intelligence, reporting, or data platform transformations. * Builder mindset with a track record of delivering impact in fast-paced environments.