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. 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.
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.