Sr Product Manager

What you'll do

• Define and drive the Ads Trust & Safety measurement strategy including risk quantification, prevalence estimation, KPI design, health metrics, and executive reporting frameworks
• 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
• Drive the development of world-class capabilities that help Microsoft AI keep consumers safe while enabling sustainable business growth
• 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
• Embody Microsoft's Culture and Values

Requirements

• 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 (preferred)
• Experience in Trust & Safety, Risk Management, Fraud Detection, Abuse Prevention, Integrity Systems, Security, or similar domains
• Strong 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
• 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

Tech stack