Microsoft AI seeks a Senior Product Manager for the AI Monetization Platform Trust & Safety team. The role focuses on Ads Trust & Safety through measurement frameworks, risk visibility, business intelligence, anomaly detection, and data-driven decision making. Responsibilities include defining measurement strategies, developing insights frameworks, driving risk monitoring and anomaly detection, leveraging AI/ML for decision-making, translating ambiguous problems into scalable solutions, collaborating with cross-functional teams, and owning initiatives end-to-end. Required qualifications include a Bachelor's degree with 5+ years in product/service/program management or software development or equivalent experience. Preferred qualifications include 8+ years in Product Management, Data Science, or Analytics, experience in Trust & Safety or related domains, strong analytical skills, experience with SQL, Power BI, Python, AI/ML systems, and anomaly detection. The position is full-time, on-site in Bengaluru, Karnataka, India.
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
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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
SQLPower BIPythonAIMachine LearningAdvanced AnalyticsGenerative AILarge Language Models (LLMs)
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
