Senior Product Manager at Microsoft | AdTechTalent
ProductRecentlyOn-site
Microsoft
Senior Product Manager
product managementtrust and safetyrisk managementfraud preventionanalyticsAImachine learningsqlpower bipythongenerative AIlarge language modelsanomaly detectionbusiness intelligencedata science
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Bengaluru, India
Full job description
Microsoft AI is seeking a Senior Product Manager for the AI Monetization Platform Trust & Safety team to lead Ads Trust & Safety strategy. The role involves developing risk quantification, KPI design, health metrics, and reporting frameworks to inform product and business decisions. Responsibilities include building insights frameworks, proactive risk monitoring, anomaly detection, and leveraging AI/ML for decision-making. The candidate will translate ambiguous problems into scalable solutions, collaborate cross-functionally, and own initiatives end-to-end. Requirements include 8+ years in Product Management or related fields, experience in Trust & Safety or Risk Management domains, strong analytical skills, proficiency with SQL, Power BI, Python, and knowledge of AI/ML technologies. Preferred qualifications include experience with Marketplace Integrity, Generative AI, anomaly detection systems, and business intelligence transformations. The position is based in Bengaluru, India.
What you'll do
Define and drive the Ads Trust & Safety strategy including risk quantification, prevalence estimation, KPI design, health metrics, and executive reporting frameworks
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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
8+ years of Product Management, Data Science, Analytics, or related experience
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
Strong 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
Preferred: Experience with Marketplace Integrity, Content Moderation, Fraud Prevention, or Risk Management products
Preferred: Familiarity with Agentic AI, Generative AI, and Large Language Models (LLMs)
Preferred: Working knowledge of Python, experimentation methodologies, and advanced analytics techniques
Preferred: Experience designing anomaly detection, monitoring, and early-warning systems
Preferred: Ability to interpret large datasets and translate findings into strategic product investments
Preferred: Experience driving business intelligence, reporting, or data platform transformations
Preferred: Builder mindset with a track record of delivering impact in fast-paced environments
Tech stack
SQLPower BIPythonAIMachine LearningGenerative AILarge Language ModelsAdvanced Analytics
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