Description

Microsoft is hiring a Trust & Safety Product Manager to partner with Policy, Engineering, Data Science, Research, Operations, and Business stakeholders on scalable trust and safety solutions for AI-powered products. The role covers policy frameworks, enforcement mechanisms, quality systems, labeling, evaluation, adjudication, risk management, and AI/ML-powered review and decision-making. It requires a bachelor's degree or equivalent practical experience and at least three years of relevant experience in product, program, trust and safety, policy operations, risk management, fraud prevention, content moderation, marketplace integrity, or related domains.

Required Skills

Trust & Safety
Policy Operations
Risk Management
Fraud Prevention
Content Moderation
AI/ML Systems
Labeling Operations
Evaluation Frameworks
Stakeholder Management
SQL
Power BI
Python

Additional Information

Minimum Education: Bachelor's degree in business, Public Policy, Communications, Operations, Economics, Psychology, Social Sciences, Data Science, Analytics, Computer Science, or a related field, or equivalent practical experience.
Required Previous Experiences: At least 3 years of experience in Product Management, Program Management, Trust & Safety, Policy Operations, Risk Management, Fraud Prevention, Content Moderation, Marketplace Integrity, or related domains.
Experience developing, interpreting, operationalizing, or enforcing policies, guidelines, standards, or business rules in complex operational environments.
Experience working across cross-functional teams including Engineering, Data Science, Operations, Policy, and Business stakeholders.
Experience designing or managing review workflows, quality programs, labeling operations, evaluation frameworks, or operational processes at scale.
Preferred Qualifications: Experience in large-scale Trust & Safety, Marketplace Integrity, Fraud Prevention, Online Safety, Risk Management, or Compliance ecosystems.
Experience designing and scaling human review, labeling, policy enforcement, quality assurance, or evaluation programs.
Experience supporting AI/ML model development through labeling, ground truth, adjudication, evaluation, and feedback loops.
Familiarity with Generative AI, Agentic AI, Large Language Models, and human-in-the-loop systems.
Experience generating actionable insights from large-scale operational, quality, labeling, or enforcement datasets.
Working knowledge of SQL, Power BI, Python, or similar analytics, reporting, and experimentation tools.
Success leading cross-functional initiatives involving Engineering, Data Science, Operations, Policy, and Business stakeholders.
Ability to thrive in fast-paced, ambiguous environments and drive measurable customer and business impact.
Translation Company Name: Microsoft

About Microsoft

Microsoft

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