OverviewMicrosoft AI is a customer-first organization focused on building AI-powered products that help customers and businesses achieve more in an evolving technology landscape. As AI reshapes how people discover information, engage with services, and conduct business, we need product leaders who can navigate ambiguity, bring clarity to complex challenges, and drive meaningful customer and business impact.
As a member of the Microsoft AI Monetization Platform Trust & Safety team, you will play a critical role in ensuring that our products and platforms remain safe, trustworthy, and effective. You will work on some of the most important challenges facing modern digital ecosystems, including trust and safety, fraud and abuse prevention, risk management, operational excellence, quality systems, automation, and AI-driven decision making. In this role, you will partner closely with Engineering, Data Science, Research, Operations, Policy, Risk, and Business stakeholders to define and deliver scalable solutions that protect users, customers, advertisers, and the broader ecosystem while enabling sustainable business growth. You will help shape how Trust & Safety systems operate, how risk is measured and managed, and how emerging technologies such as AI and agentic systems can be leveraged to improve outcomes at scale.
- Has experience in Trust & Safety, Integrity, Fraud Prevention, Abuse Prevention, Risk Management, Policy, Security, Compliance, Operations, Analytics, or related domains.
- Demonstrates strong ownership and a bias for action, consistently driving measurable impact through data-driven decision making.
- Operates effectively across complex cross-functional environments, balancing customer, business, operational, policy, and technical considerations.
- Excels at translating ambiguous problems into scalable solutions and influencing outcomes across diverse stakeholder groups.
- Possesses strong analytical capabilities and uses data to identify opportunities, risks, operational improvements, and investment priorities.
- Is energized by fast-moving environments and enjoys solving complex ecosystem-wide challenges at scale.
You will work within the Microsoft AI (MAI) organization, powering AI-first experiences across products including Copilot, Bing, Edge, MSN, and future AI-driven services. MAI brings together Product, Engineering, Research, Design, and Go-To-Market teams to deliver innovative solutions at global scale. As part of a highly collaborative, cross-functional team, you will partner with engineers, designers, researchers, operators, analysts, marketers, and business leaders to build impactful customer experiences. We operate with a strong sense of ownership, customer obsession, and data-driven decision making in a rapidly evolving AI landscape.
As AI transforms the digital ecosystem, this role offers a unique opportunity to help define how trust, safety, quality, and operational excellence evolve in an increasingly agentic world.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our employees embrace a growth mindset, innovate to empower others, collaborate to realize shared goals, and contribute to a culture grounded in respect, integrity, accountability, and inclusion. This role is ideal for a builder who thrives in ambiguity, enjoys solving complex problems, and is passionate about leveraging data, automation, AI, and operational excellence to improve Trust & Safety outcomes at global scale.
Responsibilities
- Partner with Policy, Engineering, Data Science, and Operations teams to develop scalable policy solutions that improve ecosystem safety, trust, and quality.
- Define and evolve policy frameworks, reviewer guidelines, decision criteria, and operational playbooks to drive consistency and enforcement quality.
- Translate policy requirements into operational processes, product requirements, evaluation frameworks, and scalable enforcement mechanisms.
- Drive policy-to-model enablement by partnering with engineering and data science teams to improve AI- and ML-powered review, detection, and enforcement systems.
- Generate insights from labeling, evaluation, audit, and operational data to identify quality gaps, emerging risks, policy ambiguities, and opportunities for improvement.
- Perform hands-on labelling, content review, evaluation, and adjudication activities as needed to establish ground truth, validate evaluation methodologies, calibrate quality standards, and improve model performance.
- Define quality metrics, evaluation methodologies, and feedback loops to continuously improve human review and automated decision-making systems.
- Partner with vendor and review operations teams to improve annotation quality, reviewer effectiveness, operational efficiency, and policy comprehension.
- Drive cross-functional initiatives from problem definition through execution, balancing customer experience, operational needs, policy intent, and business objectives.
- Communicate insights, recommendations, and policy decisions effectively to technical and non-technical stakeholders.
- Embody Microsoft's Culture and Values.
Qualifications- 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.
- 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.
- Strong analytical and problem-solving skills, with experience leveraging data to drive decisions, identify opportunities, and improve quality and operational outcomes.
- 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.
- Strong communication, stakeholder management, and influencing skills, with the ability to drive alignment across diverse teams.
- Familiarity with AI/ML-powered systems and the role of human review, labeling, evaluations, and feedback loops in improving model quality and safety outcomes.
Preferred Qualifications:
- Experience working in large-scale Trust & Safety, Marketplace Integrity, Fraud Prevention, Online Safety, Risk Management, Compliance, or similar ecosystems.
- Experience designing and scaling human review, labeling, policy enforcement, quality assurance, or evaluation programs that support operational and product outcomes.
- Experience supporting AI/ML model development through labeling strategies, ground-truth creation, adjudication frameworks, evaluation design, and feedback loops.
- Familiarity with Generative AI, Agentic AI, Large Language Models (LLMs), and human-in-the-loop systems used to improve safety, quality, and operational effectiveness.
- Experience generating actionable insights from large-scale operational, quality, labeling, or enforcement datasets and translating findings into policy, process, tooling, or product improvements.
- Working knowledge of SQL, Power BI, Python, or similar analytics, reporting, and experimentation tools.
- Demonstrated success leading cross-functional initiatives involving Engineering, Data Science, Operations, Policy, and Business stakeholders.
- Proven ability to thrive in fast-paced, ambiguous environments while driving measurable customer and business impact through ownership, customer focus, and data-driven decision making.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.