Overview
Microsoft 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 rapidly turning ideas into prototypes and scalable solutions, and is passionate about leveraging data, automation, AI, and operational excellence to improve Trust & Safety outcomes at global scale.
Responsibilities
Responsibilities:
- Partner with Engineering, Data Science, Operations, Policy, and Risk teams to identify opportunities where AI, automation, and agentic systems can improve Trust & Safety outcomes.
- Design, build, and scale agentic workflows, Copilot experiences, automation solutions, and intelligent operational tools that increase team effectiveness and reduce manual effort.
- Identify repetitive, high-friction operational processes and transform them into automation-first solutions using AI-powered capabilities.
- Drive the end-to-end lifecycle of AI-enabled solutions, from problem definition and experimentation through deployment, adoption, and continuous improvement.
- Develop and maintain a deep understanding of emerging AI technologies, agent frameworks, Large Language Models (LLMs), and workflow orchestration patterns, identifying opportunities to apply them to Trust & Safety challenges.
- Partner with operational teams to design human-in-the-loop systems that balance automation efficiency with quality, safety, and accountability.
- 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 success metrics and evaluation frameworks to measure the effectiveness, reliability, quality, and business impact of AI-driven solutions.
- Generate insights from operational data, workflow telemetry, experimentation results, and user feedback to continuously improve agent performance and automation outcomes.
- Build prototypes, proofs-of-concept, and lightweight solutions to rapidly validate ideas and accelerate learning.
- Drive cross-functional initiatives from problem identification through execution, balancing customer needs, operational requirements, technical feasibility, and business objectives.
- Communicate technical concepts, recommendations, and outcomes to both technical and non-technical stakeholders.
- Embody Microsoft's Culture and Values.
Qualifications
Required Qualifications:
- Bachelor's Degree in Business, Operations, Economics, Analytics, Data Science, Computer Science, Information Systems, Engineering, a related field, or equivalent practical experience.
- 3+ years of experience in Product Management, Program Management, AI Solutions, Automation, Trust & Safety, Operations, Analytics, Risk Management, Fraud Prevention, Marketplace Integrity, or related domains.
- Experience identifying business or operational challenges and driving improvements through automation, process optimization, analytics, or technology-enabled solutions.
- Strong analytical and problem-solving skills, with experience leveraging data to prioritize opportunities, measure outcomes, and drive decision making.
- Experience working across cross-functional teams, including Engineering, Data Science, Operations, Product, and Business stakeholders.
- Demonstrated ability to translate ambiguous problems into scalable solutions that deliver measurable customer or business impact.
- Familiarity with Generative AI, Large Language Models (LLMs), AI-assisted workflows, agentic systems, workflow orchestration concepts, or related technologies.
- Experience evaluating solutions through experimentation, metrics, user feedback, or operational performance indicators.
- Strong communication, stakeholder management, and influencing skills, with the ability to drive alignment across diverse teams.
Preferred Qualifications:
- Experience building, deploying, or scaling AI-powered workflows, intelligent assistants, automation platforms, agents, or workflow orchestration systems.
- Experience applying Generative AI, Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), workflow automation, or agentic frameworks to real-world business problems.
- Working knowledge of Python, SQL, Power BI, Power Platform, Azure AI services, or similar analytics and automation technologies.
- Experience prototyping solutions, building proofs of concept, or rapidly validating ideas through experimentation and iterative development.
- Experience designing evaluation methodologies, feedback loops, telemetry frameworks, or quality measurement systems for AI-powered products and workflows.
- Experience partnering with Engineering and Data Science teams to improve AI systems through experimentation, user feedback, analytics, and continuous improvement.
- Experience working in Trust & Safety, Marketplace Integrity, Fraud Prevention, Risk Management, Compliance, Operations, or related domains.
- Demonstrated builder mindset with a track record of transforming manual workflows into scalable, automation-first solutions.
- Proven ability to thrive in fast-paced, ambiguous environments while driving measurable customer and business impact through innovation and continuous learning.
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.**