Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development.
  • OR equivalent experience.

Preferred Qualifications:

• 3+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.
• 3+ years of experience building products that leverage AI/ML technologies.
• Experience managing and shipping products in an AI lab or an AI-focused startup.
• Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
• Familiarity with experimentation tools, data analytics, and strong in vibe coding / working knowledge of coding (Python, JavaScript, SQL).
• Excellent analytical, communication, presentation and negotiation skills with cross-functional organizations, customers and stakeholders.
• Entrepreneurial mindset, possesses a high energy level to react to situations quickly and decisively, possessing self-confidence to be assertive when taking a position, not afraid to make decisions.
• Passionate & capable of driving cross-functional initiatives – product features, distribution tactics & partnerships. 
• Demonstrated expertise in growing consumer products of large scale globally.  

#MicrosoftAI

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.

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.

Microsoft Advertising serves billions of ad decisions every day across search, native, shopping, display, audience, and AI-powered advertising experiences. Trust & Safety is foundational to this marketplace: protecting users from harmful, deceptive, and low-quality content; protecting advertisers, publishers, and partners from fraud and abuse; and ensuring Microsoft Ads operates with strong policy, privacy, security, compliance, and regulatory integrity.We are seeking a deeply technical Senior Principal Architects to define and drive the next generation of the Ads Trust & Safety AI Platform. This is a engineering leadership role that entails setting technical direction, shaping platform strategy, influencing multiple engineering and science teams, and building durable systems that compound across Trust & Safety, Risk, Fraud, Security, Policy, Measurement, and Enforcement. This role is for a hands-on technical leader who can combine large-scale platform engineering with modern AI systems: agentic investigation workflows, LLM-powered reasoning, retrieval and evidence generation, heterogeneous model serving, risk intelligence, human-in-the-loop review, and high-integrity decisioning.The platform will power how Microsoft Ads understands advertisers, domains, landing pages, websites, business entities, policy risk, fraud signals, and adversarial behavior. It will enable faster and more reliable enforcement decisions, richer evidence for reviewers and investigators, safer automation, and stronger marketplace protection. A key part of this role is collaboration across the broader Trust ecosystem: Microsoft Ads, Microsoft Trust and Safety teams across products, Security,  Identity, and relevant worldwide industry peers and partners. The role requires someone who can evangelize technical direction, learn from adjacent teams and industry practices, align standards, and convert shared learnings into production-grade platform capabilities.

AI Platform Architecture and Technical Strategy

• Define the long-term architecture for the Ads Trust & Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement.
• Translate broad Trust & Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities.
• Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems.
• Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety.
• Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage.

Deep Research Agents and AI-Assisted Investigation

• Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals.
• Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring and human in the loop.
• Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override.
• Partner with Applied Science to convert AI research prototypes into production systems with clear quality, latency, cost, reliability, safety, and governance targets.

Entity Intelligence, Decisioning, and Enforcement

• Architect systems for high-fidelity understanding of domains, websites, landing pages, advertisers, business identities, ownership structures, relationship graphs, reputation, and provenance.
• Design real-time, nearline, and batch scoring systems for policy enforcement, fraud detection, abuse prevention, advertiser risk scoring, and marketplace protection.
• Evolve abstractions for model orchestration, feature lookup, signal stores, retrieval, model versioning, decision logging, policy controls, fallbacks, and experimentation.

Security, Risk, and Fraud Platform

• Architect systems to detect , learn and mitigate adversarial behavior across the advertiser lifecycle, including account creation, login events, payment changes, budget changes, campaign edits, creative changes, landing-page changes, and enforcement history.
• Build sequential and event-based risk systems that reason over advertiser behavior over time rather than treating each decision as an isolated event.

Cross-Microsoft Collaboration, Industry Learning, and Technical Leadership

• Collaborate across wider Microsoft , Safety, Security, Responsible AI, Identity and partner teams to create shared platform capabilities for risk detection, abuse prevention, evidence generation, and enforcement governance.
• Evangelize a coherent Trust & Safety AI platform strategy across Microsoft, helping teams converge on shared architectures, reusable abstractions, common taxonomies, and consistent decisioning patterns.
• Evangelize  & Learn from industry peers, and approved partner networks facing similar scale abuse patterns, and translate those learnings into practical platform improvements.

• Bachelor’s Degree in Computer Science or related technical field AND 15+ years of professional software engineering experience, or equivalent practical experience.8+ years of senior technical leadership experience influencing engineers, technical leads, architects, applied scientists, or cross-functional engineering teams across complex platform or product areas.
• Proven experience architecting and delivering large-scale production systems with meaningful reliability, scalability, latency, correctness, availability, security, and operational requirements.
• Deep technical experience in one or more of the following platform areas: AI/ML systems, agentic systems, model-serving infrastructure, decisioning systems, distributed systems, data platforms, workflow platforms, risk platforms, security platforms, or Trust & Safety systems.
• Experience building or technically leading production AI/ML systems, including exposure to modern AI patterns such as LLM-based workflows, retrieval-augmented generation, model orchestration, automated reasoning, human-in-the-loop systems, AI-assisted operational tooling, or agentic workflows.
• Strong understanding of the engineering requirements for deploying AI or decision systems in production, including evaluation, observability, quality measurement, rollout safety, fallback behavior, latency/cost tradeoffs, drift detection, explainability, governance, and operational reliability.
• Experience designing high-integrity systems where decisions must be auditable, reproducible, explainable, governed, and secure, especially when handling sensitive signals, advertiser impact, policy enforcement, risk decisions, or compliance-sensitive workflows.
• Ability to drive clarity from ambiguity, define technical direction, create reusable platform abstractions, and influence execution across multiple teams without relying on direct management authority.
• Strong written and verbal communication skills, including the ability to explain architecture, tradeoffs, risks, sequencing, and technical strategy to senior engineering, science, product, policy, security, and business leaders.

Preferred Qualification
The candidate is not expected to have deep experience in every area below. Broader coverage across these areas is preferred, especially where the candidate has demonstrated the ability to connect multiple domains into durable platform architecture and production systems.

• Deep domain experience in Trust & Safety, Fraud, Abuse, Risk, Security, Ads Quality, Marketplace Integrity, Policy Enforcement, or advertiser protection systems.Experience with adversarial systems, including phishing, malware, cloaking, account takeover, payment abuse, fake identities, compromised advertisers, coordinated fraud, and policy evasion.
• Experience building Deep Research Agents, investigation agents, reviewer-assist systems, retrieval-augmented generation systems, LLM-powered operational workflows, or AI systems that produce grounded evidence for human or automated decisions.
• Expertise in heterogeneous inference platforms supporting LLMs, SLMs, wide & deep models, ensembles, graph models, classical ML models, heuristics, and rules engines.
• Experience with entity intelligence, knowledge graphs, web crawling, domain reputation, business identity resolution, provenance, evidence extraction, or risk scoring.
• Experience designing human-in-the-loop review systems, appeals workflows, audit platforms, policy reasoning systems, or enforcement governance mechanisms.
• Experience with large-scale measurement systems for false positives, false negatives, model drift, agent quality, policy quality, reviewer quality, enforcement stability, business impact, and operational health.
• Experience collaborating with Trust, Safety, Security, Privacy, Identity, Compliance, Legal, or Responsible AI teams across multiple products or platforms.
• Experience evangelizing technical strategy across multiple teams, learning from industry peers, and helping establish shared standards, taxonomies, schemas, signal-quality measures, or platform patterns.
• Experience working with industry partners, trusted abuse-prevention networks, threat-intelligence providers, domain-reputation providers, identity-verification providers, payment-risk partners, or ecosystem safety initiatives. 

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.

Microsoft AI is a customer-first organization building AI powered products in service of our customer’s business goals. The world is changing rapidly during this AI platform shift and we need Product Managers who can live in the future and bring back clarity to the present to guide our work.

As a Product Manager for Microsoft AI, you will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use the best technology in service of our customer.

We work within Microsoft AI (MAI), an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making.

One of the reasons Microsoft AI consistently brings innovative products to market is because of the collaborative work we do in Product Management. We work closely with talented engineers, designers, marketers, creatives, customers, partners, and go-to-market teams to design and develop products tailored for our customer’s benefit. We run lean, obsess about users, and make decisions based on evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Drive building world-class AI applications that will delight consumers and deliver business results .
• Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, customer-first, product development cycle.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with UX, Data Science, Engineering, AI research, and Product Marketing teams.
• Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
• Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
• Embody our Culture and Values.  

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience leading AI product teams and building AI products.

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience leading product teams building products in advertising, privacy, conversational AI, generative AI, or transferrable skills.
• Experience building consumer products leveraging Machine Learning or Large Language Models.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
• Experience with data analytics and experimentation tools. Working knowledge of SQL and coding skills (Python, Javascript).

#MicrosoftAI 

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.

• Drive building world-class AI experiences and platforms that will allow Microsoft AI to keep consumers safe and deliver sustainable business growth.
• Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, customer-first, product development cycle.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with UX, Data Science, Engineering, AI research, and Product Marketing teams.
• Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
• Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
• Embody our Culture and Values.

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product management or software development.
  • OR equivalent experience.
• Experience leading products built on AI/ML systems from the ground up.
• Background in driving multi-year strategic initiatives in complex, cross-functional environments.
• Demonstrated experience aligning with senior engineering stakeholders in high-stakes, fast-moving product spaces.

Preferred Qualifications:

• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

#MicrosoftAI

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.