Product Manager for Agentic AI team, focusing on next-generation agentic AI products that reason, plan, and act across applications, the web, and the OS. The role involves translating AI research into scalable products for Copilot, Bing, Edge, M365, and Azure, with a focus on shipping 0-to-1 agentic products.

Principal Product Manager to define and drive the strategy for Vertical Knowledge Agents that combine structured data, licensed content, and AI grounding to deliver insights across Copilot, MSN, and Bing. The role involves influencing agent architecture, ranking frameworks, and multimodal UX, partnering with AI research and engineering to ship agentic experiences, and championing Responsible AI.

Product Manager for an Agentic Platform within Microsoft's Engineering Systems (ES365) team. This role focuses on building and scaling the agentic platform, including orchestration, developer tools, and governance, for use by thousands of Microsoft developers. The PM will define product vision, strategy, and metrics, work closely with engineering, and leverage AI tools in their daily work to improve developer efficiency and enable AI-assisted workflows across large codebases.

This Principal Product Manager role within Microsoft AI focuses on defining the vision, strategy, and execution for AI training pipelines. The role involves leading cross-functional teams to build scalable and high-quality training data collection and processing systems, defining success metrics, and ensuring compliance. It requires deep collaboration with engineering, research, and data science to operationalize new evaluation techniques and metrics for LLM and ML-based products, with a strong emphasis on data processing, infrastructure, and evaluation systems.

The Senior AI Product Manager will drive Copilot model capabilities such as tool-use to ensure that the language models that power Microsoft Copilot deliver high quality responses to our users whilst being grounded, reliable, and cost-efficient. This role works at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. Responsibilities include developing LLM platform strategy, prototyping approaches, identifying and prioritizing issues impacting quality/factuality/safety, defining and building evaluations, defining and deploying experiments for tool use, and partnering with teams to scale tool building and resolve dependencies.

Product Manager for Microsoft's Agentic Engineering platform, focusing on building and scaling AI-powered developer tools and experiences for thousands of Microsoft engineers. The role involves defining product vision, strategy, and roadmap for the core orchestration layer, developer tools, plugin marketplace, and enterprise governance, with a strong emphasis on hands-on use of AI tools and driving adoption.

Principal Product Manager for Microsoft Edge, focusing on defining and executing an AI-native product strategy to enhance user experience and collapse the distance between user intent and accomplishment. The role involves inventing new AI-driven features, translating frontier AI capabilities into customer-facing products, and driving product strategy from research to shipped product.

Seeking a Design leader to own the end-to-end design quality of AI model personality, tone, and user-facing experiences. This player-coach role involves hands-on IC work (80%) and coaching a small team (20%) of model and UX designers. Responsibilities include defining the creative vision, shaping model personality, driving UX for product surfaces, and building evaluation systems for design quality. The role requires a strong design craft, intuition for language and personality, and the ability to ship regularly.

Product Manager for Microsoft Foundry's AI Models & Training organization, focusing on platforms and infrastructure for training, evaluating, launching, and operating AI models at scale. The role involves defining product strategy and roadmaps for model training, inference, experimentation, and platform enablement, driving initiatives across the AI model lifecycle, and enabling internal teams and customers to access and adopt models. Requires strong technical fluency, ability to lead cross-functional initiatives, and experience with AI/ML platforms and infrastructure.

Principal Technical Program Manager for the OneDrive and SharePoint Applied Science team, focusing on driving high-ambition applied research in areas like agentic AI, retrieval, and content understanding to reshape knowledge management within Microsoft 365. The role involves shaping strategy, managing complex science-heavy initiatives, and ensuring scientific advancements translate into product and platform impact, with a focus on enabling invention at scale and influencing organizational direction.

Principal Product Manager for Search & AI team, focusing on next-generation agentic AI products. The role involves defining vision and execution for generative experiences across search, chat, and other agentic applications, empowering users to accomplish complex tasks. Responsibilities include roadmap definition, turning model capabilities into product features, working with cross-functional teams, and using evaluation methods for product quality and safety. The role emphasizes driving DAU growth through product strategy, distribution tactics, and partnerships.

Principal Product Manager for Microsoft Dynamics 365 Contact Center, focusing on AI-led voice capabilities. The role involves owning the strategy, vision, and roadmap for AI-powered voice experiences, including cloud telephony, IVR, real-time voice AI, and post-call analytics. It requires collaboration with various Microsoft teams, engagement with strategic customers, and driving go-to-market readiness. The role also involves mentoring other PMs and representing Microsoft externally in the CCaaS and contact center AI space.

Senior Director role focused on leading a team to drive AI adoption within healthcare environments, translating AI capabilities into scalable, real-world use cases and operationalized solutions. This involves people management, customer advocacy, and ensuring solutions align with business goals and company methodologies.

Product Manager for the IQ Team (Ontology & Semantic Layer) within Azure Data, focusing on building the semantic backbone that gives AI agents context to reason about business. The role involves defining and delivering the semantic layer vision for Fabric, driving AI-native scenarios by grounding agents in live business operations, and leading end-to-end product strategy and execution for AI solutions on the Fabric platform.

Seeking a Principal Product Manager to drive the design, development, and deployment of generative AI-powered contact center solutions for Dynamics 365. This role involves working directly with top customers on pre-sales and deployment, building solutions hands-on, educating on best practices, and influencing the product roadmap.

The Principal Product Manager will lead product strategy for AI Integrity Foundations, focusing on post-deployment safety, abuse monitoring, content authenticity, and incident response for frontier AI models and experiences. This role involves defining vision and roadmap for foundational integrity capabilities, improving abuse detection systems, owning incident response product capabilities, evolving provenance and content authenticity, and partnering with various teams to integrate AI integrity and security into Microsoft's ecosystem. The goal is to enable responsible deployment, regulatory compliance, and real-world abuse detection of AI systems and agents at scale, driving 0-to-1 product development and establishing key metrics for AI integrity posture.

Product Manager for Responsible AI, focusing on defining and driving product requirements for capabilities that ensure safe, secure, and trustworthy AI systems. The role involves translating emerging AI risks into scalable product features, working across the AI development lifecycle, and engaging with enterprise customers to understand real-world risks and validate product direction. Success is measured by delivering adopted features that improve AI safety, security, or compliance outcomes.

Principal Group Product Manager for OneDrive and SharePoint AI solutions team, shaping the vision and strategy for AI solutions built and customized on SharePoint. The role involves enabling AI solutions, delivering vertical AI value, and tailoring experiences for enterprise customers. It also includes leading a PM organization, fostering customer obsession and innovation, and driving integration with Copilot and Copilot Studio for agentic solutions. The role emphasizes accountability for growing AI usage, empowering customizers, and raising the bar on AI capability evals.

Principal Product Manager for DevOps AI within CoreAI at Microsoft, focusing on leading platform investments to improve how engineers build, ship, and operate software using AI. The role emphasizes turning AI-assisted development into a trusted, end-to-end capability across the engineering lifecycle, ensuring AI workflows meet standards for security, reliability, compliance, and operational excellence.

Product Manager role focused on the growth and deployment of AI multimodal models, working at the intersection of research and product growth to drive user adoption and revenue. Responsibilities include identifying growth opportunities, defining product deployments, owning KPIs, and collaborating with engineering, research, and marketing teams to execute go-to-market strategies.

This Principal PM Manager role at Microsoft AI focuses on managing a team to design, evaluate, and improve AI systems' interactions with tools, APIs, and users. The role involves prompt engineering, policy design, and safety, ensuring AI workflows are accurate, compliant, and user-friendly. Responsibilities include creating policies, designing/refining prompts, evaluating AI responses, and improving model quality and safety for Microsoft AI Monetization.

Senior Product Manager for Microsoft's Foundry Inference & Training team, focusing on product strategy and execution for AI model platforms. The role involves owning product strategy for AI model training, inference, experimentation, and platform enablement, evolving model offerings, driving developer-facing experiences, and defining efficiency metrics. Collaboration with engineering, data science, finance, and go-to-market teams is key, with a focus on solutions for regulated environments.

Principal Group PM Manager to lead a team of Product Managers and own a critical product area within Dynamics 365 Customer Experience AI, focusing on AI-powered Contact Center and Customer Service solutions. The role involves strategy, execution, people management, and cross-team influence for AI-first, agentic, and autonomous products.

Product Manager for CoreAI at Microsoft, focusing on policy enforcement, compliance automation, and AI-driven engineering automation within Microsoft's internal engineering systems. The role involves driving product strategy for platforms that deliver organizational policy controls, event-driven governance workflows, and intelligent automation, with a specific emphasis on integrating multi-agent systems and agentic workflows into engineering platform capabilities.

Principal Project Manager accountable for leading complex, high-impact Cloud, Data, AI, and Security transformation programs for strategic enterprise customers. This role focuses on AI-first delivery models including Generative AI, Azure AI, and Copilot-enabled solutions, moving them from PoC to production-grade enterprise deployments. The role requires strong technical depth, customer trust, and execution in AI, with responsibilities spanning delivery leadership, risk mitigation, stakeholder management, and contributing to AI delivery standards.

Senior Product Manager for the Windows Platform & Developer Experience team, focusing on shaping platform primitives, APIs, and tooling for intelligent, agent-driven experiences. The role involves defining product vision for user signals on Windows, driving strategy for capturing and surfacing user context to power Copilot and AI agents, and influencing on-device model usage on Copilot+ PCs. This includes managing the product lifecycle from definition to launch, driving cross-org adoption, and navigating the intersection of AI and the OS.

This role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security.

The Principal Product Manager/Architect will define and guide the technical architecture of Microsoft Foundry, an AI inferencing platform focused on reliability, scalability, and efficiency for large-scale GPU fleets. The role involves setting product direction for reliability, GPU fleet efficiency, capacity management, and engaging with strategic customers. Success metrics include platform reliability, GPU utilization, and customer outcomes.

Principal Product Manager for Azure AI Foundry and Azure ML, shaping strategy for AI/ML and GenAI platforms including training, deployment, monitoring, and governance. Focuses on developer-centric AI platforms enabling organizations to build, deploy, and operate AI systems at scale.

Product Manager II for Microsoft Foundry, focusing on the AI-first application stack, model serving platform, and generative AI development. The role involves defining product offerings, identifying quality improvement opportunities, tracking metrics, and collaborating with engineering and go-to-market teams to deliver integrated solutions for customers, including those in highly regulated industries.

Product Manager for Visual Studio Copilot, focusing on AI-powered developer experiences within the IDE. The role involves defining product strategy, roadmaps, and end-to-end workflows for chat, code completions, and agentic capabilities, requiring close collaboration with engineering, design, research, and data science teams. The goal is to enhance developer productivity while ensuring quality, control, and trust, with a strong emphasis on enterprise readiness and competitive differentiation.

Product Manager for Microsoft AI, focusing on building AI-powered consumer products and services that leverage advertising and new business models. The role involves understanding user needs, defining product requirements, managing end-to-end product development, and collaborating with cross-functional teams to deliver AI-first products.