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.

The Principal Data Scientist will leverage data science techniques to solve real-life problems, focusing on defining compensable metrics, designing quota models, and evaluating outcomes. The role involves partnering with data engineering, product, field, and Finance teams to turn large-scale telemetry into decision-ready insights, influencing product direction and executive decision-making. Responsibilities include defining quota-setting strategy, applying ML to quota and incentive design, bridging Finance and Sales teams, and educating stakeholders on quota methodology. The role also involves analyzing challenges, shaping strategy, writing efficient code, leading data integration, and applying expert-level proficiency in big-data and ML engineering tools. Additionally, the role emphasizes a customer-first mindset, building data platforms, and incorporating AI ethics best practices.

This role is responsible for activating and scaling Microsoft Security's AI-first operating model within the Security Engineering organization. It focuses on building programs, rituals, and change infrastructure to embed AI-first behaviors, drive adoption of AI tools and agents, and measure progress. The role acts as a change agent to transform the organization's way of working to be AI-first.

Product Manager II on the Bing Places Data team, owning data product features for Microsoft's geospatial services (Bing Maps, Local Search, Copilot). The role involves understanding partner requirements, translating AI concepts, leveraging AI for customer needs identification, applying data-driven insights, and influencing data product features (models, pipelines, quality systems). The focus is on improving data products for search and copilot experiences, balancing scalability, reliability, and partner needs.

This role is for a Director of Competitive and Market Intelligence focused on Securing AI and Cloud Security. The individual will develop a market view, translate technical and competitive signals into strategies for product, marketing, and go-to-market, and influence product direction by partnering with engineering teams. The role requires understanding customer use cases, emerging threats, vendor landscapes, and translating complex technical concepts into clear narratives. The goal is to help shape how the industry evolves and how Microsoft positions its AI security solutions.

This role is a quota-carrying sales specialist focused on driving the adoption of AI-powered solutions, specifically M365 Copilot, within small and medium enterprises. The specialist will engage with customers, craft value propositions, and collaborate with internal teams and partners to accelerate AI adoption and achieve revenue targets.

Principal Product Designer for Microsoft AI Monetization (MAI) Publisher Monetization team. Focus on designing AI-powered products for advertisers, publishers, sellers, and consumers, with an emphasis on user experience, innovation, and responsible design. This role involves setting design vision, end-to-end product development, and collaborating with cross-functional teams. The designer will use AI tooling and integrate generative AI into products.

Director, Product Marketing Manager for Windows 365 Inbound, responsible for defining inbound strategy, messaging, narrative, competitive strategy, and product partnerships for Desktop as a Service (DaaS). This role involves guiding product shaping based on market landscape and customer needs, crafting the overarching story for Cloud PC, and integrating AI narratives into product messaging. The role requires leading a team of product marketers, driving product marketing strategy, owning positioning and value propositions, and collaborating with various internal teams (Product Management, Engineering, Sales, PR, etc.) for launch excellence and sustained growth. The role also involves contributing to internal communications about Windows Cloud + AI strategy.

Principal Product Designer for Microsoft AI Monetization, focusing on next-generation CRM and Marketing technology experiences. The role involves crafting AI-powered solutions that unify sales and marketing workflows, exploring AI agents, predictive insights, and conversational interfaces to enhance productivity and intelligence for advertisers, publishers, sellers, and consumers. The position emphasizes end-to-end design execution, user-centered approaches, and collaboration across disciplines to deliver category-defining products.

This role is for a Digital Solution Area Specialist focused on AI and Business Process at Microsoft. The primary responsibility is to drive AI-powered business-process transformations by selling Microsoft's Dynamics 365, Power Platform, and Copilot solutions. The role involves owning the engagement cycle, crafting value propositions, and partnering with sales and engineering teams to accelerate customer adoption and achieve revenue targets. While the role is within an AI-focused company and involves selling AI solutions, the core craft is sales and customer engagement, not direct AI/ML model development or research.

Senior Finance Manager for Microsoft's Cloud and Artificial Intelligence (C+AI) business, focusing on revenue planning, investment strategy, and financial analysis for Azure AI. The role involves partnering with Engineering, Product, Sales, and Marketing to shape business models, evaluate tradeoffs, and influence executive decision-making through data-driven insights and financial storytelling. Requires strong strategic and analytical rigor, experience with complex problem-solving, financial judgment, and executive influence.

Product Manager II to own and deliver features within Azure AI Foundry and Azure Machine Learning, focusing on platform capabilities to improve developer productivity and enable AI/ML workloads at scale. The role involves translating customer needs into requirements, working with engineering, and contributing to the long-term AI platform direction.

This role leads the reporting, analytics, and operational technology function within the Audit, Risk & Compliance organization, establishing an org-wide AI program to embed AI into tools and processes. The role manages a team, prioritizes AI embedded reporting and analytics strategy, and translates between audit/compliance stakeholders and engineering. Key responsibilities include running AI tooling platforms, driving AI/agent/analytics modernization for audit workflows, and managing enterprise reporting and KPIs.

This role is for a Director, AI Strategy & Operations Program Manager within Microsoft AI's Superintelligence team. The role focuses on shaping the operating cadence for model development, driving compute and resource allocation, producing competitive intelligence, and authoring strategic analysis to inform leadership decisions. It involves identifying and implementing changes within the organization to ensure success in building capable and safe AI systems. The role requires strong analytical, communication, and execution skills, with a focus on driving outcomes and coordinating across technical and non-technical teams.

This role is for a Principal Strategy and Planning Leader within Microsoft's Engineering organization, focusing on driving cross-portfolio initiatives related to AI and security. The role translates MSEC strategy into execution, partners across various teams, shapes priorities, and accelerates delivery of initiatives that build the control plane for AI-driven organizations. It requires strategic and systems thinking, operational rigor, and executive influence to navigate complex problems at the intersection of AI and security.

Principal Product Manager to lead SMB On-boarding and support experiences across Microsoft Advertising, focused on helping advertisers get started, resolve issues, and achieve value faster throughout their lifecycle. This role is for a senior product leader with a strong track record of building customer-facing product experiences that reduce friction, improve activation and retention, and help customers succeed through clear guidance, intelligent assistance, streamlined workflows, and scalable support. We aim to bring together product, data, and automation to help SMB customers navigate setup, onboarding, troubleshooting, and ongoing account growth with greater confidence and less effort. In this role, you will own the vision, strategy, and roadmap for key onboarding and support experiences across the product. You will work closely with Engineering, Data Science, UX, Product Marketing, Sales, and Support teams to deliver trustworthy, high-impact experiences that improve customer outcomes at scale.

This role leads the sales strategy and execution for AI Business Solutions (ABS) within the Small Medium Business (SMB) segment for the Americas. The focus is on driving adoption and growth of AI tools like Copilot and Dynamics 365, leading a sales organization, and achieving revenue and customer acquisition targets through AI-first selling motions and partner engagement.