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At Microsoft, we are building the world’s most trusted and developer‑centric AI platforms. Within the CoreAI organization, the Azure AI Foundry & Azure Machine Learning team owns foundational AI platform capabilities that are used across Microsoft products and by enterprises and developers worldwide. As a Principal Product Manager, you will be a senior contributor shaping strategy for critical company‑level AI platform surfaces, working in close partnership with other Principal PMs and engineering leaders. You will contribute to defining long‑term direction for next‑generation AI/ML and GenAI workloads, including custom code training, large‑scale distributed compute, developer‑facing APIs and SDKs, and enterprise‑grade governance and reliability. You will operate at company scale, influencing multiple product and engineering teams and partnering closely with senior technical and business leaders. This role offers the opportunity to help define durable platform abstractions that unlock innovation for developers, data scientists, and ML engineers, while contributing to Microsoft’s long‑term AI platform direction.
Job Responsibility:
Act as a senior contributor to platform strategy for Azure AI Foundry and Azure ML, helping shape multi-year investments across model training, customization, deployment, and lifecycle management
Drive alignment and progress across federated, cross-organizational initiatives, working with peer Principal PMs and multiple engineering teams on shared platform outcomes
Contribute to the definition and evolution of high-leverage platform abstractions (APIs, SDKs, workflows) that enable scalable adoption of GenAI and custom code training workloads
Partner closely with senior engineering leaders to influence architectural direction, surface trade-offs, and ensure platform capabilities meet scale, reliability, and security expectations
Engage with strategic customers and internal stakeholders to gather insights, validate requirements, and translate learnings into durable, reusable platform capabilities
Use data, metrics, and experimentation to evaluate impact and inform product decisions across shared ownership areas
Serve as a thought leader and mentor within CoreAI, elevating product craft, platform thinking, and responsible AI practices across the organization
Requirements:
Bachelor’s degree in engineering, computer science, or a related technical field
Significant experience (typically 8–12+ years) in product management or software engineering with substantial product ownership, including experience working on platform or infrastructure products
Demonstrated ability to operate effectively in large, ambiguous, multi‑team environments with shared ownership and complex dependencies
Strong technical depth in cloud platforms, distributed systems, or AI/ML infrastructure, with the ability to engage credibly with senior engineers and architects
Proven track record of influencing strategy, driving alignment, and delivering outcomes through collaboration rather than direct authority
Strong analytical and systems‑thinking skills, with experience making high‑quality decisions in fast‑moving, evolving problem spaces
Nice to have:
Experience building platforms for developers, data scientists, or ML engineers
Hands‑on exposure to AI/ML or GenAI workloads, including model training, customization, or serving
Experience contributing to platforms operating at global scale, including multi‑region or regulated enterprise environments
Experience with product‑led growth, extensibility, or ecosystem‑oriented platform design