Role intent Live

Principle Product Manager

Microsoft

Work Mode

Onsite

Employment Type

FULL TIME

Location

India, Telangana, Hyderabad

Application Deadline

September 8, 2026

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.

Responsibilities

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, elevating product craft, platform thinking, and responsible AI practices across the organization.

Required Qualifications

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 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.

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