Overview
Define customer scenarios, product requirements, and roadmap priorities for Windows Server AI inferencing experiences. Turn complex infrastructure workflows into simple, guided experiences for administrators and developers. Partner with engineering on configuration, deployment, monitoring, troubleshooting, and lifecycle management capabilities. Use customer feedback, telemetry, and field input to make clear product tradeoffs and ship focused improvements. Help the product work well across enterprise hardware environments, including GPU-accelerated and CPU-based scenarios. Build crisp product narratives, demos, documentation, and success measures that help customers and field teams understand the value. Collaborate across engineering, design, documentation, sales, hardware partners, and go-to-market teams. Bachelor's Degree AND 5+ years experience in product/service/program management or
Full job description
Full Job Description
Define customer scenarios, product requirements, and roadmap priorities for Windows Server AI inferencing experiences. Turn complex infrastructure workflows into simple, guided experiences for administrators and developers. Partner with engineering on configuration, deployment, monitoring, troubleshooting, and lifecycle management capabilities. Use customer feedback, telemetry, and field input to make clear product tradeoffs and ship focused improvements. Help the product work well across enterprise hardware environments, including GPU-accelerated and CPU-based scenarios. Build crisp product narratives, demos, documentation, and success measures that help customers and field teams understand the value. Collaborate across engineering, design, documentation, sales, hardware partners, and go-to-market teams. Bachelor's Degree AND 5+ years experience in product/service/program management or software development. OR equivalent experience. 3+ years of product management experience shipping technical, platform, infrastructure, or enterprise products, or equivalent engineering-to-PM experience. Experience with AI inference platforms, products, services, or related AI infrastructure technologies. Solid technical judgment and ability to work credibly with engineers on systems, APIs, and infrastructure tradeoffs. Experience converting ambiguous customer needs into requirements, roadmap decisions, and shipped outcomes. Deep experience in AI/ML inference, model serving, developer platforms, distributed systems, datacenter infrastructure, cloud, edge, or on-premises environments. Experience working with OEMs, silicon or accelerator providers, ISVs, systems integrators, or other ecosystem partners. Ability to drive cross-functional execution across engineering, design, documentation, field, and go-to-market teams. Data-informed product thinking using telemetry, customer feedback, and rapid iteration.
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