Own the product vision, strategy, and roadmap for the infrastructure layer of the M365 LLM platform, and turn that direction into plans engineering teams can execute. Act as a platform architect: reason end to end across hardware SKU selection, fleet management and allocation, model serving, and optimization opportunities, and drive consistent decisions across all of them. Lead the product direction for AI-driven decision systems: agents and automation that recommend how to place, allocate, and transition GPU and CPU capacity based on live constraints, availability, and demand. Replace manual, ticket-driven intake and allocation with intelligent, self-service platform capabilities, and measure their adoption and impact. Bring a strong customer and partner mindset—partner with Copilot scenario teams and platform partners to understand their needs and translate them into durable platform capabilities and investments. Identify and prioritize efficiency and performance optimizations across hardware, serving, and models, weighing cost, performance, and reliability with partners across engineering, finance, and supply chain. Advance platform, model, and hardware transition strategy, including bringing new hardware generations and models onto the platform. Bachelor's Degree AND 8+ years experience in product/service/program management or software development Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Experience as a product owner or architect for large-scale cloud, AI, or distributed systems platforms, with the ability to reason end to end from hardware to service. Experience with LLMs, model-serving platforms, GPU infrastructure, or large-scale AI-powered products. Track record of building AI-driven or automated products that replace manual operational processes. Experience taking on ambiguous, high-stakes work and driving it independently from strategy through execution across organizations. Proven ability to think at the platform level while keeping a strong customer mindset—translating customer and partner needs into durable platform capabilities. Experience leading large-scale cloud infrastructure, capacity planning, or distributed systems work, with grasp of hyperscale service delivery. Experience with LLMs, model-serving platforms, GPU capacity planning, or large-scale AI-powered products. AI fluency, including using AI agents, automation, and prototyping to speed up analysis, decisions, and product work. Experience using telemetry, demand signals, and operational data to guide platform and investment decisions. Experience mentoring and developing product managers and technical leaders. Systems-level problem solving and clear communication, with the ability to influence senior leaders and align stakeholders across organizations.