Principal Technical Product Manager- Accelerator Optimization

Microsoft is building the infrastructure that powers the next generation of AI services at global scale. We are looking for a Principal Product Manager to own the AMD (Advanced Micros Devices) inference platform optimization strategy for Azure AI services, ensuring that advanced AI models are delivered on AMD GPUs (Graphics Processing Units) with strong performance, correctness, stability, compatibility, and release quality. This role is focused on making AMD a first-class production platform for AI inference through clear product strategy, disciplined execution, and deep partnership with engineering and external vendor teams.

This is a senior individual contributor role for someone who is comfortable operating at the intersection ofAI models, GPU systems, compiler/runtime dependencies, model serving, performance engineering, and large-scale cloud deployment. The successful candidate will translate complex platform realities into a clear roadmap, measurable product outcomes, and sustained engineering improvements across the AMD stack.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positivelyimpactour culture every day.

• Work with customers and AMD Partners to define and drive the product strategy,roadmap, and execution for AI modeloptimization on AMD GPU platforms, including current and future hardware generations.

• Partner closely with engineering teams across kernels, runtime, compiler, performance, quality, and service deployment to prioritize work across performance optimization, correctness, compatibility, stability, bug resolution, and release quality.

• Own AMD-specific technical product decisions across the inference stack, including platform tradeoffs involving throughput, latency, scalability, memory behavior, quality, reliability, cost efficiency, andtime todelivery.

• EnsuringAMD implementations meet production standards for performance and operational quality.Own and drive improvements to KPIs related to throughput, latency, and hardware efficiency (e.g., GPUutilization, capacity savings), and track impact using standardized performance and cost metrics.

• Drive release readiness across the AMD release lifecycle, including planning, validation, regression prevention, deployment readiness, and production handoff.

• Use data from benchmarking, testing, production signals, and incident trends to inform prioritization and to improve platform performance, reliability, and predictability over time.

• Serve as the primary product lead working with AMD engineering and product counterparts, building strong operating rhythms and clear accountability for performance, feature readiness, and issue resolution.

• Partner with internal engineering and service teams toidentifyand resolve AMD-specific production issues and regressions and contribute to root cause analysis and long-term systemic improvements.

• Improve engineering systems and processes related to AMD releases, branch strategy, testing, and delivery so that the platform can scale with greater velocity and less operational fragility.