Technical Product Manager - Enterprise AI
About The Position
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: This role sits within AMD’s Enterprise AI product organization, working at the intersection of AI software, infrastructure, and platform strategy. The team is responsible for shaping and delivering enterprise-grade AI platforms that span ROCm infrastructure, Kubernetes orchestration, GPU virtualization, AI frameworks, and performance optimization. In this role, you will work directly with senior product leadership and collaborate closely with cross-functional engineering teams to translate complex technical capabilities into cohesive, production-ready enterprise AI solutions. You will gain exposure to the full product lifecycle — from strategy and roadmap definition to execution, launch, and post-release iteration — while learning how large-scale AI platforms are built and operated in real enterprise environments. This is a highly collaborative, fast-moving environment where curiosity, systems thinking, and a willingness to learn are valued. The role offers hands-on experience across hardware-aware software stacks, modern cloud-native platforms, and enterprise AI use cases, with opportunities to grow technical depth and product leadership skills. THE PERSON: The ideal candidate is intellectually curious, technically grounded, and motivated to learn quickly in complex problem spaces. You enjoy working across disciplines, asking good questions, and turning ambiguity into clarity. You are comfortable engaging with engineers and stakeholders at different levels, and you take ownership of outcomes even when the path forward is not fully defined. You are detail-oriented but able to think at a systems level, balancing technical depth with product perspective. You communicate clearly, listen actively, and value collaboration. You are excited by the challenge of building enterprise AI platforms that move beyond experimentation into real-world production use.
Requirements
- Experience or strong exposure to machine learning systems, AI model lifecycles, or AI/ML frameworks such as PyTorch, TensorFlow, ONNX, or similar.
- Familiarity with cloud-native technologies, such as Kubernetes, containerized workloads, or distributed systems.
- Experience translating technical concepts into product requirements, documentation, or stakeholder communications.
- Participation in internships, research projects, open-source contributions, or industry projects related to software, AI/ML, or infrastructure.
Nice To Haves
- Exposure to GPU compute stacks, performance optimization, virtualization concepts, or infrastructure-aware software is a plus.
Responsibilities
- Partner with Enterprise AI product leadership to support product strategy, roadmap development, and execution across AI/ML platforms and services.
- Work closely with cross-functional engineering teams (AI frameworks and libraries, Kubernetes and orchestration, GPU virtualization, model performance, and ROCm infrastructure/software) to translate strategic objectives into clear product requirements.
- Contribute to the end-to-end product lifecycle for assigned features or components, including requirements definition, prioritization, release readiness, and post-launch evaluation.
- Collaborate with internal teams and partners to align technical dependencies, APIs, and ecosystem integrations.
- Engage with internal stakeholders and customers to gather feedback, validate use cases, and inform iterative product improvements.
- Support go-to-market and enablement efforts through the development of technical collateral, demos, and internal documentation.
- Track progress, communicate status, and surface risks or trade-offs to cross-functional teams and leadership.
Benefits
- Benefits offered are described: AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
