CPU AI Product Manager — AI Inference & Datacenter

Advanced Micro Devices

Santa Clara, Northern (CA, KY)

Hybrid

USD 180,000 - 240,000

Full time

7 days ago
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Job summary

AMD is seeking a Product Manager, CPU AI, to define and drive product strategy for Agentic AI, CPU-based AI inference, and AI workloads. You will lead cross-functional teams with engineering, architecture, software, sales, marketing, and key customers to define requirements and translate insights into product strategy.

The role sits in the Cloud & Enterprise AI group, focusing on maximizing EPYC revenue for AI workloads and driving growth across Cloud and Enterprise segments through strong

Qualifications

  • Extensive experience in product management, product marketing, or related roles.
  • Experience with server CPUs, AI inference, or datacenter platforms.
  • Strong understanding of AI workloads (inference, RAG, Agentic AI, model serving).
  • Experience with AI software ecosystems, benchmarks, or performance optimization.
  • Proven success leading customer proofs of concepts or complex deployments.
  • Ability to translate workload requirements into strategy and business value.
  • Strong analytical and communication skills.

Responsibilities

  • Own product strategy and roadmap for AMD CPU AI workloads.
  • Define positioning and requirements aligned to customer and market needs.
  • Lead product lifecycle from planning through launch and end of life.

Skills

Product leadership
Technical depth
Software fluency
Customer management
Business acumen
Executive communication
Execution discipline

Education

Bachelor degree in Engineering, Computer Science, Business, or related field
MBA preferred

Job description

AMD is seeking a Product Manager, CPU AI, to define and drive product strategy for Agentic AI, CPU-based AI inference, and AI workloads. You will lead cross-functional teams with engineering, architecture, software, sales, marketing, and key customers to define requirements and translate insights into product strategy.

The role sits in the Cloud & Enterprise AI group, focusing on maximizing EPYC revenue for AI workloads and driving growth across Cloud and Enterprise segments through strong

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