Memory Partnerships Product Lead for AI Data Center

Advanced Micro Devices, Inc.

Santa Clara (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices, Inc. seeks a Sr. Manager to lead AI ecosystem memory partnerships within the Data Center Solutions unit.

The role focuses on defining and delivering memory-focused ecosystems and engaging with ecosystem partners to grow AMD’s market share in data center AI infrastructure. You will translate customer requirements and market signals into strategic product roadmaps, influence architecture, and drive execution across memory, CPU, GPU, and networking portfolios.

Qualifications

  • Experience in memory and storage solutions for large-scale data center systems.
  • Familiarity with JEDEC, SNIA or memory standards bodies is a plus.
  • Strong ability to translate market signals into product requirements and roadmaps.

Responsibilities

  • Own end-to-end partner product evangelism for AMD memory ecosystem within Data Center Solutions.
  • Engage with ecosystem partners to enable AMD's strategic goals in memory and AI infrastructure.
  • Regularly align roadmaps with partners and influence internal architecture and strategies.
  • Develop strategies for industry standards engagement and ecosystem collaboration.
  • Identify opportunities in AI workloads and cloud provider ecosystems and build relationships.

Skills

Memory partnerships
Ecosystem strategy
Product management
Stakeholder influence
Executive communication
AI/ML understanding
Architecture-aware

Education

BS/MS in Electrical Engineering or Computer Science

Job description

Advanced Micro Devices, Inc. seeks a Sr. Manager to lead AI ecosystem memory partnerships within the Data Center Solutions unit.

The role focuses on defining and delivering memory-focused ecosystems and engaging with ecosystem partners to grow AMD’s market share in data center AI infrastructure. You will translate customer requirements and market signals into strategic product roadmaps, influence architecture, and drive execution across memory, CPU, GPU, and networking portfolios.

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