Sr. Manager, Memory Partnership Product Management – Data Center Solutions - CA, Santa Clara, United States
Product & Program Management
Originally posted 28 September 2026 by the employer.
About the role
This role involves defining and delivering compute and AI infrastructure platforms, focusing on memory partnership product management for the Data Center Solutions business unit.
What you'll do
- Manage strategic ecosystem partnerships to achieve AMD’s business and technology strategy objectives.
- Evangelize AMD data center solutions technologies/products and capabilities to memory partners.
- Drive roadmap alignment with partners, identifying synergies, disconnects, and emerging opportunities.
- Cultivate technical and business relationships with key players in the growing AI market.
- Translate customer requirements, market signals, and technology trends into product strategies for strategic partnerships within the memory ecosystem.
- Lead high-priority, cross-functional initiatives such as long-term technology and ecosystem planning, and multi-generation/multi-partner roadmap alignment.
What you'll need
- Experience with memory, storage, CPU, and data center GPU product knowledge.
- Expertise in machine learning applications and solutions.
- Strong understanding of customers’ business and decision makers.
- BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related technical discipline.
- Strong marketing and presentation skills.
- Self-motivated and capable of operating autonomously through ambiguity.
Nice to have
- Experience in the computing industry, at the OEM or ODM, or CSP level.
- Background in memory and storage solutions used in large-scale data center systems.
- Experience in JEDEC, SNIA or other standards bodies with a focus on memory.
- Expertise in enabling, building, and deploying industry standards and ecosystems.
- Familiarity with semiconductor business practices, operations, and product lifecycles in the networking, compute, storage, and/or memory segments.
- Experience with AI players and/or CSPs.
- Knowledge of AI workloads and SW stack.
- Background in architecture-driven product management or system engineering.
Skills: product management, memory ecosystem, roadmap alignment, market share growth, AI infrastructure