Sr. Product Manager-Data Center GPU

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Sr. Product Manager-Data Center GPU

The Team

AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people.

The Role

We're seeking an experienced Sr. Product Manager to lead our Data Center GPU product line, focusing on developing and executing product strategy for high-performance computing and AI/ML workloads.

The Person

The ideal candidate will combine technical expertise with business acumen to drive product development from conception to market success. Excellence in stakeholder management and cross-functional leadership and strong analytical and quantitative skills with data-driven decision-making skills. The candidate will have outstanding written and verbal communication abilities and partner across the organization internally and with customers.

Key Responsibilities

• Own the product roadmap for data center GPU solutions, aligning with market demands and company strategy.
• Collaborate with engineering teams to define product specifications, features, and technical requirements.
• Conduct market research and competitive analysis to identify opportunities and threats in the data center GPU space.
• Partner with key customers and cloud service providers to understand evolving needs in AI/ML, and HPC.
• Define pricing strategies and work with sales teams to maximize product revenue and market share.
• Create detailed product requirements documents (PRDs) and technical specifications.
• Manage product lifecycle from conception through end-of-life.
• Work with marketing to develop positioning, messaging, and go-to-market strategies.
• Analyze market trends in AI/ML, cloud computing, and high-performance computing.
• Present product strategy to executive leadership and key stakeholders.
  
  
  

Preferred Experience

• Experience with CUDA, ROCm, or other GPU computing platforms.
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch, etc.).
• Solid years of product management experience in hardware or semiconductor industry.
• Strong understanding of GPU architecture, AI/ML workloads, and data center infrastructure.
• Experience with product lifecycle management in B2B technology markets.
• Proven track record of successful product launches in enterprise or data center markets
  
  
  

Academic Credentials

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field
  
  
  

LOCATIONS:

• Santa Clara or Austin, TX preferred
  
  
  

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.