Note: The job is a remote job and is open to candidates in USA. AMD develops products that accelerate next-generation computing experiences across AI, data centers, PCs, gaming, and embedded systems. The Senior Manager, Technical Product Management will drive performance analysis, projections, total cost of ownership evaluation, and competitive analysis for AMD Instinct Data Center GPU product families. The role will develop performance models, guide product strategy, engage customers, and influence architecture, engineering, and product decisions.
Responsibilities
- **Performance Analysis & Projections:** Develop and maintain models to evaluate system and workload performance across diverse use cases. Generate forward-looking performance projections to guide product strategy, identify bottlenecks, and inform architectural and product tradeoffs
- **TCO & Competitive Analysis:** Develop total cost of ownership (TCO) frameworks that incorporate hardware, software, efficiency, utilization, and infrastructure considerations. Perform competitive benchmarking and analysis to position AMD solutions effectively in terms of performance-per-dollar and performance-per-watt
- **Customer Engagement:** Engage directly with leading Hyperscalers, CSPs, OEMs, and ODMs to understand workload characteristics, performance needs, and economic drivers. Collaborate to ensure alignment between customer requirements and AMD’s product direction
- **Internal Advocacy:** Synthesize performance insights, customer feedback, and industry trends into clear, compelling narratives that influence cross-functional teams, including architecture, engineering, and product management
- **Industry Involvement:** Participate in industry forums, benchmarking efforts, and technical conferences to stay current on workload trends, performance methodologies, and competitive positioning
Skills
- * 5+ years in performance analysis, system architecture, or technical product management in datacenter, AI/ML, or HPC domains
- * Strong experience with system-level performance analysis (compute, memory, networking, storage)
- * Proficiency in performance modeling, benchmarking, and workload characterization
- * Experience with AI/ML and/or HPC workloads and large-scale distributed systems
- * Demonstrated ability to build and apply TCO models (performance-per-dollar, performance-per-watt)
- * Solid programming skills (e.g., Python, C++) for modeling and analysis
- * Proven ability to influence product or architecture decisions through data-driven insights
- * Strong cross-functional communication skills, including customer-facing engagement
- This role is not eligible for visa sponsorship
- U.S. (Austin, Santa Clara, or flexible remote within the U.S.; travel required to customer and partner sites)
- * MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (PhD preferred)
- * Strong experience in the data center/enterprise industry
- * Experience with one or more of the following:
- + Performance modeling, simulation, and benchmarking methodologies
- + AI/ML or HPC workload characterization and optimization
- + System-level performance analysis (compute, memory, networking, storage)
- + TCO modeling, cost-performance tradeoff analysis, and capacity planning
- * Experience working with large-scale distributed systems or hyperscale environments
- * Extensive experience providing technical leadership across cross-functional engineering teams
- * Proven track record of driving technical engagement with industry-leading datacenter customers
- * Demonstrated success in influencing product strategy through performance and economic analysis
Benefits
- Flexible remote work within the U.S.
Company Overview