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About the Role

Lead end-to-end AI product planning for AMD Client platforms, shaping the intersection of silicon, software, AI ecosystems, and customer experiences. This role defines future AI platform requirements, translates needs into product strategy, and drives alignment across organizations. You will own AI platform definition, workload strategy, AI performance planning, and software roadmap inputs.

Responsibilities

• Define long-range AI platform requirements and product strategy for future Client AI products.
• Author and maintain MRDs, PRDs, and platform requirements.
• Define AI workloads, use cases, model requirements, and platform capabilities.
• Translate customer, OEM, and ecosystem requirements into silicon and software investments.
• Drive AI requirements through product planning, roadmap reviews, and phase-gate processes.
• Define AI benchmark methodologies and performance targets.
• Lead performance attainment planning, rooflining, and competitive analysis.
• Establish proof points that connect technical performance to customer value.
• Drive workload characterization and launch-readiness assessments.
• Develop performance stories and competitive positioning for launches.
• Serve as the Client Business Unit lead for ROCm planning and prioritization.
• Drive Client AI requirements into ROCm roadmap discussions.
• Define requirements for runtimes, frameworks, SDKs, and developer experiences.
• Partner closely with ROCm engineering teams to align software investments with Client product needs.
• Influence long-range AI software strategy and platform capabilities.
• Define software requirements across AI runtimes, frameworks, and applications.
• Drive AI software roadmap planning and launch readiness.
• Engage with OEMs, ISVs, and strategic partners to identify emerging workloads and requirements.
• Support proof-of-concept activities that validate differentiated customer value.
• Stay current with AI frameworks, developer ecosystems, and emerging Client AI use cases.
• Develop whitepapers, proof points, competitive analysis, and launch assets.
• Support customer engagements and ecosystem enablement activities.
• Partner with marketing and business development teams to define AI messaging and product differentiation.
• Translate technical capabilities into compelling customer value propositions.

Requirements

• Passion for AI and a deep understanding of how software and hardware capabilities combine to create differentiated customer experiences.
• Strong combination of technical depth and product leadership.
• Ability to translate customer and ecosystem needs into platform and software requirements.
• Comfortable operating across hardware, software, and ecosystem boundaries.
• Strong communication, alignment, and storytelling skills.
• Ability to navigate ambiguity and drive execution across multiple organizations.
• Proven ownership mindset with accountability for outcomes and customer impact.
• Previous product management experience.
• Experience defining products spanning hardware and software.
• Strong understanding of AI workloads, inferencing, model deployment, and performance analysis.
• Experience working with AI frameworks, developer platforms, runtimes, or AI software ecosystems.
• Experience authoring MRDs, PRDs, competitive analyses, and technical strategy documents.
• Familiarity with AI frameworks, SDKs, developer tools, and software platform planning.
• Experience working with OEMs, ISVs, software partners, or platform ecosystems.
• Background in Client computing, AI software, edge AI, machine learning platforms, or semiconductor product management preferred.

Skills

• AI
• Product Planning
• Silicon
• Software
• AI Ecosystems
• Customer Experiences
• Product Strategy
• Engineering
• Go-to-market
• ROCm
• AI Platform Definition
• Workload Strategy
• AI Performance Planning
• Software Roadmap
• Product Conception
• Product Launch
• AI Software Teams
• Ecosystem Partners
• OEMs
• Research Teams
• Developers
• Differentiated AI Capabilities
• Customer Value
• Technical Depth
• Product Leadership
• Platform Requirements
• Software Requirements
• Hardware
• Communication
• Alignment
• Storytelling
• Ambiguity Navigation
• Execution
• Ownership Mindset
• Accountability
• MRDs
• PRDs
• AI Workloads
• Use Cases
• Model Requirements
• Platform Capabilities
• Silicon Investments
• Software Investments
• Product Planning
• Roadmap Reviews
• Phase-gate Processes
• AI Benchmark Methodologies
• Performance Targets
• Performance Attainment Planning
• Rooflining
• Competitive Analysis
• Proof Points
• Technical Performance
• Workload Characterization
• Launch-Readiness Assessments
• Performance Stories
• Competitive Positioning
• ROCm Planning
• ROCm Prioritization
• Runtimes
• Frameworks
• SDKs
• Developer Experiences
• AI Software Strategy
• AI Applications
• ISVs
• Strategic Partners
• Emerging Workloads
• Proof-of-Concept
• AI Frameworks
• Developer Ecosystems
• Client AI Use Cases
• Whitepapers
• Launch Assets
• Customer Engagements
• Ecosystem Enablement
• Marketing
• Business Development
• AI Messaging
• Product Differentiation
• Customer Value Propositions
• Inferencing
• Model Deployment
• Performance Analysis
• Developer Platforms
• AI Software Ecosystems
• Technical Strategy Documents
• Developer Tools
• Software Platform Planning
• Client Computing
• Edge AI
• Machine Learning Platforms
• Semiconductor Product Management

Location

• Austin, TX

Work Type

• Full-time

Experience Level

• Senior
• Previous product management experience
• Experience defining products spanning hardware and software
• Strong understanding of AI workloads, inferencing, model deployment, and performance analysis
• Experience working with AI frameworks, developer platforms, runtimes, or AI software ecosystems
• Experience authoring MRDs, PRDs, competitive analyses, and technical strategy documents
• Familiarity with AI frameworks, SDKs, developer tools, and software platform planning
• Experience working with OEMs, ISVs, software partners, or platform ecosystems
• Background in Client computing, AI software, edge AI, machine learning platforms, or semiconductor product management preferred

Benefits

• AMD benefits at a glance

About the Company

• At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
• Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward.

Equal Opportunity

• 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.