Senior Product Lead, ROCm AI Developer Experience

AMD

Seattle (WA)

On-site

USD 140,000 - 210,000

Full time

7 days ago
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Job summary

AMD seeks a technically strong product leader to drive ROCm AI, AMD’s AI-native developer experience, spanning skills, CLI, console, and agentic workflows. You will work with engineering, architecture, developer relations, and strategic customers to define personas, validate product-market fit, and translate insights into roadmaps and go-to-market programs.

You’ll partner across teams to deliver cohesive experiences from discovery to deployment, measure success by adoption and productivity, and

Qualifications

  • Proven years of experience in product management and developer tools for AI/ML infrastructure.
  • Experience defining personas, customer research, and product-market fit for technical products.
  • Ability to translate complex AI concepts into concrete product requirements and roadmaps.

Responsibilities

  • Define the product strategy, roadmap, and success metrics for ROCm AI and its developer experience.
  • Segment core personas and translate pain points into prioritized journeys and deployments.
  • Own requirements and prioritization across AMD Skills, ROCm CLI, ROCm Console, and AI workflows.
  • Collaborate with engineering, marketing, and open-source communities to enable launches.

Skills

Product management
Developer tools
AI/ML infrastructure
Cloud platforms
Open-source
Leadership

Education

B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, Business

Tools

PyTorch
TensorFlow
ONNX Runtime
GitHub workflows
Linux

Job description

AMD seeks a technically strong product leader to drive ROCm AI, AMD’s AI-native developer experience, spanning skills, CLI, console, and agentic workflows. You will work with engineering, architecture, developer relations, and strategic customers to define personas, validate product-market fit, and translate insights into roadmaps and go-to-market programs.

You’ll partner across teams to deliver cohesive experiences from discovery to deployment, measure success by adoption and productivity, and

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