AMD-posted 6 months ago
Full-time • Senior
San Jose, CA
Computer and Electronic Product Manufacturing

At AMD, we care deeply about transforming lives with our technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems. We are seeking a Senior Product Manager to lead the strategy, roadmap, and execution of AI and ML developer tools that power inference at scale on custom accelerators and heterogeneous hardware platforms. This role is ideal for a technically fluent product leader passionate about shaping next-gen developer experiences and accelerating AI adoption across industries.

  • Lead the product strategy and roadmap for AI developer SDKs and tools, focusing on LLM deployment, optimization, and scaling on accelerators.
  • Partner with engineering to drive feature prioritization, manage release cycles, and contribute to the product delivery lifecycle.
  • Drive developer onboarding, usability, and documentation initiatives to improve Developer Experience (DX).
  • Gather and synthesize feedback from customers, partners, and the community to serve as the voice of the developer.
  • Collaborate with industry partners on product integrations and ecosystem growth.
  • Contribute to go-to-market content including white papers, solution briefs, demos, release notes, and presentations.
  • Mentor junior product managers and contribute to hiring decisions and team scaling.
  • Represent the company and product at conferences, meetups, and workshops.
  • Solid years of product management experience, with a focus on software products for developers or AI/ML workloads.
  • Strong familiarity with AI inference, LLMs, generative AI, or performance optimization for AI workloads.
  • Experience with frameworks like PyTorch, TensorFlow, ONNX, or Triton; plus SDK tools such as OpenVINO or Azure Maia SDK.
  • Proven success collaborating with engineering on rapid release cadences (CI/CD, nightly builds, agile delivery).
  • Comfortable reading and contributing to code (Python, C++, etc.) and using GitHub, JupyterLab, or AI coding tools like Copilot.
  • Excellent stakeholder and partner management skills across internal teams and external organizations.
  • Strong written communication, including technical documentation, product messaging, and community engagement.
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