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At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE
We are seeking a driven and skilled Technical Product Delivery Manager to lead the delivery and support of our clients and partners taking into use cutting-edge GPU orchestration solutions for AI and machine learning workloads in Kubernetes environments.
In this role, you will define and drive product delivery and support activities for open-source tooling that bridges infrastructure and AI frameworks. You’ll work closely with engineering, design, and customers to ensure our SW products are successfully taken into use.
You will be part of a core team shaping the future of cloud-native AI infrastructure, enabling efficient GPU utilization, fair scheduling, and seamless integration with modern ML frameworks.
Key Responsibilities
- Define product delivery and support vision, strategy and activities
- Collaborate with engineering to prioritize activities and ensure timely, high-quality support for users.
- Engage with users and stakeholders to gather feedback, create requirements, and drive new features.
- Translate technical usage problems into clear user guidelines and tutorials.
- Champion usability and developer experience across CLI tools, APIs, and interfaces.
- Contribute to open-source community engagement and documentation efforts.
- Proven experience in product delivery and support for developer tools, cloud infrastructure, or AI/ML platforms.
- Strong understanding of Kubernetes, GPU workloads, and AI.
- Ability to work cross-functionally with engineering, design, and product management teams.
- Excellent communication and stakeholder management skills.
- Experience with agile methodologies and product development lifecycle.
- Background in ML/AI workflows, distributed training, or LLM infrastructure.
- Experience with open-source communities and contributions.
- Technical background in software engineering or systems architecture.
- Demonstrated success in launching and scaling technical SW product deliveries and support.
- Strong analytical and problem-solving skills.
- Passion for developer experience and infrastructure innovation.
- Initiative, ownership, and collaborative mindset.
- Bachelor’s or Master's degree in Computer Science, Engineering, or related field.
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.
Key Skills
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