Director – Cloud, HPC & Sovereign AI Customer Engineering

THE ROLE: 

At AMD, we push the boundaries of innovation to solve the world's most important challenges. As the Director of Cloud, HPC & Sovereign AI Customer Engineering within the Compute & Enterprise AI Solutions Customer Engineering organization, you will lead the team responsible for enabling successful deployment, adoption, and lifecycle support of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers. 

This highly visible leadership role oversees a team of Customer Program Managers (CPMs) responsible for guiding customers through new product introductions, deployment readiness, production ramp, and long-term fleet sustainment. Working closely with customers, Customer Platform Engineering, Product Management, Engineering and Architecture you will drive successful customer outcomes across the full lifecycle of AMD compute and AI platforms. 

THE PERSON: 

The ideal candidate is a strong technical and organizational leader with experience supporting large-scale cloud, AI, HPC, or datacenter deployments. You have a proven track record of leading customer-facing technical teams, managing complex customer engagements, and driving successful deployment and sustainment of infrastructure at scale. 

You are equally comfortable engaging with customer executives, architects, operations teams, and engineering organizations while driving alignment across AMD. You possess strong technical credibility, customer advocacy skills, and the ability to lead through influence in complex environments. 

KEY RESPONSIBILITIES: 

• Lead and scale the Cloud, HPC & Sovereign AI Customer Engineering organization supporting strategic customer deployments and lifecycle management.

• Lead a team of Customer Program Managers responsible for customer engagement, deployment readiness, new product introduction (NPI) execution, production ramp, and fleet sustainment activities.

• Drive successful deployment, adoption, and operational readiness of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers.

• Serve as the executive escalation point for strategic customer issues and drive resolution of complex deployment, platform, performance, and operational challenges.

• Partner closely with Customer Platform Engineering teams, including PAE, BAE, Security Engineering, and Debug Engineering, to ensure successful customer outcomes.

• Develop deployment methodologies, operational best practices, and customer engagement frameworks that accelerate customer time-to-production.

• Drive fleet sustainment strategies including observability, telemetry, remote diagnostics, lifecycle management, and operational readiness.

• Partner with customers, and AMD engineering teams to support successful platform deployment and long-term fleet success.

• Act as the voice of the customer, ensuring customer deployment experiences and operational insights influence future products, platforms, and solutions.

• Mentor and develop CPM leaders while building a high-performance, customer-focused culture. 

PREFERRED EXPERIENCE: 

• Experience leading customer-facing engineering, technical program management, cloud infrastructure, AI infrastructure, HPC, datacenter operations, or related technical organizations.

• Experience leading technical teams responsible for customer deployments, operational readiness, and lifecycle support of complex infrastructure platforms.

• Experience supporting large-scale cloud, AI, HPC, or enterprise infrastructure deployments from new product introduction through fleet sustainment.

• Strong understanding of datacenter infrastructure, compute platforms, AI systems, observability, telemetry, and operational readiness.

• Experience managing customer escalations and driving resolution of complex technical and operational issues.

• Experience working with hyperscalers, cloud providers, HPC customers, sovereign AI customers.

• Proven ability to drive alignment across engineering, product, operations, and customer-facing organizations.

• Strong communication and executive engagement skills. 

ACADEMIC CREDENTIALS: 

Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field. 

Santa Clara, CA or Austin, TX