Sr. Program Manager

Advanced Micro Devices, Inc•San Jose, CA

13h

About The Position

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. We're building a Forward Deployed Engineering organization that embeds directly with customers to drive success on their GPU infrastructure. This isn't traditional program management, you'll be the connective tissue between our customers' AI/ML ambitions, our engineering teams, and our product roadmap. You'll own the end-to-end success of customer programs, from initial engagement through deployment and optimization. You'll need to go deep technically, build genuine relationships, and drive cross-functional teams toward outcomes that matter.

Requirements

10+ years in technical program management, solutions engineering, or customer-facing technical roles
Hands-on experience with AI/ML workflows: training, fine-tuning, inference optimization
Working knowledge of GPU infrastructure, cluster management, and performance tuning
Track record of driving complex, multi-stakeholder programs to completion
Strong technical communication—comfortable in a room with ML engineers and with executives
Customer empathy and a genuine orientation toward their success
Ability to influence without authority across organizational boundaries
Comfort with ambiguity; you define the path when one doesn't exist

Nice To Haves

Experience with large-scale distributed training or inference systems
Familiarity with ML frameworks (PyTorch, JAX) and optimization tools
Background in datacenter infrastructure or cloud platforms
Prior work in forward-deployed, professional services, or customer success engineering roles

Responsibilities

Own customer program execution from kickoff to success metrics achievement
Embed with customers to deeply understand their AI/ML workloads, infrastructure, and business objectives
Coordinate cross-functional teams (engineering, product, sales, support) to unblock customer progress
Translate customer pain points and requirements into actionable product feedback
Build and maintain program roadmaps, track milestones, and proactively manage risks
Serve as the customer's internal advocate while maintaining honest, trust-based external relationships
Identify patterns across customer engagements that inform broader organizational priorities