Sr. Director, Business Development – AI Labs and Digital Natives

Advanced Micro Devices, Inc•Santa Clara, 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. AMD's Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct™ GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us AMD is seeking a Senior Director of Business Development to lead global strategy and revenue growth across AI labs and model providers within the Data Center GPU Business Unit. This executive will define and execute AMD’s engagement model for AI-native companies, foundation model developers, AI super users, and large-scale digital native enterprises building advanced AI capabilities. This leader will be responsible for driving large, strategic platform engagements that accelerate adoption of AMD Instinct™ accelerators and AMD’s AI software ecosystem across frontier AI workloads, large-scale model training, inference platforms, and next-generation AI infrastructure deployments. The role requires a blend of executive-level relationship leadership, AI ecosystem fluency, commercial rigor, and cross-functional influence to scale AMD’s position in one of the most competitive and strategically important markets in technology. The ideal candidate brings deep knowledge of AI infrastructure, foundation model workloads, and accelerated compute platforms, along with a proven ability to build and scale strategic relationships in fast-moving markets. You demonstrate: Executive presence with the ability to influence at the board and C-suite level Experience leading large-scale platform negotiations Strong understanding of AI model training economics and inference scaling Ability to translate complex technical capabilities into strategic business value A track record of driving significant revenue growth in highly competitive environment

Requirements

15+ years of experience in business development, strategic sales, or general management within semiconductors, AI infrastructure, hyperscale cloud, or high-growth AI companies.
Direct experience working with foundation model developers, AI-native startups, or large digital enterprises deploying AI at scale.
Deep familiarity with: GPU/accelerator architectures AI training and inference workloads AI software frameworks and optimization Cloud and on-prem AI infrastructure models
Demonstrated success closing complex, multi-hundred-million-dollar or larger technology platform agreements.

Nice To Haves

MBA or advanced technical degree preferred.

Responsibilities

Own global business development strategy for AI end users within the DC GPU Business Unit.
Drive significant revenue growth through multi-year, platform-level engagements.
Develop and execute account strategies across AI-native startups, frontier model developers, and digital-first enterprises.
Structure and close complex commercial agreements involving hardware, software, and ecosystem components.
Establish and maintain C-level relationships with AI and digital enterprise leaders.
Position AMD as a long-term AI platform partner across training and inference workloads.
Represent AMD in strategic industry discussions related to AI infrastructure scaling.
Influence adoption of AMD’s AI software stack, open frameworks, and ecosystem integrations.
Partner with product and engineering teams to align roadmap priorities with advanced AI workload requirements.
Identify co-development opportunities, joint optimization initiatives, and reference deployments.