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AMD
Santa Clara, California
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
At AMD, we are shaping the future of AI and high-performance computing. As Enterprise End Customers and Digital Native companies evaluate how to build, deploy, and scale AI, they need clear, credible stories that explain what infrastructure matters, why it matters, and how AMD can help.
The AI Infrastructure Messaging Manager will own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise End Customer and Digital Native audiences. This role translates product capabilities, benchmarks, specifications, software advances, AI model trends, and customer use cases into clear, differentiated stories that can be used in campaign narratives, sales decks, Events, launches, keynotes, customer presentations, partner content, and press or analyst materials.
This is not a traditional campaign execution role. This person develops the audience-ready narrative that helps AMD’s product proof points, solution context, market trends, and campaign themes come together in a clear, credible, and compelling way.
THE PERSON
You are a strategic storyteller with strong product instincts, technical curiosity, and market awareness. You can simplify complex technology without losing credibility and are comfortable engaging with product and technical teams on GPUs, CPUs, AI workloads, software, benchmarks, and platform differentiation.
You stay close to AI market trends, including frontier model builders, open-source models, developer behavior, and how Enterprise and Digital Native customers are evaluating and adopting AI. You have hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms, and you understand how customers think about model performance, software readiness, deployment flexibility, infrastructure requirements, and time to value.
You can work quickly with incomplete inputs, ask the right questions, and iterate under tight timelines. You also know how to use modern AI tools to accelerate messaging, research synthesis, content development, and narrative refinement.
At AMD, we are shaping the future of AI and high-performance computing. As Enterprise End Customers and Digital Native companies evaluate how to build, deploy, and scale AI, they need clear, credible stories that explain what infrastructure matters, why it matters, and how AMD can help.
The AI Infrastructure Messaging Manager will own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise End Customer and Digital Native audiences. This role translates product capabilities, benchmarks, specifications, software advances, AI model trends, and customer use cases into clear, differentiated stories that can be used in campaign narratives, sales decks, Events, launches, keynotes, customer presentations, partner content, and press or analyst materials.
This is not a traditional campaign execution role. This person develops the audience-ready narrative that helps AMD’s product proof points, solution context, market trends, and campaign themes come together in a clear, credible, and compelling way.
THE PERSON
You are a strategic storyteller with strong product instincts, technical curiosity, and market awareness. You can simplify complex technology without losing credibility and are comfortable engaging with product and technical teams on GPUs, CPUs, AI workloads, software, benchmarks, and platform differentiation.
You stay close to AI market trends, including frontier model builders, open-source models, developer behavior, and how Enterprise and Digital Native customers are evaluating and adopting AI. You have hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms, and you understand how customers think about model performance, software readiness, deployment flexibility, infrastructure requirements, and time to value.
You can work quickly with incomplete inputs, ask the right questions, and iterate under tight timelines. You also know how to use modern AI tools to accelerate messaging, research synthesis, content development, and narrative refinement.
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