← All roles

Enterprise AI Product Manager

AMD· Engineering
Apply on company site
Hybrid (Santa Clara, CA), Hybrid (Austin, TX)$134.4kFull-timePosted 1mo ago

About the role

Enterprise AI Partner & Product Manager focused on building and scaling AMD's ISV partner ecosystem to deliver certified AI software solutions running on AMD hardware for Fortune 5000 enterprises, enabling on-premises or cloud deployments.

Responsibilities

  • Build and manage a portfolio of ISV partnerships — serving as AMD's primary point of contact across ISV product, engineering, and go-to-market teams.
  • Recruit new ISV partners aligned with AMD's vertical priorities: Healthcare, Finance, Telco, Manufacturing, Retail, and Media & Entertainment.
  • Validate ISV software within OEM and OSV ecosystems and on AMD silicon (MI300X, MI325x, MI350) — coordinating technical enablement with AMD's engineering to ensure ISVs are certified and go-to-market ready.
  • Develop and execute joint business plans with ISV partners — including co-sell motions, solution integrations, certification programs, and joint marketing initiatives.
  • Track partner health, milestone delivery, and joint pipeline; identify and act on opportunities to deepen ISV integration and expand business impact.
  • Collaborate with AMD business development, marketing, field sales, and legal to support partner integrations, joint launches, and customer engagements.
  • Develop solution briefs, technical reference architectures, competitive analyses, and event content that communicate the value of AMD's enterprise AI solutions to technical and executive audiences.
  • Support partner summits, industry events, and executive briefings with materials and direct representation.
  • Execute partnership activities and joint GTM initiatives within approved budgets; track spend and report on program expenditures to support broader investment decisions.

Qualifications

  • 3+ years of experience in partner management, business development, technical product management, or solutions engineering — within enterprise AI, cloud, semiconductor, or enterprise software.
  • Working knowledge of enterprise AI applications, their usage and deployment stack: LLM inference, RAG pipelines, AI agents, MLOps, model serving frameworks, containerized deployment (Kubernetes, Docker), and AI hardware accelerators.
  • Understanding of how enterprises evaluate, procure, and deploy AI infrastructure — including TCO analysis, vendor qualification, and IT procurement cycles.
  • Experience with product management activities including roadmap coordination, solution brief development, or go-to-market launch execution.
  • Strong written and verbal communication skills; comfortable presenting to engineering and executive audiences.
  • Technical fluency in GPU compute, AI software stacks, or inference platforms is a meaningful advantage.
  • Bachelor's degree in a technical field (CS, Engineering, Data Science) preferred; business or marketing degree with strong technical exposure considered. MBA a plus, or equivalent combination of education and experience.

Skills

Required:ISV partnership managementEnterprise AI deployment

Benefits

  • (Benefits offered are described: AMD benefits at a glance)
Last updated Oct 15, 2026. Interested? Apply on the company site.
AMD logo

About AMD

together we advance_AI

AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

AIData CenterHigh-Performance ComputingGamingEdge Devices
Company profileWebsite

More open roles at AMD