Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. Enterprise AI Product Manager The Role The Enterprise AI Partner & Product Manager sits at the convergence of two critical motions: building AMD's enterprise AI partner ecosystem and turning that ecosystem into complete, deployable solutions for Fortune 5000 companies. This role has one core mandate: building and scaling AMD's ISV partnership ecosystem. You will recruit and develop strategic relationships with enterprise AI software vendors (ISVs), validating their software within OEM and OSV ecosystems and on AMD silicon — so that enterprises have access to a rich, certified portfolio of AI software solutions running on AMD hardware, whether deployed on-premises or in the cloud. The result is a validated partner-integrated stack — combining AMD hardware with ISV software, tested within OSV and OEM environments — that gives Fortune 5000 enterprises the flexibility to build and scale their own AI infrastructure their way. This is an individual contributor role with broad cross-functional reach across engineering, product, marketing, sales, and channel partners. The Person You understand how enterprises actually deploy AI — the infrastructure decisions, the software stack choices, the organizational friction, and the TCO trade-offs that determine whether a solution gets bought and scaled or dies in a POC. You have hands-on experience with enterprise AI applications and their deployment environments, and you know how hardware accelerators fit into that picture. You are technically credible with engineers and commercially sharp with partners and customers. You take ideas from conception to market and take ownership of outcomes, not just activities. Key Responsibilities Enterprise AI ISV Partnerships • 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. Cross-Functional Execution • 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. Preferred Experience • 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. Academic Credentials • 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. Location: Santa Clara, CA Austin, TX This role is not eligible for visa sponsorship. #LI-LM1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
Enterprise AI Product Manager
This is an individual contributor role with broad cross-functional reach across engineering, product, marketing, sales, and channel partners.
Enterprise AI ISV Partnerships
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.
Cross-Functional Execution
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.
3+ years of experience in partner management, business development, technical product management, or solutions engineering — within enterprise AI, cloud, semiconductor, or enterprise software.
Santa Clara, CA
Benefits offered are described: AMD benefits at a glance .
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

Nice-to-haves

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.
Academic Credentials
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigollmkubernetesdocker

Platform: amd
Effort: medium