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AMD

Enterprise AI Product Manager - CA, Santa Clara, United States

AMD Remote friendly (US, CA, Santa Clara, United States) Full-time 2 months ago
Product & Program Management

Originally posted 27 August 2026 by the employer.

Build and scale AMD's ISV partnership ecosystem with MI300X, MI325x, MI350.

About the role

This role involves building AMD's enterprise AI partner ecosystem and turning that ecosystem into complete, deployable solutions for Fortune 5000 companies. It focuses on building and scaling AMD's ISV partnership ecosystem to ensure enterprises have access to a rich, certified portfolio of AI software solutions running on AMD hardware.

What you'll do

  • Build and manage a portfolio of ISV partnerships, serving as AMD's primary point of contact.
  • Recruit new ISV partners aligned with AMD's vertical priorities.
  • Validate ISV software within OEM and OSV ecosystems and on AMD silicon (MI300X, MI325x, MI350).
  • Develop and execute joint business plans with ISV partners.
  • Track partner health, milestone delivery, and joint pipeline.
  • Collaborate with AMD business development, marketing, field sales, and legal to support partner integrations.
  • Develop solution briefs, technical reference architectures, and competitive analyses.

What you'll need

  • 3+ years of experience in partner management, business development, technical product management, or solutions engineering.
  • 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.
  • Experience with product management activities including roadmap coordination, solution brief development, or go-to-market launch execution.
  • Technical fluency in GPU compute, AI software stacks, or inference platforms.
  • Bachelor's degree in a technical field (CS, Engineering, Data Science) or equivalent experience.

Nice to have

  • MBA.

What you'll need

  • 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.
  • Bachelor's degree in a technical field (CS, Engineering, Data Science) preferred; business or marketing degree with strong technical exposure considered, or equivalent combination of education and experience.

Nice to have

  • MBA.

Skills: ISV partnerships, enterprise AI, software stack, AMD silicon, go-to-market

Market context

This role has been open 49 days — slightly above the 44-day median for Product Management roles.

Product Management · AI ML Hardware

Open roles in category
66
Median days open
44 d
Median salary
$248k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How AMD compares in Product Management hiring
Metric AMD All employers we track in this specialty (66 roles · 21 employers)
Open roles in this specialty 8 66
Median days open 49 d 44 d (+5 d vs this employer)
Median salary (USD postings) — $248k

Skills observed across this category: ISV partnerships, enterprise AI, software stack, AMD silicon, go-to-market

Who's hiring in this category

  • NVIDIA · 21 open roles · median 41 d
  • Qualcomm · 10 open roles · median 63 d
  • AMD (this employer) · 7 open roles · median 48 d
  • NXP Semiconductors · 4 open roles · median 14 d
  • Analog Devices · 3 open roles · median 33 d
  • Intel Corporation · 2 open roles · median 33 d

How we counted: 66 open Product Management (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.

Apply now
US, CA, Santa Clara, United States
Hybrid
Full-time
2 months ago

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