Lead Enterprise AI Product Manager

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$160,000–$240,000 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday
Closes
Aug 27, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $200k
$149k most similar roles pay here $266k

This role pays less than 55% of similar roles. Most pay $181,637–$243,550 — the shaded band above. At the midpoint, this role pays about $200k versus about $213k for comparable roles.

Based on 239 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Lead Enterprise AI Product Manager

Lead, Enterprise AI Product Manager serves as a senior individual contributor and strategic architect within the Enterprise Business Group and Enterprise AI organization. This role manages two primary mandates: building the ISV partnership ecosystem and overseeing the product lifecycle of the AI appliance portfolio. Responsibilities include identifying enterprise pain points to develop new appliance concepts, creating multi-year roadmaps, performing TCO modeling, and leading channel enablement. The candidate will also manage strategic ISV relationships, ensuring software is validated on AMD silicon like MI300X, MI325x, and MI350. Key competencies include expertise in LLM inference, fine-tuning, RAG architectures, MLOps, and serving frameworks such as vLLM, TensorRT, and ONNX Runtime. The role solves the challenge of delivering enterprise AI through both plug-and-play appliances and validated, partner-integrated stacks for large-scale corporate environments.

What you'll do

  • Formulate new AI appliance concepts by identifying enterprise pain points and defining hardware/software configurations and TCO value propositions.
  • Manage the full product lifecycle for AMD’s AI appliance portfolio, including roadmap ownership, technical development, and go-to-market execution.
  • Develop and scale a strategic ISV partnership ecosystem to provide certified AI solutions across various enterprise verticals.
  • Validate ISV software within OEM and OSV ecosystems to ensure products are certified and commercially ready on AMD silicon.
  • Lead joint go-to-market programs with partners, including co-branded campaigns, joint solution launches, and analyst engagement.
  • Drive cross-functional alignment between engineering, marketing, sales, and finance to accelerate partner integrations and product launches.
  • Manage the ISV program metrics, budget planning, and executive reporting regarding pipeline contribution and business impact.
  • Create internal playbooks and processes to scale partnership programs across new markets and technologies.

What we're looking for

  • Must have 6–10 years of experience at the intersection of enterprise technology and strategic partnerships.
  • Preferred 6+ years of experience in ISV or technology partner management, technical product management, business development, or ecosystem strategy.
  • Must possess a Bachelor's degree in a technical field (CS, Engineering, Data Science) or an equivalent combination of education and experience.
  • An MBA is considered a strong plus for this role.
  • Must have deep knowledge of enterprise AI deployment including LLM inference, RAG, MLOps, and AI serving frameworks.
  • Must demonstrate the ability to formulate product concepts based on enterprise pain points and develop TCO models and roadmaps.
  • Must have a track record of building strategic ISV partnerships that deliver measurable outcomes like co-sell revenue and joint launches.
  • Must possess executive presence and communication skills to engage with C-suite and VP-level stakeholders.

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