Senior Product Manager, AI Infrastructure and Solutions

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CAAustin, TXSeattle, WA
Salary
$188,000–$282,000 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Sep 20, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $235k
$154k most similar roles pay here $296k

This role pays more than 70% of similar roles. Most pay $177,737–$243,525 — the shaded band above. At the midpoint, this role pays about $235k versus about $211k for comparable roles.

Based on 240 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 394 open roles on FindRole.

Listed pay typically runs $164,000–$246,000 across 394 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Product Manager, AI Infrastructure and Solutions

Sr. Product Manager - AI Infrastructure and Solutions joins the team to own system-level product definition, integration readiness, and launch readiness for solutions combining hardware and software into deployable offerings. This role involves translating customer and segment needs into testable requirements across platform hardware, firmware, drivers, software stacks, and ecosystem dependencies. The candidate will author System Requirements Specifications, manage prioritized backlogs, lead cross-functional dependency planning, and set performance targets with engineering teams. Key responsibilities include providing product truth for sales enablement and managing post-launch feedback triage. Essential skills include systems thinking, technical credibility in platform architecture, and the ability to navigate ambiguity to create structured decisions. The role focuses on solving complex integration challenges within data center infrastructure, AI/ML platforms, and HPC systems by coordinating across silicon, software frameworks, and cloud images.

What does a Product Manager earn in California?

Median $221750 from 153 postings across 39 companies.

See salary data

What you'll do

  • Define system-level product requirements for hardware and software integration across the entire technology stack.
  • Author and maintain System Requirements Specifications including firmware, drivers, software stacks, and lifecycle expectations.
  • Translate customer and segment needs into a structured, prioritized backlog of technical requirements.
  • Identify and manage cross-functional dependencies across silicon, software frameworks, and partner ecosystems.
  • Establish performance targets and benchmarking methodologies to ensure validated configuration claims.
  • Provide "product truth" to sales and marketing teams regarding supported configurations, limitations, and known issues.
  • Manage post-launch feedback loops to prioritize hotfixes and inform future product roadmaps.
  • Communicate risks, decisions, and status updates clearly to executive leadership and cross-functional partners.

What we're looking for

  • Experience in Product Management, Systems Engineering, or related roles in data center infrastructure, AI/ML platforms, HPC systems, or enterprise solutions (preferred).
  • Experience defining and launching system-level solutions involving hardware, firmware, drivers, software frameworks, and partner ecosystems (preferred).
  • Strong knowledge of platform architecture, firmware/driver dependencies, and benchmarking methodology (preferred).
  • Ability to translate customer needs into technical requirements for hardware, firmware, and software stacks.
  • Proven ability to manage cross-functional dependencies and lead integration planning across multiple teams.
  • Experience communicating complex information and risks to executive audiences through high-quality written and verbal artifacts.
  • Bachelor degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (strongly desired).
  • MBA or Master’s degree in Engineering, Computer Science, or a related field (preferred).

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