Product Manager, AI Infrastructure

Arm Holdings

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, California
Salary
$211,600–$286,200 / yr
Posted
46 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $249k
$154k most similar roles pay here $300k

This role pays more than 81% of similar roles. Most pay $174,456–$245,325 — the shaded band above. At the midpoint, this role pays about $249k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Arm Holdings

Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.

Arm Holdings currently has 32 open roles on FindRole.

Listed pay typically runs $194,600–$263,250 across 32 roles with salary data.

Most-posted roles

View all roles at Arm Holdings

At a glance

TL;DR · Product Manager, AI Infrastructure

Join Arm’s Cloud AI team as a Senior Product Manager responsible for driving the product direction of next-generation AI compute platforms. You will lead competitive and performance analysis to inform engineering priorities, ensuring that customer workloads are optimized across hardware, software, and services. Your role involves translating technical insights into actionable strategies, fostering alignment among cross-functional teams to enhance system performance and competitiveness. Ideal candidates possess a strong background in datacenter AI workloads and experience with ML accelerators, along with hands-on expertise in building or running large-scale GenAI workloads. Proficiency in systems thinking and the ability to navigate ambiguous challenges are crucial, as is a deep understanding of complex compute systems. This role offers the opportunity to shape cutting-edge products that will define the future of AI infrastructure.

What you'll do

  • Own competitive and performance analysis for AI compute platforms.
  • Identify workload-driven performance gaps and set product priorities.
  • Inform roadmap decisions with data-driven insights across system layers.
  • Drive alignment on system improvements and competitiveness among teams.
  • Translate technical analysis into actionable directions for engineering partners.

What we're looking for

  • 6+ years of product management or related technical leadership experience
  • Strong understanding of datacenter AI workloads and infrastructure
  • Experience analyzing performance of complex compute systems (hardware & software)
  • Ability to drive multi-functional problems and make product tradeoffs
  • Hands-on experience with ML accelerators and large-scale GenAI workloads
  • Expertise in competitive analysis across AI compute platforms and customer workloads

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