This role pays more than
86%
of similar roles. Most pay
$182,368–$245,925
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1150 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 912 roles with salary data.
As a Senior Product Manager, AI Infrastructure Capacity Platform, you will join the team to shape and deliver a platform that manages how GPU and AI infrastructure is planned, allocated, and operated at scale. You will own product strategy for resource planning, operational workflows, visibility, and analytics while translating these into roadmaps and prioritized backlogs. Your daily work involves collaborating with engineering, operations, and data teams to define features, manage technical trade-offs, and drive adoption across a complex ecosystem. You will utilize AI tools, Claude, Figma, Sketch, and whiteboarding tools to create prototypes and mockups. The role focuses on solving infrastructure usage, efficiency, and readiness problems within the GPU and AI domain. Key requirements include experience with infrastructure products like FinOps or observability, data-driven decision making, and a strong sense of product strategy in fast-moving environments.
What does a Product Manager earn in Remote?
Median $199250 from 81 postings across 36 companies.
Own product strategy for resource planning, operational workflows, and infrastructure analytics to create a prioritized roadmap.
Translate user needs into detailed features with clear user stories, technical requirements, and acceptance criteria.
Drive end-to-end product development from initial discovery through delivery and adoption in fast-moving environments.
Define metrics, dashboards, and data insights to improve decision-making and operational efficiency.
Create UI mocks, flows, and prototypes using AI-assisted design tools to communicate user experience requirements.
Partner with engineering to navigate technical integrations, system constraints, and performance aspects like scalability and reliability.
Drive adoption of infrastructure products across complex cross-functional groups and internal customer bases.
What we're looking for
BS or MS in engineering, computer science, management information systems, or another technical/quantitative field.
12+ years of related experience.
Demonstrated track record of building customer-centric products with users and internal collaborators.
Strong product sense to identify high-value problems and make trade-offs between user experience, business value, and technical feasibility.
Experience working directly with infrastructure, operations, or resource-focused products such as allocation, observability, FinOps, or internal platforms.
Hands-on experience using AI tools for data analysis and product workflows, plus ability to create mockups using tools like Claude, Figma, or Sketch.
Strong analytical and communication skills to define metrics and use data to guide prioritization.
Experience as a platform/infrastructure PM with internal customers or in cloud/GPU environments (preferred).
AI
HPC
Data Center Infrastructure
Firmware
Drivers
ROCm
System Architecture
Benchmarking
Hardware
Software Stack
Product Management
Systems Engineering
Technical Product Management
AI
HPC
Data Center Infrastructure
System Architecture
Firmware
Drivers
Software Stack
ROCm
Benchmarking
Systems Engineering
Product Management
Technical Product Management