Senior Product Manager, AI Infrastructure Capacity Platform

NVIDIA Corporation; Santa Clara (CA); On-site; USD 208,000 - 328,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Senior Product Manager to shape and deliver a platform that supports how GPU and AI infrastructure is planned, allocated, and operated at scale. You will own strategy for resource planning, workflows, visibility, and analytics, translating it into a clear roadmap aligned with AI infrastructure goals.

You will collaborate with engineering, operations, data analytics, and product to define capabilities, drive adoption, and build dashboards and insights that improve decision-making

Qualifications

• 12+ years of related experience.
• Demonstrated track record of building customer-centric products.
• Strong product sense with ability to trade off UX, business value, and technical feasibility.
• Experience with infrastructure, operations, or resource-focused products (allocation/quotas, observability, FinOps, or internal platforms).
• Hands-on experience using AI tools to analyze data and create mockups or prototypes.

Responsibilities

• Own product strategy for core areas: resource planning, workflows, platform visibility, and infrastructure analytics.
• Collaborate with cross-functional teams to translate needs into shipped capabilities.
• Define features with user stories, outcomes, technical requirements, and acceptance criteria; drive end-to-end delivery.
• Define metrics, dashboards, and insights to improve decision-making and platform adoption.
• Create simple UI mocks or prototypes using tools like Claude, Figma, Sketch to convey value.

Skills

Customer-centric product

Product sense

Analytical mindset

Communication skills

Education

BS or MS in engineering or CS or MIS

Tools

Claude

Figma

Sketch

Job description

NVIDIA seeks a Senior Product Manager to shape and deliver a platform that supports how GPU and AI infrastructure is planned, allocated, and operated at scale. You will own strategy for resource planning, workflows, visibility, and analytics, translating it into a clear roadmap aligned with AI infrastructure goals.

You will collaborate with engineering, operations, data analytics, and product to define capabilities, drive adoption, and build dashboards and insights that improve decision-making