Senior Product Manager, AI Infrastructure Capacity Platform

🔥 2 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $208k - $327.8k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Own product strategy for resource planning, operational workflows, platform visibility, and infrastructure analytics • Translate product strategy into a roadmap and prioritized backlog aligned with AI infrastructure goals • Collaborate with engineering, operations, data analytics, product, and other cross-functional partners • Understand user difficulties and opportunities and translate needs into shipped capabilities • Define features with user stories, customer outcomes, technical requirements, and acceptance criteria • Drive end-to-end product development from discovery through delivery and adoption • Define metrics, dashboards, and insights to improve decision-making, operational efficiency, and platform adoption • Define future platform capabilities and create simple UI mocks, flows, or prototypes using AI-assisted design tools • Partner with engineering on technical integrations, system constraints, reliability, scalability, and responsiveness • Surface risks early, resolve blockers, build trust across teams, and drive platform adoption

🎯 Requirements

• BS or MS (or equivalent experience) 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, including direct work with users, internal collaborators, or enterprise customers • Strong product sense and ability to identify high-value problems, craft coherent solutions, and make sound tradeoffs across user experience, business value, and technical feasibility • Experience working directly with infrastructure, operations, or resource-focused products, including allocation/quotas, observability, FinOps, or internal platforms • Experience driving adoption of early-stage or evolving platform products involving complex cross-functional collaborator groups • Hands-on experience using AI tools to analyze data, explore product concepts, accelerate product workflows, or improve decision-making • Ability to create simple mockups, flows, or prototypes using Claude, Figma, Sketch, whiteboarding tools, or AI-assisted design tools • Strong analytical approach and communication skills • Experience defining metrics and using data to guide prioritization and product decisions • High ownership, strong work ethic, and positive, collaborative, low-ego attitude • Experience as a platform or infrastructure product manager in environments with many internal customers • History of building internal tools or cross-functional operational platforms • Prior operational experience in infrastructure or capacity-related roles, such as operations or data center/cloud environments • Experience working with cloud service providers and GPU/AI infrastructure • Prior customer success, solutions engineering, or field-facing experience with infrastructure or platform products

🏖️ Benefits

• Highly competitive salary • Comprehensive benefits package • Equity • Benefits for employees and their families