Senior Product Manager, AI Infrastructure Capacity Platform

NVIDIA

. Own product strategy for resource planning, operational workflows, platform visibility, and infrastructure analytics .

Posted 9/30/2026full-timeRemote • California • United StatesSenior💰 $208,000 - $327,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product strategy and development, particularly in resource planning and infrastructure analytics. Proficient in using AI tools for data analysis and product design, with a strong focus on user-centric solutions and cross-functional collaboration.

Highest-signal resume keywords

Product Strategy OwnershipAI Tools ProficiencyInfrastructure Product ManagementCross-Functional CollaborationMetrics Definition and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product DevelopmentUser Story DefinitionTechnical RequirementsData AnalysisMockup CreationOperational EfficiencyDecision-Making MetricsCustomer-Centric Product DesignResource AllocationPlatform Adoption

Soft Skills

Strong Work EthicCollaborative AttitudeAnalytical ApproachCommunication SkillsProblem-Solving

Tools & Technologies

ClaudeFigmaSketchAI-Assisted Design ToolsWhiteboarding Tools

Industry Keywords

Infrastructure AnalyticsOperational WorkflowsFinOpsCloud Service ProvidersInternal PlatformsData CenterGPU InfrastructureCustomer SuccessSolutions EngineeringPlatform Products

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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