Senior Product Manager – Enterprise Reference Architecture

NVIDIA

Senior Product Manager developing NVIDIA enterprise AI infrastructure reference architectures and Enterprise AI Factory programs. Enabling OEM partners, field teams, and customers to deploy validated AI systems at scale.

Posted 8/5/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $208,000 - $327,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for enterprise infrastructure and AI platforms, with a strong focus on developing reference architectures and managing cross-functional initiatives. Proficient in guiding technical documentation and enhancing partner adoption through effective communication and collaboration.

Highest-signal resume keywords

Product ManagementEnterprise AI InfrastructureCross-Functional LeadershipTechnical CommunicationReference Architecture Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product RequirementsSolution SizingValidation ProgramsConfiguration ToolsRelease Management

Soft Skills

Influencing DecisionsBuilding AlignmentClear Communication

Tools & Technologies

KubernetesOrchestration PlatformsData Center Deployment

Certifications & Qualifications

Bachelor's DegreeMBA

Industry Keywords

Enterprise InfrastructureAI PlatformsReference ArchitecturesOEM PartnershipsTechnical Marketing

Tech Stack

Tools & technologies

Kubernetes

About the role

Key responsibilities & impact

Lead product management for NVIDIA Enterprise Reference Architectures and the Enterprise AI Factory program
Translate strategy and customer needs into product requirements, priorities, roadmaps, and release plans
Guide development and publication of reference architecture documentation, deployment guides, solution overviews, and executive-level materials
Collaborate with OEM partners and teams across architecture, engineering, storage, software, technical marketing, product marketing, and campaigns
Capture requirements, evaluate tradeoffs, and deliver validated reference architectures through a predictable release process
Help OEM partners adopt NVIDIA Reference Architectures through design endorsement
Support partners with system bring-up, technical reviews, and expansion across key cluster configurations
Develop and manage the Enterprise Reference Architecture configuration tool
Improve solution sizing accuracy and consistency for sellers, account teams, and partners
Equip worldwide field and OEM sales teams with software and solution roadmaps, presentations, and technical stories
Build program awareness, strengthen field confidence, and support customer adoption
Define success metrics and use customer, partner, and field feedback to guide priorities and improvements

Requirements

What you’ll need

12+ years of product management or related experience in enterprise infrastructure, AI platforms, data center systems, reference architectures, or similarly complex datacenter solutions
Experience leading cross-functional initiatives involving engineering, architecture, marketing, sales, and external partners
Ability to influence decisions and build alignment across teams without direct authority
Working knowledge of enterprise AI infrastructure, including compute clusters, networking, storage, provisioning, observability, Kubernetes, orchestration platforms, or data center deployment
Experience working with OEMs, technology partners, customers, or field organizations to improve adoption and deliver programs at scale
Clear written and verbal communication skills, including presenting technical and business topics to senior leaders, partners, or customers
A bachelor’s degree or equivalent experience
Background with enterprise AI factory deployments, NVIDIA-based infrastructure, or reference architecture programs spanning hardware, software, and operations
Experience developing validation, certification, endorsement, or partner-readiness programs
Experience crafting configuration or workflow tools for quoting, sizing, field accuracy, or solution consistency
Familiarity with product lifecycle management, release management, and enterprise infrastructure documentation practices
MBA, master’s degree in engineering, or other advanced technical or business education is a plus

Benefits

Comp & perks

Equity
Benefits
Equal opportunity employer
Inclusive work environment