Senior Product Manager – Enterprise Reference Architecture

Jobtailor; California (MO); On-site; USD 160,000 - 230,000; Full time

Job summary

NVIDIA is seeking a senior product management leader to drive the Enterprise Reference Architectures and Enterprise AI Factory programs in the US. You will translate customer needs into strategic roadmaps, guide architecture docs, and align cross-functional teams across engineering, marketing, and partnerships to deliver validated reference architectures on a predictable release cycle.

The role requires deep expertise in enterprise AI infrastructure, strong stakeholder communication, and a track

Qualifications

• 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

Responsibilities

• 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

Skills

Product Management

Cross-Functional Leadership

Technical Communication

Reference Architecture Development

Enterprise AI Infrastructure

OEM Partnerships

Education

Bachelor's Degree

MBA

Tools

Kubernetes

Orchestration Platforms

Data Center Deployment

Job description

• 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

• 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

Core Competencies

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 Management
• Enterprise AI Infrastructure
• Cross-Functional Leadership
• Technical Communication
• Reference Architecture Development

ATS Optimization Keywords

Hard Skills

• Product Requirements
• Solution Sizing
• Validation Programs
• Configuration Tools
• Release Management

Soft Skills

• Influencing Decisions
• Building Alignment
• Clear Communication

Certifications & Qualifications

• Bachelor's Degree
• MBA

Industry Keywords

• Enterprise Infrastructure
• AI Platforms
• Reference Architectures
• OEM Partnerships
• Technical Marketing

Tools & Technologies

• Kubernetes
• Orchestration Platforms
• Data Center Deployment