Senior Product Manager – Enterprise Reference Architecture

• 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