NVIDIA is seeking a Senior Product Manager to drive strategy and development of NVIDIA Enterprise Reference Architectures and the Enterprise AI Factory program. You will turn validated cluster designs, deployment guidance, and software solutions into repeatable, partner-ready offerings that help enterprises deploy AI infrastructure with confidence.
You will work across architecture, engineering, technical marketing, product marketing, OEM partners, and sales. The ideal candidate combines strong product judgment, technical knowledge, and an ability to build alignment across teams and organizations!
What you'll be doing:- 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 the development and publication of reference architecture documentation, deployment guides, solution overviews, and executive-level materials for partners, engineering teams, field teams, and customers.
- Collaborate with OEM partners and NVIDIA 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 as they accelerate system bring-up, complete technical reviews, and expand their offerings across key cluster configurations.
- Develop and manage the Enterprise Reference Architecture configuration tool. Improve the accuracy and consistency of solution sizing for sellers, account teams, and partners.
- Equip NVIDIA's worldwide field organization and OEM sales teams with clear software and solution roadmaps, presentations, and technical stories. Build program awareness, strengthen field confidence, and support customer adoption.
- Define success metrics and use feedback from customers, partners, and field teams to guide product priorities and program improvements.
What we need to see:- 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.
- A demonstrated ability to influence decisions and build alignment across teams, including when you do not have direct authority.
- Working knowledge of enterprise AI infrastructure. Relevant areas may include 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 experience presenting technical and business topics to senior leaders, partners, or customers.
- A bachelor's degree or equivalent experience.
Ways to stand out from the crowd:- 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 that help OEMs bring offerings to market.
- Experience crafting configuration or workflow tools that improve quoting, sizing, field accuracy, or solution consistency.
- Familiarity with product lifecycle management, release management, and documentation practices for enterprise infrastructure.
- An MBA, a master's degree in engineering, or other advanced technical or business education.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 9, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
