Nvidia Product Manager AI Partner Solutions OEM Ecosystem 

United States, Texas 

379208932

What You'll be Doing:

• Define and drive the product strategy for on-prem AI Factory solutions, delivered through our ecosystem of ISV and OEM partners.

• Architect and design differentiated, full-stack solutions by defining how our software is integrated into partner software offerings and hardware platforms.

• Engage deeply with strategic partners, including leading enterprise software vendors (ISVs) and major server manufacturers (OEMs), to align on joint roadmaps and go-to-market priorities.

• Develop and maintain clear reference architectures that serve as the foundation for partners to efficiently build, certify, and ship powered enterprise solutions.

• Guide the end-to-end hardware and software lifecycle for certified partner solutions, ensuring alignment between our roadmap and partner product launches.

• Create and execute strategies to drive the adoption and activation of our software components through the partner ecosystem.

What We Need to See:

• A BS or MS degree in Computer Science, Computer Engineering, or a similar field, or equivalent experience.

• 8+ years of experience in product management, solutions architecture, or partner engineering at a technology company.

• Proven experience working with enterprise software vendors (ISVs) and/or major hardware OEMs in a product or technical partnership capacity.

• Deep understanding of enterprise hardware development, validation, and certification cycles.

• Outstanding ability to define software architectures and translate their value into differentiated, full-stack accelerated hardware and software solutions for partners.

• Strong communication, relationship management, and interpersonal skills, with a talent for navigating large partner organizations.

Ways to Stand Out from the Crowd:

• Direct experience architecting solutions with enterprise AI software platforms.

• Pre-existing relationships within the product management or engineering teams at strategic ISVs or key server OEMs.

• Experience with major enterprise software certification programs for platforms like Kubernetes, virtualization, or data analytics.

• Proven understanding of the enterprise data center, including server architecture, networking, storage, and cloud-native application design.