Product Manager, AI Partner Solutions and OEM Ecosystem
NVIDIA · US, CA, Santa Clara ·
- Category
- Product
- Experience
- 8+ years
To realize the promise of enterprise AI, companies need a reliable, full-stack, and performant platform to build upon. On-premise AI Factory solutions require a seamless integration of accelerated computing, networking, and a rich ecosystem of enterprise software. These solutions are only possible through deep partnership with the ISVs who write the software that runs the world's enterprises and the hardware OEMs who build the systems.
NVIDIA is at the forefront of powering this transformation. We partner with the world's leading software and hardware companies to deliver best-in-class AI platforms. To accelerate this mission, we are seeking a highly technical and strategic product manager to lead our solution architecture and engagement with ISV and OEM partners. We need a visionary who can define the technical blueprint for differentiated partner solutions and guide the long-term roadmap. We're looking for the rare blend of deep architectural expertise and strategic product skills. If this sounds like you, we would love to learn more about you!
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and a self-starter, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.