Product Manager, AI Partner Solutions and OEM Ecosystem
About the role
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 seamless integration of accelerated computing, networking, and a rich ecosystem of enterprise software. NVIDIA partners with the world's leading software and hardware companies to deliver best-in-class AI platforms. We are seeking a highly technical and strategic product manager to lead our solution architecture and engagement with ISV and OEM partners, defining the technical blueprint for differentiated partner solutions and guiding the long-term roadmap.
Responsibilities
- 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.
Requirements
- 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.
Skills
- 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.
Pay
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits.