Job Description

Technical Product Manager, Nvidia AI Solutions at Dell summary:

The Technical Product Manager for Nvidia AI Solutions leads the strategy, roadmap, and product requirements for AI software ecosystems integrated on Dell’s AI infrastructure. This role involves managing the entire product lifecycle, ensuring performance optimization and compatibility of AI/ML workloads across various platforms and orchestrations, and collaborating with engineering, architecture, and ecosystem partners. The position also supports go-to-market alignment and customer engagement to deliver validated, cutting-edge Nvidia-based AI solutions.

Technical Product Manager, Nvidia AI Solutions

Product Development Management is a fast-paced environment where innovative thinking is prized. Our team focuses on the delivery of products or computer-based systems for external customers. We lead and deliver the entire lifecycle from product definition and planning through to production and release. We also oversee modifications, upgrades and maintenance of the product or product line. And to make the whole process run smoothly and seamlessly, we’re experts in project management, from initiation through to delivery, and liaise with other departments on technical matters.

Join us to do the best work of your career and make a profound social impact as a Technical Product Manager, Nvidia AI Solutions on our Product Management team in Hopkinton, Massachusetts .

What you’ll achieve

In this position as a Technical Product Manager , you will lead the strategy, roadmap, and product requirements for the Nvidia based AI Solutions within our AI Solutions portfolio. This role is critical to ensure Dell’s AI Platforms are fully integrated with a robust stack of runtimes, middleware frameworks , and optimized workloads that drive customer outcomes. You will own the lifecycle of software stack components layered on Dell’s AI infrastructure, including integration and performance of AI/ML workloads across various OS environments, container and orchestration layers, and AI runtimes. You will help define and prioritize the end-to-end workload experience and partner with engineering, architecture, and ecosystem teams to deliver validated, differentiated AI solutions. You will drive the field enablement and GTM alignment from Product Management to Sales for Nvidia NVAIE based solutions.

You will:

· Define and drive the product strategy and roadmap for the software ecosystem supporting Dell’s AI Platforms—including OS support (e.g., RHEL, Ubuntu), containers/orchestration, AI runtimes (e.g., CUDA, PyTorch, TensorFlow), AI integrations, AI operations software, and middleware stacks tied to Nvidia NVAIE

· Gather and synthesize customer requirements, industry trends, and ecosystem partner input to define supported workloads and platform requirements

· Work closely with internal stakeholders (engineering, solutions, validation) to ensure workload and middleware integration , compatibility, and performance optimization

· Track and document validated Nvidia NVAIE configurations supported on Dell infrastructure, contributing to solution guides and customer-facing assets

· Partner with software ecosystem providers (open source and commercial) to ensure Dell AI Platforms remain certified, optimized, and competitive for modern workloads. Support product launches, internal enablement, and customer engagements as the product expert for AI software ecosystem capabilities.

Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements

• 12+ years in product management, technical marketing, or engineering roles focused on AI infrastructure, software platforms, or cloud-native technologies.
• Strong understanding of AI/ML software stacks , including OS layers, containerization, orchestration, runtime libraries, and ML frameworks.
• Experience managing backlogs using Agile tools like Jira Align , with a clear ability to define epics, features, and requirements tied to business value.
• Demonstrated ability to work across cross-functional teams and drive software integration and validation across complex systems .
• Excellent communication skills, both written and verbal, with the ability to convey technical detail to diverse audiences.

Desirable Requirements

• Bachelor’s degree in Computer Science, Engineering, or related technical field; Master’s degree preferred.
• Experience with Dell AI Platforms or similar AI infrastructure stacks (e.g., NVIDIA DGX, OpenShift AI, GKE, AWS SageMaker).
• Familiarity with software ecosystem partnerships , open source contribution models, and AI workload performance tuning; Understanding of industry use cases for AI , including GenAI, computer vision, NLP, and data engineering workloads.

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $178,500 - $231,000.

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Job ID: R274841

Keywords:

Technical Product Manager, AI solutions, Nvidia AI, Product lifecycle management, AI/ML workloads, Software integration, Container orchestration, Middleware frameworks, AI infrastructure, Product roadmap

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