Senior Product Manager - Enterprise Networking Services

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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

Enterprise customers demand high quality and differentiated service options, and timely service response to meet their business demands. Our team is responsible for the Enterprise Service portfolio of service products, service tools, enablement training, service renewals and metrics globally to support our worldwide Enterprise Customers! We are also responsible to identify and own the networking service pipeline, which includes services that are currently being planned or crafted. You will lead a significant portion of this networking services portfolio, driving it as a business including publishing status, metrics and service transition planning. Additionally, we deliver competitive analysis supporting the service catalog, which reflects existing services available to end users and/or partners, as well as retired services, which are formerly available services which have been taken out of active deployment.

What you'll be doing:

  • Develop service products by identifying potential service offerings, generating requirements and specifications, inclusive of services pricing as well as driving service benchmarking

  • Define Service New Product Introduction processes, strategy, service requirements and policy development for Data Center Networking industry

  • Evaluate customer ecosystem, analyze the technology and business resources and identify data center networking specific services requirements

  • You will be responsible for networking service adoption, renewal rate increase, end user happiness and net promoter score improvement will be how you will measure your success in this role

What we need to see:

  • Masters or equivalent experience in business and/or technical field

  • 8+ years of previous experience in networking and services product management related field

  • Results driven, capable of working in both a strategic and tactical environment, with ability to influence at all levels of the service business

  • Interactive, engaged both internally and externally across sales, service and operations teams, and with global partner community

  • Detailed understanding of Service Structures, Service Operations, pricing, positioning and various routes to market

  • Deep understanding of channel strategy, management and development of service partners, including all aspects of delivery, operations and process design excellence

  • Extensive experience in design and delivering appropriate systems and enablement requirements in support of service initiatives

  • Excellent communications and presentation skills, highly analytical and detail oriented

  • Significant experience in multifaceted field organization

Ways to stand out from the crowd:

  • Prior experience and demonstrated leadership in services industry and understand their ecosystems and key players

  • Prior experiences in enterprise services, especially in networking solutions space

  • Ability to be actively engaged, work in areas that may be outside the standard job description to accomplish the job.

  • Good understanding of AI productivity tools usage in Enterprise Product Management and Marketing functions

  • Good track record in leading multi-functional teams, driving and delivering business crucial service initiatives

NVIDIA is widely considered to be one of the 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 autonomous, we want to hear from you!

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.

Applications for this job will be accepted at least until February 12, 2026.

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.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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