Senior Product Marketing Manager

Reposted 11 Days Ago
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Santa Clara, CA
In-Office
124K-230K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Product Marketing Manager develops go-to-market strategies, manages content, coordinates events, and strengthens partnerships for NVIDIA's AI technologies, especially for cloud service providers.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team as a Senior Product Marketing Manager enthusiastic about AI and deep learning. Be part of innovating AI technologies, supporting cloud service providers.

What You’ll Be Doing:

  • Develop go-to-market plans and content such as web pages, blogs, news, social media, and presentations to help CSPs promote NVIDIA technologies on their cloud platforms

  • Build customer success stories about end-users and ISVs using NVIDIA technologies on cloud platforms

  • Coordinate and manage events to showcase NVIDIA technologies and partnerships

  • Integrate software solutions with marketing strategies

  • Review partner marketing materials for value proposition and overall messaging alignment

  • Develop messaging and strategies to support partner and campaign marketing teams

  • Travel to trade shows, conferences, or technical sales training as needed

What We Need To See:

  • Undergraduate degree or equivalent experience in computer science, computer engineering, or relevant technical field

  • Experience developing content and speaking publicly to different audiences, with solid storytelling abilities. Please provide samples of public-facing content (blogs, decks, ebooks, etc.)

  • Demonstrated conceptual understanding of the NVIDIA AI platform and its value proposition

  • 5+ years of combined experience in a product marketing or technical role at a technology company

  • Passion for getting things done quickly

  • Ability to prioritize multiple projects and work independently with minimal direction

Ways To Stand Out From The Crowd:

  • Direct experience in a marketing role at a CSP

  • Strong knowledge and understanding of the cloud computing and AI markets

  • Experience working with players in the AI and deep learning ecosystem

  • MBA or Master’s degree or equivalent experience in Engineering or Computer Science from a leading university

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 152,000 USD - 230,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

Top Skills

AI
Cloud Computing
Deep Learning
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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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