Senior Product Manager, Enterprise Technology

Reposted 3 Days Ago
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Santa Clara, CA
In-Office
208K-380K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Drive the development and management of enterprise technology solutions to enhance employee experience and business productivity, focusing on product vision and execution.
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. Join the Enterprise product team in NVIDIA IT to drive the development and management of innovative solutions to improve employee experience, business productivity and to drive IT operational efficiencies. As a product manager, you will drive the vision, roadmaps, product deployments, and the associated business outcomes. If you can envision the future of enterprise products, join us, and make an impact!

What you will be doing:

  • Collaborate with internal partners to understand and prioritize product requirements. Translate the needs into clear and actionable product specifications, user stories, and acceptance criteria.

  • Solve complex, technical problems with creative solutions while managing tradeoffs.

  • Conduct user research, analyze problems and present actionable insights to senior leadership.

  • Conduct compelling, data-based arguments to convince others and generate progress with important results.

  • Bring user-centric perspectives to discussions about product, establish and articulate design strategy and end-to-end product experience.

What we need to see:

  • Bachelor’s degree or equivalent experience. Preferably graduate degree in Computer Science, MBA or other related product management fields.

  • 12+ years of experience in Technical Product Management, shipping either customer facing or employee facing products by working with engineers, designers, and data scientists resulting in significant business impact.

  • Demonstrated hands-on product management expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.

  • Outstanding communication skills, and excellent problem-solving skills.

Ways to stand out from the crowd:

  • Experience building and scaling infrastructure products in enterprise environments is a big plus

  • Former engineering background and hands on prototyping & product design mock-up skills.

  • Be able to thrive and succeed in a fast paced environment, and not be hindered by ambiguity or multiple priorities.

  • Demonstrated outstanding organization skills, attention to detail in writing product specifications, and excellent writing skills to publish case studies, and papers.

  • Hands-on expertise and understanding of NVIDIA software strategy & products, familiarity of working with LLMs, Retrieval Augmented Generation (RAGs), open-source frameworks such as Lang Chain, Langflow, Langsmith etc.

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, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 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
Deep Learning
Generative Ai
Lang Chain
Langflow
Langsmith
Machine Learning
Nvidia Software Strategy
Statistical Machine 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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