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.
NVIDIA IT's Enterprise AI Products team is seeking a Senior Product Manager to lead the next generation of AI-powered employee productivity — purpose-built for a workforce that needs to stay productive anywhere, on any device, through intelligent AI agents. You will own the vision, strategy, and delivery of AI-first productivity surfaces for web and mobile that empower NVIDIA employees to access information and get work done delegating work to agents while at desk or on the move.
What you’ll be doing:
Envision and articulate the next-generation enterprise employee experience powered by AI agents translating a bold vision into an executable, phased product roadmap for web and mobile productivity surfaces.
Lead the design and delivery of mobile and web productivity applications that enable employees to be productive while they are on their desk or on the move.
Drive user studies, product evaluations, and usability sessions with employees, feeding insights back to platform and model teams.
Partner with HR, Finance, Legal, Engineering, Sales Operations, and other internal business teams to capture requirements and craft generative AI–infused solutions tailored to real employee needs.
Define and measure key metrics focused on adoption, engagement, and productivity to focus the cross-functional team on right outcomes.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
12+ years in Technical Product Management, Engineering, or related fields with a proven record of shipping customer-facing or employee-facing products with measurable business impact.
Demonstrated, hands-on product expertise involving agentic AI, traditional deep learning, or statistical machine learning.
Outstanding communication skills, and excellent problem-solving skills.
Ways to stand out from the crowd:
Prior experience shipping consumer applications - you think natively about mobile UX, know how to reduce friction to zero, and hold the product to a consumer-grade quality bar in an enterprise context.
Hands-on experience designing, productizing, or deploying agentic workflows in production.
Engineering background paired with the ability to sketch UI/UX mockups or build proof-of-concept applications or agentic workflows yourself.
Demonstrated outstanding organization skills, attention to detail in writing product specifications, and excellent writing skills to publish case studies, and papers.
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!
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.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
- 12+ years in Technical Product Management, Engineering, or related fields
- Demonstrated product expertise in agentic AI, deep learning, or statistical machine learning
- Outstanding communication skills
- Excellent problem-solving skills
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.
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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.
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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.
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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
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.”
