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.
We’re building the future of AI and need someone to help us build it quickly. As a Senior Technical Project Manager at NVIDIA, you will lead complex AI programs from concept to production. You will work with researchers, engineers, and product leaders to ship what matters.
What you'll be doing:
Drive end-to-end delivery of AI-powered products and research programs — from kickoff through release.
Evaluate AI use cases and prototypes for Marketing, delivering sharp, grounded feedback rooted in product sense.
Partner with engineering and research teams to define scope, surface risks early, and remove blockers fast.
Partner with marketing operations teams to scope and ship AI-powered workflows across CRM platforms (Marketo, SFMC, AJO) — from intake through activation.
Manage cross-functional dependencies between campaign, engineering, and data teams — keeping AI-powered marketing programs on track through fast-paced launch cycles.
Automate workflows proactively to increase team efficiency.
Communicate program status clearly to senior collaborators.
Identify dependencies across teams and keep cross-functional delivery on track.
What we need to see:
7+ years of experience in technical project management, ideally shipping AI or ML products.
Bachelor's degree or equivalent experience.
Familiarity with marketing technology stacks — CRM, CDP, and campaign platforms — with the ability to bridge engineering and marketing teams.
Hands-on Scrum and Agile delivery experience, including leading sprints end-to-end.
Deep proficiency with AI products, including a clear understanding of the difference between a demo and a production-ready feature.
A curious, committed outlook demonstrated through hands-on experimentation with generative AI.
Strong technical proficiency — enough to earn engineer trust and ask the right questions.
Experience managing delivery testing, QA, and release processes in fast-paced environments as well as experience navigating global data privacy requirements (PIPL, GDPR, opt-in compliance) in digital marketing contexts.
Strong written and verbal communication skills, with a track record of influencing without formal authority.
On-site availability and a genuine bias for in-person collaboration.
Ways to stand out from the crowd:
Proven experience developing AI workflows adopted by real marketing teams — beyond just prototypes that exist in slide decks.
PMP, PSM I, or equivalent project management certification.
Familiarity with MLOps workflows, model deployment pipelines, or AI infrastructure.
Experience with tools like Jira, Confluence, Linear, or similar.
Background in software engineering, data science, or a related technical field.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.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 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.Skills Required
- 7+ years of experience in technical project management, ideally shipping AI or ML products
- Bachelor's degree or equivalent experience
- Hands-on Scrum and Agile delivery experience
- Strong technical proficiency to earn engineer trust
- Experience managing delivery testing, QA, and release processes
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.”
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