Used Tools & Technologies
Machine Learning GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 4
MLOps @ 3
Data Science @ 4
Technical Proficiency @ 7
Communication @ 7
CDP @ 3
CRM @ 4
GDPR @ 4
Jira @ 6
HTTP @ 4
Experimentation @ 4
Project Management @ 7
QA @ 4
Compliance @ 4
Agile @ 4
Generative AI @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today the company is building the future of AI and needs someone to help build it quickly. As a Senior Technical Project Manager at NVIDIA, you will lead complex AI programs from concept to production and work with researchers, engineers, and product leaders to ship what matters.
Responsibilities
- 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 grounded feedback rooted in product sense.
- Partner with engineering and research teams to define scope, surface risks early, and remove blockers.
- 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 to keep 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 and stakeholders.
- Identify dependencies across teams and keep cross-functional delivery on track.
Requirements
- 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 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 and an understanding of the difference between demos and production-ready features.
- Hands-on experimentation with generative AI.
- Strong technical proficiency sufficient to earn engineer trust and ask the right questions.
- Experience managing delivery testing, QA, and release processes in fast-paced environments.
- 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
- Proven experience developing AI workflows adopted by real marketing teams (beyond prototypes).
- 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.
Compensation and benefits
- Base salary range: 168,000 USD - 258,750 USD.
- Eligible for equity and benefits. See http://www.nvidiabenefits.com/ and https://www.nvidia.com/en-us/benefits/ for more information.
Additional information
- Applications accepted at least until May 16, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.