NVIDIA
Director Customer Success, NVIE, Physical AI & vGPU

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About Us
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.
Who makes sure NVIDIA software keeps delivering long after the deal closes? NVIDIA is building the world's leading AI company, one customer success at a time! We are bringing four EMEA motions under one leader: NVIDIA AI Enterprise and Run:ai, Customer Success, Physical AI, and vGPU.
What You'll Be Doing
- Lead our EMEA go-to-market across NVIDIA AI Enterprise, Run:ai, Mission Control, Customer Success, Physical AI, vGPU, and related NVIDIA libraries and frameworks.
- Onboarding, licence usage, support escalations, and renewals handled as carefully as the first conversation, with pipeline quality and forecasting we can all trust.
- Guide executive reviews with EMEA and global stakeholders, covering pipeline, blockers, customer results, support readiness, renewal risk, and resourcing, connecting Physical AI and vGPU coverage which connects to our priority enterprise workloads and AI Factory reference architectures.
- Set the priorities across sales toolkits, playbooks, success metrics, enablement, and product feedback together.
- Bring Customer Success together with field sales, solution architects, support, product, engineering, OEMs, cloud providers, GSIs, and partners.
- Mentor our leaders and senior individual contributors across NVIDIA AI Enterprise and Run:ai, Customer Success, Physical AI, and vGPU.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We Need to See
- Bachelor's or master's degree in Business, Computer Science, Engineering, or equivalent experience.
- 15+ overall years of sales experience in enterprise software, AI platform, cloud, customer success, alliances, GTM leadership, or technical sales, including 10+ years leading teams.
- Proven ability to lead multi-product software businesses with field, product, partner, support, and customer success dependencies.
- Deep understanding of enterprise AI software platform motions, cloud and on-prem infrastructure, software lifecycle, uptake metrics, renewal motions, and support operations.
- Strong grounding in tactile AI, virtualized GPU solutions, and virtual workstations, industrial workloads, infrastructure attach rates, and enterprise AI deployment patterns.
- Working awareness of open-model and agentic AI drivers where they build NVIDIA AI Enterprise, Run:ai, and AI Factory demand.
- Credibility with customers, partners, regional leadership, product leaders, and global stakeholders. Accountability here reaches across sales, product, support, and partners at once.
- Ability to turn platform strategy into simple field plays, measurable uptake, and commercial results.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Ways to Stand Out from the Crowd
- Entrepreneurial demeanor
- A track record leading teams whose work shows up in software revenue and renewals.
- Familiarity with Omniverse, NIM, NeMo, CUDA-X, DGX, or AI Factory architectures, and standing across EMEA enterprise customers, partners, field, and product teams.
- Real passion for mentoring senior people and sharing what you learn as you go!
NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. 60% travel, some international, may be required.
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/benefits.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location