At a Glance
- Tasks: Lead the EMEA go-to-market strategy for NVIDIA's cutting-edge Agentic AI Platform.
- Company: Join NVIDIA, a leader in AI and computing innovation with a diverse and supportive culture.
- Benefits: Enjoy competitive salaries, comprehensive benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving the future of AI across various sectors.
- Why this job: Make a real impact in AI technology and work with the best talent in the industry.
- Qualifications: 12+ years in software GTM, strong understanding of AI/ML, and excellent communication skills.
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.
This role owns the EMEA go-to-market motion for NVIDIA's Agentic AI Platform, helping customers and partners adopt, deploy, secure, and scale agentic AI on NVIDIA. The role works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software into practical adoption motions for priority workloads.
What you'll be doing:
- Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment.
- Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path.
- Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks so field teams and partners can confidently position agentic AI workloads.
- Work through AI-native, enterprise, ISV, cloud provider, OEM, GSI, developer relations, solution architecture, product, legal, security, and field teams to identify priority workloads and unblock adoption.
- Act as the EMEA point person for open and sovereign model field guidance, including licensing, EU AI Act/GPAI, IP/data/security, model provenance, deployment, support, and export considerations.
- Refine reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments.
- Partner with cybersecurity and infrastructure ecosystem partners where they help secure agentic AI deployments and make AI Factory adoption easier for regulated customers.
- Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption.
What we need to see:
- BS/MS in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience.
- 12+ years in software GTM, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or AI platform roles.
- Strong understanding of leading open/open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others.
- Hands-on understanding of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment patterns.
- Experience with regulated enterprise, public sector, defense, FSI, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are major adoption factors.
- Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations.
- Ability to translate complex model, licensing, legal, security, and deployment topics into practical field guidance and commercially useful sales plays.
- Strong executive communication skills and comfort leading multi-stakeholder work across customer, partner, field, product, legal, security, and engineering teams.
- Commercial judgement to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes.
Ways to stand out from the crowd:
- Experience with Nemotron, DeepSeek, Qwen, Mistral, MiniMax, GLM, Kimi, NeMo, NIM, NVIDIA Agent Toolkit, Dynamo, TensorRT-LLM, Triton, vLLM, SGLang, Hugging Face, or similar ecosystems.
- Experience turning agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demos, and executive content.
- Familiarity with EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning.
- Track record launching cross-functional GTM programs that created production adoption, customer references, or partner-led revenue.
If you're ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now!
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/
Agentic AI Platform Senior Account Manager UK&I employer: Nvidia
NVIDIA is an exceptional employer, renowned for its commitment to innovation and a supportive work culture that empowers employees to excel. With a focus on cutting-edge technology and AI, the company offers extensive growth opportunities, competitive salaries, and a comprehensive benefits package, making it an ideal place for professionals looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Platform Senior Account Manager UK&I
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nvidia.
✨Tap into Online Developer Communities
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We think you need these skills to ace Agentic AI Platform Senior Account Manager UK&I
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nvidia.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nvidia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nvidia
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nvidia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
