EMEA Agentic AI Platform GTM Lead

NVIDIA

United Kingdom

On-site

GBP 120,000 - 180,000

Full time

3 days ago
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Job summary

NVIDIA in the United Kingdom is seeking a senior leader to own the EMEA go-to-market motion for the Agentic AI Platform, translating open and sovereign models into practical adoption for enterprise, public sector, and partner ecosystems.

You will collaborate across engineering, legal, security, sales, and partners to refine playbooks, architectures, and licensing guidance, driving secure deployment and revenue growth.

Qualifications

  • 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 role
  • 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.

Responsibilities

  • 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.

Skills

GTM strategy
Developer relations
Technical partnerships
Product management
Solution architecture
Cybersecurity
AI platform experience
Open models
LLMs
Enterprise deployment

Education

BS/MS in Computer Science or related field

Tools

Kubernetes
Linux

Job description

NVIDIA in the United Kingdom is seeking a senior leader to own the EMEA go-to-market motion for the Agentic AI Platform, translating open and sovereign models into practical adoption for enterprise, public sector, and partner ecosystems.

You will collaborate across engineering, legal, security, sales, and partners to refine playbooks, architectures, and licensing guidance, driving secure deployment and revenue growth.

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