Senior Account Manager, Agentic AI Platform

This is a fully remote position, open to applicants in United Kingdom, +1 more country.

📋 Description

• Implement the EMEA Agentic AI Platform go-to-market strategy, focusing on 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 a unified adoption pathway.

• Enhance the sales toolkit across various domains, including technical, commercial, legal, support, and terms-and-conditions tracks.

• Collaborate with AI-native enterprises, ISVs, cloud providers, OEMs, GSIs, developer relations, solution architecture, product, legal, security, and field teams to pinpoint priority workloads and facilitate adoption.

• Serve as the primary contact in EMEA for guidance on open and sovereign model field issues, encompassing licensing, EU AI Act/GPAI, IP/data/security, model provenance, deployment, support, and export considerations.

• Improve reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments.

• Collaborate with cybersecurity and infrastructure ecosystem partners to secure agentic AI deployments and promote AI Factory adoption for regulated clients.

• Relay EMEA customer and partner needs to product and engineering teams where packaging, support, documentation, security, or legal clarity impacts adoption.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience.

• Over 12 years of experience in software go-to-market, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or AI platform roles.

• Strong comprehension of leading open/open-weight models, including Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, among others.

• Practical knowledge of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment patterns.

• Experience in regulated enterprises, public sector, defense, FSI, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are key adoption factors.

• Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations.

• Ability to translate complex topics related to models, licensing, legal, security, and deployment into practical field guidance and commercially viable sales strategies.

• Excellent executive communication skills and the ability to lead multi-stakeholder initiatives across customer, partner, field, product, legal, security, and engineering teams.

• Commercial acumen to assess opportunities, align success criteria, and connect technical adoption to revenue outcomes.

• Familiarity 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 in developing field playbooks, workshops, demos, and executive content focusing on agentic AI, open models, secure AI deployment, or regulated AI requirements.

• Knowledge of EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning.

• Proven track record in launching cross-functional go-to-market programs that resulted in production adoption, customer references, or partner-driven revenue.

🏝️ Benefits

• Highly competitive salaries

• Comprehensive benefits package