
Senior Account Manager, Agentic AI Platform
Posted Aug 25

Posted Aug 25
This is a fully remote position, open to applicants in United Kingdom.
• Implement the go-to-market strategy for the EMEA Agentic AI Platform, 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 path for adoption.
• Enhance the sales toolkit across 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 identify key workloads and facilitate adoption.
• Serve as the EMEA point of contact for open and sovereign model field guidance, covering licensing, EU AI Act/GPAI, IP/data/security, model provenance, deployment, support, and export considerations.
• Improve reference architectures and enablement strategies for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments.
• Collaborate with cybersecurity and infrastructure ecosystem partners to ensure secure agentic AI deployments and promote AI Factory adoption for regulated clients.
• Communicate EMEA customer and partner requirements to product and engineering teams when packaging, support, documentation, security, or legal clarity impacts adoption.
• 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.
• Profound understanding of prominent open/open-weight models, including Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others.
• Practical knowledge of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment practices.
• Experience in regulated enterprise, public sector, defense, financial services, healthcare, telecommunications, cloud provider, or sovereign cloud environments where governance and trust are significant factors for adoption.
• Familiarity with confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity management, encryption, secrets management, data control, and software lifecycle operations.
• Ability to convert complex topics related to models, licensing, legal, security, and deployment into actionable field guidance and commercially viable sales strategies.
• Strong executive communication abilities and comfort leading collaborative efforts across customer, partner, field, product, legal, security, and engineering teams.
• Commercial acumen to evaluate opportunities, align success metrics, and link technical adoption to revenue outcomes.
• 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.
• Proven experience in transforming agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demonstrations, and executive content.
• Knowledge of EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning.
• Established track record of launching cross-functional go-to-market programs that led to production adoption, customer testimonials, or partner-driven revenue.
• Highly competitive salaries.
• Comprehensive benefits package.
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