Senior Account Manager, Agentic AI Platform

🕒 Agosto 25

🇬🇧 Reino Unido – Remoto (RU)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da NVIDIA, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Agosto 25

Ainda aberta no site da NVIDIA. Verificada 9 horas atrás.

Logo of NVIDIA

NVIDIA

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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 • Work with 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 to secure agentic AI deployments and facilitate AI Factory adoption for regulated customers • Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption

🎯 Requisitos

• 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 • 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

🏖️ Benefícios

• Highly competitive salaries • Comprehensive benefits package

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