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NVIDIA

Designs the chips and software that power AI

Agentic AI Platform Senior Account Manager

Account ManagementConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A BS or MS in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience.
  • 12+ years in software go-to-market, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or an AI platform role.
  • Strong understanding of leading open and open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, and Mistral.
  • Hands-on understanding of large language models, agentic AI, open-weight models, inference, fine-tuning, retrieval-augmented generation, evaluation, guardrails, model routing, and enterprise deployment patterns.
  • Experience with regulated enterprise, public sector, defense, financial services, 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 judgment to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes.

Responsibilities

  • Execute the EMEA Agentic AI Platform go-to-market 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 across 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, intellectual property, data and 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 teams where packaging, support, documentation, security, or legal clarity affects adoption.

Desired Qualifications

  • 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 go-to-market programs that created production adoption, customer references, or partner-led revenue.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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