Director, AI Capacity Partnerships, Europe

2 months ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Armada

Armada

Armada is a full-stack edge infrastructure company that specializes in edge computing and AI solutions tailored for remote and rugged environments. Through its Armada Edge Platform (AEP), the company provides compute, storage, connectivity, and AI/ML capabilities. Armada operates in over 100 countries, addressing operational challenges with thousands of connected assets and active users. The company focuses on simplifying data management and AI deployment in disconnected settings, making it easier for industries to leverage technology. Armada's product lineup includes Atlas, a tool for monitoring IoT devices; Galleon, ruggedized modular data centers for AI inference; Bridge, a platform for managing GPUs; and a Marketplace for hardware and software for remote operations. Armada serves various sectors, including oil and gas, public sector, manufacturing, mining, logistics, and telecommunications, enhancing safety, productivity, and automation in challenging environments.

information technology & services
201-500
Founded 2022
$226M raised

Description

  • Identify and engage organizations that need rapid access to GPU capacity for training, inference, fine-tuning, enterprise AI, or sovereign AI workloads.
  • Build a qualified pipeline of offtake, anchor tenant, reserved capacity, and strategic compute demand opportunities.
  • Connect Armada’s AI factory and Leviathan deployments with credible compute users and potential offtakers.
  • Shape demand strategy for new deployments before, during, and after they go live.
  • Translate market conversations into concrete next steps for commercial, infrastructure, finance, and legal teams.
  • Map customer requirements to specific sites, GPU configurations, power availability, deployment timelines, cooling constraints, and commercial structures.
  • Validate whether demand opportunities are real, specific, and commercially viable.
  • Build and maintain direct relationships with senior decision-makers at key compute consumers.
  • Help design offtake agreements, capacity reservations, anchor tenancy models, revenue-share structures, and strategic partnership frameworks.
  • Feed market intelligence into site selection, capacity planning, deployment roadmap, and go-to-market decisions.

Requirements

  • Deep network across the AI compute ecosystem, including neo-clouds, GPU clouds, AI-native companies, NVIDIA ecosystem partners, data center operators, infrastructure investors, or enterprise AI buyers.
  • Track record of commercializing GPU capacity, cloud infrastructure, data centers, managed compute, AI platforms, or high-performance infrastructure.
  • Experience structuring and closing complex infrastructure deals such as offtake agreements, capacity reservations, anchor tenancy, or revenue-share arrangements.
  • Ability to originate opportunities without a fully built playbook and follow through with discipline.
  • Technical fluency to discuss GPUs, clusters, power density, liquid cooling, networking, latency, workload requirements, and deployment constraints credibly.
  • Strong pipeline discipline, including clear account notes, sharp qualification, and reliable follow-through.
  • Executive presence and the ability to operate independently without a large corporate machine.
  • Understanding of GPU supply and demand dynamics, the NVIDIA ecosystem, AI training and inference infrastructure requirements, and buyer decision factors.
  • Regional fluency across the UK, EU, Nordics, Southern Europe, and Middle East-adjacent markets, including data residency, local power constraints, and public procurement.
  • Backgrounds in neo-clouds, GPU cloud providers, AI infrastructure startups, data center platforms with AI or HPC exposure, cloud infrastructure BD, AI platform companies, HPC providers, systems integrators, OEMs, or infrastructure investing/operations are valued.

Interested in this position?

Apply directly on the company website

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