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Director, AI Capacity Partnerships, North America

4 hours, 6 minutes ago
United States
Full-time
Executive
Business Development
Artificial Intelligence and Machine Learning
Apply Now
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
View All Jobs 30

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.
  • Translate buyer requirements into actionable commercial opportunities based on GPU type, cluster size, geography, timing, power profile, tenancy model, and commercial structure.
  • 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.
  • 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.
  • Work across legal, finance, product, infrastructure, and executive stakeholders to move deals from interest to commitment.

Requirements

  • Senior commercial experience in AI infrastructure, compute demand, or business development.
  • Existing, callable senior relationships 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.
  • A 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 structures.
  • Ability to originate opportunities without a fully built playbook and follow through independently.
  • 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 without a large corporate machine around you.
  • Understanding of GPU supply and demand dynamics, the NVIDIA ecosystem, AI workload infrastructure requirements, and the difference between speculative pipeline and real committed demand.
  • Background in neo-clouds, GPU cloud providers, NVIDIA ecosystem partners or programs, AI infrastructure startups, data center platforms with AI or HPC exposure, cloud infrastructure business development or strategic partnerships, AI platform companies, HPC/GPU infrastructure providers, systems integrators or OEMs, or infrastructure investing and operations.

Benefits

  • On-target earnings salary range of $202,000 to $253,000 USD for U.S.-based candidates.
  • Equity package.
  • Subsidized medical, dental, and vision coverage.
  • Health savings accounts, flexible spending accounts, and dependent care FSAs.
  • Retirement plan options, including 401(k) and Roth 401(k).
  • Unlimited paid time off.
  • 14 paid company holidays per year.

Interested in this position?

Apply directly on the company website

Apply Now

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