Director, AI Capacity Partnerships

🕒 June 18

🇺🇸 United States – Remote

💵 $202k - $253k / year

⏰ Full Time

🔴 Lead

💰 Account Manager

🦅 H1B Visa Sponsor

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👻 Ghost score 23%

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Logo of Armada

Armada

51 - 200 employees

🏭 Manufacturing

📦 Logistics

💼 Consulting

💰 $47.3M Series A on 2023-12

Manufacturing • Logistics • Consulting

Armada is a company focused on enhancing connectivity and data management in remote environments through advanced technology solutions. With products such as Connect, Edge, and OpsAI, Armada enables seamless connectivity, robust data infrastructure, and real-world AI applications to address critical challenges in industries like oil and gas, public sector, manufacturing, mining, logistics, and telecommunications. The company leverages partnerships and technology like SpaceX/Starlink to bring digital solutions to over 40 countries. Armada's mission is to bridge the digital divide by offering innovative connectivity and compute solutions tailored for the most challenging environments.

📋 Description

• Originate and convert AI compute demand • 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. • Understand what buyers need by GPU type, cluster size, geography, timing, power profile, tenancy model, and commercial structure - and turn that into actionable 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 a demand opportunity is real, specific, and commercially viable.

🎯 Requirements

• Existing, callable senior relationships across the AI compute ecosystem - 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: offtake agreements, capacity reservations, anchor tenancy, revenue-share, or similar. • The instincts to originate opportunities without a fully built playbook - and the discipline to follow through. • Enough technical literacy to discuss GPUs, clusters, power density, liquid cooling, networking, latency, workload requirements, and deployment constraints with credibility. • Strong pipeline discipline: clear account notes, sharp qualification, reliable follow-through. • Executive presence and the ability to operate without a large corporate machine around you.

🏖️ Benefits

• Medical, dental, and vision (subsidized cost) • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) • Retirement plan options, including 401(k) and Roth 401(k) • Unlimited paid time off (PTO) • 14 paid company holidays per year

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