Director, AI Capacity Partnerships

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $202 000 - $253 000 / an

⏰ Temps Plein

🔴 Expert

💰 Responsable de comptes

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Armada, pas via un site d'emploi

Repérée par Remote Rocketship il y a 4 mois

Toujours ouverte sur le site de Armada. Vérifiée il y a 7 heures.

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Armada

51 - 200 employés

🏭 Fabrication

📦 Logistique

💼 Conseil

💰 €47 300 000 Series A en 2023-12

Manufacturing • Logistics • Consulting

Armada est une entreprise axée sur l'amélioration de la connectivité et la gestion des données dans les environnements éloignés grâce à des solutions technologiques avancées. Avec des produits tels que Connect, Edge et OpsAI, Armada permet une connectivité fluide, une infrastructure de données robuste et des applications d'IA concrètes pour relever des défis critiques dans des secteurs tels que le pétrole et le gaz, le secteur public, la fabrication, l'exploitation minière, la logistique et les télécommunications. L'entreprise s'appuie sur des partenariats et des technologies telles que SpaceX/Starlink pour apporter des solutions numériques dans plus de 40 pays. La mission d'Armada est de combler le fossé numérique en offrant des solutions innovantes de connectivité et de calcul adaptées aux environnements les plus exigeants.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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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