
51 - 200 employees
đ Manufacturing
đŚ Logistics
đź Consulting
đ° $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.
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51 - 200 employees
đ Manufacturing
đŚ Logistics
đź Consulting
đ° $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.
⢠Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service ⢠Own on-site and in-country deployments across Saudi Arabia and the broader ME region ⢠Own infrastructure bring-up, platform configuration, and production readiness validation ⢠Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers ⢠Serve as the primary technical point of contact for assigned customers post go-live ⢠Own technical success plans, adoption milestones, and operational maturity roadmaps ⢠Build long-term relationships with customer engineering, IT, OT, and security teams ⢠Lead technical governance, roadmap planning, and platform optimization discussions ⢠Build and drive Joint Success Plans aligned with customer objectives ⢠Reduce time-to-try and time-to-value by unblocking workloads and accelerating production use cases ⢠Drive adoption across workloads, business units, and countries ⢠Identify expansion opportunities involving Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS ⢠Keep customer environments stable, secure, and production-ready ⢠Identify scaling risks, architectural gaps, and technical debt ⢠Coordinate with Product, Engineering, and Support to resolve issues ⢠Operate within Saudi and regional sovereign data and security requirements ⢠Support security validation, audits, and governance processes ⢠Maintain access control, documentation, and operational hygiene ⢠Act as a senior technical presence for ND8 customers ⢠Mentor junior FDEs, TAMs, and delivery engineers ⢠Contribute to deployment standards, runbooks, and repeatable best practices ⢠Partner with Customer Success & Delivery leadership on priorities and escalations ⢠Work with Sales on expansion planning ⢠Provide customer-usage feedback to Product and Engineering
⢠8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles ⢠Proven ability to own hands-on delivery and long-term customer technical relationships ⢠Deep expertise in Linux, networking, Kubernetes, storage, and GPU-accelerated compute ⢠Strong troubleshooting skills in live production environments ⢠Experience working directly with customers in regulated, high-stakes settings ⢠Willingness to travel across Saudi Arabia and the broader ME region ⢠Clear, confident communication suitable for executive and engineering audiences ⢠Preferred: experience with edge compute, modular data centers, or distributed infrastructure ⢠Preferred: familiarity with AI workloads, GPU clusters, and high-performance computing ⢠Preferred: exposure to sovereign or national-scale customer environments ⢠Preferred: experience operating in UAE, Saudi Arabia, or across ME
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