VP, Customer Engineering (AI & Infrastructure)
Confirmed live in the last 24 hours
Armada
Job Description
About the Company
About the Role
Armada is seeking a visionary VP of Customer Engineering to lead a world-class, globally distributed team of Customer Engineers at the forefront of AI infrastructure and edge computing. This is a pivotal leadership role for a builder and operator who thrives at the intersection of cutting-edge AI technology and large-scale industrial deployment.
As Armada accelerates adoption of its AI-powered edge platform spanning ruggedized modular data centers, GPU-accelerated inference, and real-time edge AI this leader will shape how we engage with customers globally: from initial technical discovery through validated, deployment-ready architectures. You will own the pre-sales technical lifecycle across all regions, ensuring our Customer Engineers operate with rigor, speed, and clarity in North America, EMEA, APAC, and emerging markets.
The CE function guides customers from mission-critical AI ambitions and complex operational environments to scalable, field-proven Armada solutions taking each opportunity 80% of the way by scoping requirements, framing AI infrastructure trade-offs, validating feasibility, and ensuring full qualification before moving to detailed engineering.
What You'll Do
Build & Scale a Global Customer Engineering Organization
- Lead, coach, and develop a globally distributed team of Customer Engineers spanning North America, EMEA, and emerging markets.
- Define and execute a global hiring strategy: build CE presence in new regions, establish operating rhythms, onboard early hires, and set standards for technical excellence worldwide.
- Create talent development pathways that grow CEs into senior AI infrastructure architects and future leaders.
- Build a culture of continuous learning around AI infrastructure, edge computing, and real-world deployment at scale.
Drive AI-Focused Technical Discovery & Solution Architecture
- Champion a rigorous, AI-first discovery methodology guiding CEs to uncover customer mission goals, AI workload requirements, data sovereignty constraints, and connectivity realities across diverse global environments.
- Ensure the team consistently translates complex, distributed AI environments into validated edge architectures built around Armada's Galleon modular data centers, Atlas platform, and GPU-accelerated edge AI stack.
- Define and govern solution design standards for AI inference, real-time analytics, and edge ML pipelines in bandwidth-constrained and disconnected environments.
Elevate Global Pre-Sales Technical Quality
- Set and raise the bar on discovery outputs, AI architecture designs, technical narratives, demo environments, and proof-of-value success criteria worldwide.
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