Lead, coach, and develop a globally distributed team of Customer Engineers at the forefront of AI infrastructure and edge computing
Job Summary
Lead, coach, and develop a globally distributed team of Customer Engineers at the forefront of AI infrastructure and edge computing.
Shape how Armada engages with customers globally, from initial technical discovery through validated, deployment-ready architectures.
Collaborate tightly with regional Sales leaders, Product, Engineering, and Global Deployment teams to align on AI infrastructure positioning and customer roadmaps.
Matching Summary
Lead, coach, and develop a globally distributed team of Customer Engineers at the forefront of AI infrastructure and edge computing.
Skills & Requirements
Must-have
Global Customer Engineering leadership
AI infrastructure and edge computing
GPU-accelerated inference
Technical discovery and solution architecture
Pre-sales technical lifecycle ownership
Cross-functional collaboration
Nice-to-have
Building transformative solutions
Bridging the digital divide
Culture of continuous learning
AI observability and model lifecycle management
Key Requirements
Proven ability to build and scale Customer Engineering teams across multiple geographies
Deep expertise in GPU-accelerated compute, AI inference pipelines, LLM deployment
Strong architectural fluency across edge computing, modular data centers, distributed systems