2 days ago
Base Salary
$357k - $407k/yr
Responsibilities
- Lead, coach, develop, and scale globally distributed Customer Engineering and Value Engineering teams.
- Own global hiring strategy, onboarding frameworks, operating rhythms, career pathways, and standards for technical and commercial excellence.
- Guide AI-focused technical discovery covering workload requirements, business drivers, ROI levers, sovereignty, regulation, and connectivity constraints.
- Define and validate edge architectures involving Galleon, Atlas, GPU infrastructure, AI inference, real-time analytics, and ML pipelines.
- Standardize technical and commercial qualification, proof-of-value, architecture review, ROI modeling, and value-articulation frameworks.
- Collaborate with Sales, Product, Engineering, Deployment, and industry partners to align architectures with business outcomes and inform product roadmap and platform strategy.
- Develop reusable AI edge reference architectures, ROI frameworks, value playbooks, and deployment patterns for GPU, hybrid edge-cloud, and satellite-connected environments.
Requirements
- Bachelor’s degree in a relevant technical field.
- 7+ years leading Customer Engineering, Solutions Architecture, or Value Engineering teams globally.
- 7–10+ years of experience in pre-sales, AI infrastructure, data centers, or distributed systems.
- Deep expertise in GPU infrastructure, the NVIDIA ecosystem, AI frameworks such as TensorRT and ONNX, and data center and edge architecture.
- Experience with Kubernetes, virtualization, and cloud infrastructure including IaaS and PaaS.
- Ability to architect end-to-end systems across modular data centers, networking, storage, and compute.
- Strong ability to build ROI models, business cases, executive narratives, commercial positioning, and competitive differentiation.
- Proven ability to influence C-level stakeholders globally and work across international markets, enterprises, and governments.
- Willingness to travel internationally, including to remote and field environments.
- Preferred experience in energy, defense, telecom, utilities, or industrial sectors; modular or mobile data centers; edge AI optimization; OT/IT convergence; and satellite or LEO connectivity such as Starlink and VSAT.
- Relevant AI/ML, cloud, or data center certifications are preferred.
Benefits
- Subsidized medical, dental, and vision coverage.
- Health savings accounts, flexible spending accounts, and dependent care FSAs.
- Retirement plan options including 401(k) and Roth 401(k).
- Unlimited paid time off and 14 paid company holidays per year.
- Equity and subsidized benefits are offered; international travel and remote or field work may be required.
Tech Stack
Categories
Solutions Engineering
About Armada
Welcome to the new edge. Armada is the world’s first full-stack edge computing platform, revolutionizing connectivity, compute, and AI solutions where they’re needed most - anywhere on Earth.