VP, Customer Engineering & Value Engineering

Armada • United States (Remote), CA

6d • $326,000 - $407,000

About The Position

Armada is seeking a visionary VP of Customer Engineering & Value Engineering (Global) to lead a world-class, globally distributed organization 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, commercial execution, and large-scale industrial deployment. This leader will own and scale both the Customer Engineering (CE) and Value Engineering (VE) functions globally, ensuring tight integration between technical discovery, solution architecture, and business value articulation across the entire pre-sales lifecycle. As Armada accelerates adoption of its AI-powered edge platform—spanning ruggedized modular data centers, GPU-accelerated inference, and real-time edge AI—this role will define how we engage with customers worldwide. From initial technical discovery through validated, deployment-ready architectures and quantified business outcomes, you will drive a consistent and high-impact motion across North America, EMEA, APAC, and emerging markets. The combined CE + VE organization 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 technical and business requirements, framing AI infrastructure trade-offs, validating feasibility and ROI, and ensuring full qualification prior to deep engineering engagement. You will build a best-in-class global pre-sales engine where Customer Engineering drives technical discovery and architecture, Value Engineering quantifies ROI, operational impact, and strategic value, and together they accelerate revenue while enforcing discipline, consistency, and scale.

Requirements

• Bachelor’s degree in a relevant technical field
• 7+ years leading Customer Engineering, Solutions Architecture, or Value Engineering teams globally
• 7–10+ years in pre-sales, AI infrastructure, data center, or distributed systems
• Deep expertise in GPU infrastructure (NVIDIA ecosystem)
• Deep expertise in AI frameworks (TensorRT, ONNX, etc.)
• Deep expertise in Datacenter and edge architecture
• Experience with Kubernetes, virtualization, cloud (IaaS/PaaS)
• Proven ability to influence C-level stakeholders globally
• Willingness to travel internationally, including remote/field environments

Nice To Haves

• Experience in energy, defense, telecom, utilities, or industrial sectors
• Exposure to modular/mobile data centers
• Experience with Edge AI optimization
• Experience with OT/IT convergence
• Experience with Satellite/LEO connectivity (Starlink, VSAT)
• Global experience across EMEA, APAC, or Middle East
• Relevant certifications (AI/ML, cloud, datacenter)

Responsibilities

• Build & Scale a Global Customer Engineering & Value Engineering Organization
• Lead, coach, and develop a globally distributed team across North America, EMEA, APAC, and emerging markets
• Own global hiring strategy across Customer Engineering and Value Engineering, building presence in new regions and scaling existing teams
• Establish operating rhythms, onboarding frameworks, and standards for technical and commercial excellence worldwide
• Create career pathways that develop Customer Engineers into AI infrastructure architects and Value Engineers into strategic advisors
• Build a culture of continuous learning across AI, edge computing, and industrial deployments at scale
• Drive AI-Focused Technical Discovery & Value-Based Solutioning
• Champion a rigorous AI-first discovery methodology, integrating both technical and value-based frameworks
• Guide teams to uncover AI workload requirements, business drivers and ROI levers, data sovereignty and regulatory constraints, and connectivity realities across global environments
• Ensure translation of complex environments into validated edge architectures (Galleon, Atlas, GPU stack) and clear economic value propositions and business cases
• Define standards for AI inference, real-time analytics, and ML pipelines, and value quantification, ROI modeling, and executive-level narratives
• Elevate Global Pre-Sales Excellence (Technical + Value)
• Set the global bar for architecture quality, discovery rigor, value articulation, and proof-of-value frameworks
• Standardize technical and commercial qualification frameworks ensuring opportunities are technically feasible, economically justified, and strategically aligned
• Implement global review cadences combining architecture validation (CE) and business case validation (VE)
• Drive consistency across regions while maintaining local adaptability
• Partner Cross-Functionally to Accelerate Global Revenue
• Collaborate with Sales, Product, Engineering, and Deployment teams globally
• Align technical architectures with business outcomes, including ROI, operational efficiency, and AI-driven transformation
• Partner closely with verticals including energy, defense, telecom, and industrials
• Feed global insights into product roadmap, hardware evolution, and platform strategy
• Build Scalable Methodologies & Playbooks
• Develop globally consistent AI edge reference architectures, ROI frameworks and value playbooks, and proof-of-value methodologies
• Create repeatable patterns across GPU deployments, hybrid edge-cloud architectures, and satellite-connected environments
• Enable regional teams with localized regulatory and deployment considerations and partner ecosystem integration
• Balance global consistency with regional agility

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive