VP, Customer Engineering

Armada

VP of Customer Engineering at Armada leading global teams in cutting-edge AI infrastructure and edge computing. Role involves building and scaling global teams while driving revenue and customer engagement.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesLead💰 $357,000 - $407,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading global teams in Customer Engineering and Value Engineering, with a strong focus on AI infrastructure, GPU systems, and cloud technologies. Proven ability to develop talent and establish operational excellence in diverse markets.

Highest-signal resume keywords

Global Team LeadershipAI Infrastructure ExpertiseCustomer Engineering StrategyStakeholder InfluenceCloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Customer EngineeringValue EngineeringSolutions ArchitectureAI FrameworksGPU InfrastructureDatacenter ArchitectureEdge ComputingPre-SalesDistributed SystemsOnboarding Frameworks

Soft Skills

CoachingTeam DevelopmentC-Level InfluenceContinuous Learning CultureCross-Regional Collaboration

Tools & Technologies

KubernetesVirtualizationCloud (IaaS/PaaS)NVIDIA EcosystemTensorRTONNX

Industry Keywords

AI InfrastructureData CenterGlobal Hiring StrategyTechnical ExcellenceCommercial Excellence

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

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
Champion a rigorous AI-first discovery methodology, integrating both technical and value-based frameworks

Requirements

What you’ll need

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), AI frameworks (TensorRT, ONNX, etc.), 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

Benefits

Comp & perks

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