VP, Customer Engineering

About the Company Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.  With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud. Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.     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. VP, Customer Engineering & Value Engineering   About the Role   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   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   Together, they accelerate revenue while enforcing discipline, consistency, and scale     What You'll Do   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   Connectivity realities across global environments   Ensure translation of complex environments into:    Validated edge architectures  (Galleon, Atlas, GPU stack)   Clear economic value propositions and business cases   Define standards for:    AI inference, real-time analytics, and ML pipelines   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   Proof-of-value frameworks   Standardize technical and commercial qualification frameworks ensuring opportunities are:    Technically feasible   Economically justified   Strategically aligned   Implement global review cadences combining:    Architecture validation (CE)   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   AI-driven transformation   Partner closely with verticals including  energy, defense, telecom, and industrials   Feed global insights into:    Product roadmap   Hardware evolution   Platform strategy   Build Scalable Methodologies & Playbooks   Develop globally consistent:    AI edge reference architectures   ROI frameworks and value playbooks   Proof-of-value methodologies   Create repeatable patterns across:    GPU deployments   Hybrid edge-cloud architectures   Satellite-connected environments   Enable regional teams with:    Localized regulatory and deployment considerations   Partner ecosystem integration   Balance  global consistency with regional agility   Core Skills & Capabilities   Global Leadership & Team Development   Proven experience building and scaling  global CE and/or VE organizations   Strong talent builder with ability to develop  technical and commercial leaders   Ability to operate in ambiguity and bring  structure to high-growth environments   Experience working across  international markets, enterprises, and governments   AI Infrastructure & Edge Architecture   Deep expertise in:    GPU compute and AI inference   Distributed systems and edge computing   LLM and ML deployment   Strong understanding of infrastructure trade-offs:    Latency vs bandwidth   Edge vs cloud   Sovereignty vs scale     System Architecture & Engineering Design   Ability to architect end-to-end systems across:    Modular data centers   Networking, storage, compute   Fluency in:    Engineering documentation   Deployment planning   Real-world infrastructure constraints     Value Engineering & Strategic Storytelling   Strong ability to:    Build ROI models and business cases   Translate technical solutions into executive value   Influence C-level stakeholders   Expertise in  commercial positioning and competitive differentiation     Required Qualifications   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     Preferred Qualifications   Experience in  energy, defense, telecom, utilities, or industrial sectors   Exposure to  modular/mobile data centers   Experience with:    Edge AI optimization   OT/IT convergence   Satellite/LEO connectivity (Starlink, VSAT)   Global experience across EMEA, APAC, or Middle East   Relevant certifications (AI/ML, cloud, datacenter)   Compensation & Benefits For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications.  In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request). 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 Compensation $357,000 — $407,000 USD You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.