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 half a billion dollars in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and BlackRock, and has collaborations and partnerships including NVIDIA, Palantir and Dell Technologies. We are looking for the most brilliant minds in the world to join us.
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
$326,000—$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.