About the Role  

The AI Factory Customer Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Customer Engineer collaborates closely with the sales team and Product/Engineering to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace.  

Location. This role will be remote in the US 

What You'll Do (Key Responsibilities)  

• Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success. 

• Provide expert technical guidance to customers and sales peers regarding Armada’s AI Factory products and services including Modular Data Centers & GPU based systems from partners such as Nvidia.  Understand client challenges and propose appropriate solutions to meet their needs. 

• Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings.  Tailor demonstrations and execute workshops to address specific client challenges. 

• Collaborate cross-functional to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes. 

• Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers.  Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs. 

• Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation. 

• Enhance field team understanding of technical concepts, product features, and selling strategies.  Provide ongoing support and enablement of resources to empower sales representatives in their client interactions.  

Required Qualifications  

• Bachelor's degree in computer science, Engineering, or related field or equivalent demonstrable work experience; advanced engineering based degrees are a plus. 

• 5+ years proven experience in pre-sales, sales engineering, or solution architecture role supporting technical products. 

• Understanding of computing, networking and storage hardware fundamentals particularly including AI/GPU based systems such as Nvidia DGX, HGX, MGX, and similar systems. 

• Working understanding and experience with common data center supporting systems such as mechanical, electrical, plumbing, cooling and racking; experience with Modular or mobile data centers a plus. 

• Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure. 

• Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below). 

• Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies. 

• Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences. 

• Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity. 

• Self-starter who thrives in dynamic environments and effectively manages multiple priorities. 

• Must be willing and able to travel, including potential international travel, as business needs to dictate.  

Demonstrable Expertise in Technical Focus Areas  

Primary Focus (Current Business Need): Modular Data Center Systems & Rack Solutions Architecture  
We are currently prioritizing hiring profiles with strong expertise in modular and micro data center architectures. This includes the ability to design, integrate, and scale compute, storage, and networking systems within modular environments. Candidates should have solid systems integration experience, exposure to hybrid, scientific and distributed computing platforms), and familiarity with AI hardware systems. The role requires translating customer requirements into reliable, scalable, and production-ready infrastructure solutions.  

Secondary Exposure (Nice to Have): AI & Edge AI Solution Architecture  
High-level understanding of AI and Edge AI solution design, including defining inputs (e.g., cameras, sensors), basic data quality considerations, and estimating compute requirements. Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX) and awareness of real-world AI deployment considerations is beneficial but not the primary hiring focus.  

Secondary Exposure (Nice to Have): Data Center Systems & Architecture  
Advanced  experience with Data Center Support Systems such as mechanical, electrical (sub systems, PDUs, UPS Systems), plumbing (water cooling systems), cooling (Computer Room Air Conditioning CRAC, Chillers), and control systems.  

  

Preferred Qualifications  

• Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing a sales process. 

• Prior experience with Data Centers, MSPs, Telcos, Oil & Gas, or Utilities. 

• Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements