Senior Customer Engineer, Edge Apac

Armada Armada · Enterprise · Singapore · Remote · S&M - Pre Sale

Customer Engineer role focused on pre-sales and technical demonstrations of Armada's edge AI infrastructure solutions. Requires understanding of data center systems, networking, and a conceptual grasp of AI/ML infrastructure. The role involves collaborating with sales, providing technical guidance, and acting as a trusted advisor to clients.

What you'd actually do

  1. 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.
  2. Provide expert technical guidance to customers and sales peers regarding Armada’s products and services. Understand client challenges and propose appropriate solutions to meet their needs.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • Bachelor's degree in computer science, Engineering, or related field
  • 5+ years proven experience in pre-sales, sales/customer engineering, or solution architecture role supporting technical products
  • Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G)
  • 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
  • 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
  • strong expertise in modular and micro data center architectures
  • solid systems integration experience
  • exposure to hybrid and distributed computing platforms (e.g., Azure Stack Edge)
  • familiarity with virtualization and containerization technologies such as VMware, Docker, and Kubernetes
  • translating customer requirements into reliable, scalable, and production-ready infrastructure solutions

Nice to have

  • advanced degree is a plus
  • High-level understanding of AI and Edge AI solution design
  • defining inputs (e.g., cameras, sensors)
  • basic data quality considerations
  • estimating compute requirements
  • Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX)
  • awareness of real-world AI deployment considerations
  • Basic experience or familiarity with connected device ecosystems, remote asset deployments, and telemetry integration

What the JD emphasized

  • 5+ years proven experience in pre-sales, sales/customer engineering, or solution architecture role supporting technical products.
  • Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems
  • strong expertise in modular and micro data center architectures
  • High-level understanding of AI and Edge AI solution design