Senior Customer Engineer, Edge Latam

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

The 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 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.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation.

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
  • design, integrate, and scale compute, storage, and networking systems within modular environments
  • 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
  • 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)
  • awareness of real-world AI deployment considerations
  • Basic experience

What the JD emphasized

  • high-ownership
  • self-starting mindset
  • willingness to fill gaps
  • solve problems
  • support the team
  • Thrive in ambiguity
  • step up without waiting for direction
  • contribute beyond your role
  • drive shared success
  • 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
  • design, integrate, and scale compute, storage, and networking systems within modular environments
  • 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
  • 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)
  • awareness of real-world AI deployment considerations
  • Basic experience