Senior Field Engineer

Cognite Cognite · Industrial · Seoul, South Korea · Global Revenue

Senior Field Engineer for an industrial digitalization company that builds AI and data solutions. The role involves acting as a technical liaison to clients, developing solutions, educating clients, representing the company, and bridging client feedback to the product organization. It requires expertise in industrial data, OT/IT convergence, data integration, and client-facing skills, with experience in Python and cloud platforms.

What you'd actually do

  1. Act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps.
  2. Collaborate closely with Account Executives and Sales teams to identify and prioritize client opportunities that drive mutual business value.
  3. Develop scalable, repeatable solutions adapted to specific client requirements in collaboration with internal technical teams.
  4. Educate clients on Cognite Data Fusion® and related offerings to support successful adoption, solution integration, and value realization.
  5. Represent Cognite in client meetings, workshops, and technical briefings, demonstrating technical expertise and building client confidence.

Skills

Required

  • Solution architecture
  • Field engineering
  • Technical presales
  • Enterprise SaaS
  • Cloud platforms
  • Industrial software
  • Python
  • Industrial data
  • OT/IT convergence
  • Data integration patterns
  • Scalable architectures
  • Cloud services (Azure, AWS, GCP)
  • Client-facing skills
  • Data platforms
  • APIs
  • Data pipelines
  • Data storage
  • Data security
  • Data governance
  • Cloud environments
  • Hybrid environments
  • Technical validations
  • Solution accelerators
  • Product development feedback
  • Communication skills
  • Presentation skills
  • Influencing skills

Nice to have

  • Education or experience in the energy space (petroleum engineering, chemical engineering, mechanical engineering, control system engineering)

What the JD emphasized

  • industrial digitalization
  • AI agents
  • low-code AI agents
  • AI and data meet ingenuity