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Cognite

Industrial data platform with AI

Principal Pre-Sales Solutions Consultant - Principal Field Engineer

Pre-Sales Solution EngineeringUpdated on Nov 14
Full-timeAbu Dhabi - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

  • Extensive experience (7+ years) in solution architecture, field engineering, or technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
  • Experience in Python.
  • Expertise in industrial data, operational technology/information technology convergence, and data integration patterns, with the ability to design scalable architectures connecting operational and enterprise systems.
  • Knowledge of services and architectures provided by hyperscalers such as Azure, AWS, and GCP.
  • Understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance, particularly in cloud and hybrid environments.
  • Ability to lead technical validations and solution accelerators that demonstrate the value of complex integrated solutions.
  • Experience working with product and engineering teams and providing field feedback to shape product development and align solutions with customer and partner needs.
  • Education or experience in the energy sector, such as petroleum engineering, chemical engineering, mechanical engineering, or control systems engineering.

Responsibilities

  • Act as a technical liaison to key clients, establish trusted relationships, and align on solutions, integration architectures, and technical roadmaps.
  • Move clients from high-level strategy to functioning solutions through fast AI prototyping using Cognite Atlas AI and Cognite Data Fusion.
  • Lead the design and implementation of industrial agents and AI-driven applications using the Atlas AI workbench and Cognite Flows to automate industrial workflows.
  • Develop scalable, repeatable solutions adapted to client requirements in collaboration with internal technical teams.
  • Educate clients on Cognite Data Fusion and related offerings to support adoption, integration, and value realization.
  • Develop client-focused demos, reference architectures, and solution accelerators for Cognite teams and customers.
  • Represent Cognite in client meetings, workshops, and technical briefings.
  • Translate client feedback and needs into actionable product requirements, and ensure integrated solutions are feasible, scalable, and aligned with product strategy.
  • Provide client feedback and market insights to inform product development and competitive positioning.
  • Partner with field engineering and sales teams on client opportunities, technical account strategy, solution architecture, and use-case development.
  • Serve as a technical escalation point for complex client engagements and guide the broader sales organization.
  • Organize and manage client workshops and technical meetings.
  • Develop and promote best practices, frameworks, and reference architectures for client-focused industrial solutions.
  • Mentor other Field Engineers and share technical expertise, best practices, and client-interaction learnings to improve team effectiveness.

Desired Qualifications

  • Strong client-facing skills and experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
  • Strong communication, presentation, and influencing skills, including the ability to translate technical concepts into business value for executive, partner, and technical audiences.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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