Senior Field Engineer (Pre-Sales/Forward Deployed Engineer)

Cognite • Houston, TX

5d

About The Position

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. This role involves partnering with Account Executives, acting as the technical lead for complex engagements, and moving clients from high-level strategy to live, functioning versions of Cognite’s solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®. The role also includes leading the design and implementation of first-of-their-kind industrial agents, leveraging the Atlas AI workbench to automate complex industrial workflows. Additionally, the Senior Field Engineer will lead use case workshops and briefings, translating requirements into deliverable use cases, and building executive confidence through client-focused demos and reference architectures. A key aspect is acting as the bridge between the field and Cognite’s Product organization, translating field feedback into actionable product requirements and best practices.

Requirements

• Hands on experience in the Industrial Vertical such as Oil & Gas, Manufacturing or Pharmaceuticals is required.
• 3+ years in forward deployed engineering/pre-sales engineering, or technical software development, ideally in enterprise SaaS, cloud platforms, or industrial software companies.
• Hands on keyboard problem solving.
• Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
• A strong foundation in Python and a deep understanding of the GenAI landscape (embeddings, RAG, and prompt chaining).
• Excellent problem-solving, analytical, and communication skills.
• Ability and interest to travel up to 50% as needed to be "on the ground" where the impact happens.

Nice To Haves

• Education or experience in the industrial space (e.g., Petroleum, Chemical, Mechanical, or Control System Engineering).
• Previous customer facing or sales experience.
• You’ve worked with "messy" real-world variables from the Industries we work in (Energy, Oil and Gas, Chemicals, Life Sciences, Discrete) and understand, for example, why data quality in a refinery is harder than data quality in a web app.
• You are excited to bridge the gap between traditional heavy industry and the future of Autonomous Operations via Cognite Data Fusion® and Agentic AI.

Responsibilities

• Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements.
• Move clients from high-level strategy to live, functioning versions of Cognite’s solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®.
• Lead the design and implementation of first-of-their-kind industrial agents.
• Leverage the Atlas AI workbench to automate complex industrial workflows, ensuring solutions are technically feasible, scalable, and grounded in the contextualized data foundation of our Industrial Knowledge Graph.
• Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases.
• Build executive confidence by delivering client-focused demos and reference architectures that prove the ROI of Industrial AI.
• Act as the critical bridge between the field and Cognite’s Product organization.
• Translate "field friction" and deployment learnings into actionable product requirements and scalable best practices that strengthen Cognite’s position as the leader in Industrial DataOps.

Benefits

• Competitive compensation
• 401(k) with employer matching
• Competitive health, dental, vision & disability coverages for employees and all dependents
• Unlimited PTO
• Paid Parental Leave Program
• Employee Referral Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed