Senior Field Engineer (Pre-Sales/Forward Deployed)
Cognite - AI for Industry15 days ago
Responsibilities
- Partner with Account Executives as the technical lead for complex strategic customer engagements.
- Design and implement industrial agents using Cognite Atlas AI and the Industrial Knowledge Graph.
- Build end-to-end prototypes integrating GenAI components, Cognite Data Fusion data models, and legacy customer systems.
- Lead use-case workshops, technical briefings, customer demos, and reference-architecture development.
- Translate field deployment learnings and customer friction into product requirements and scalable best practices.
- Travel up to 50% to support customers on site.
Requirements
- At least 3 years of experience in forward-deployed engineering or pre-sales engineering, ideally in enterprise SaaS, cloud platforms, or industrial software.
- Strong engineering background and proficiency in Python.
- Deep understanding of GenAI concepts including embeddings, retrieval-augmented generation, and prompt chaining.
- Experience building with LLMs such as Gemini, Claude, or GPT-4 and understanding of agentic AI.
- Strong problem-solving, analytical, communication, architecture, and customer-facing presentation skills.
- Education or experience in industrial fields such as petroleum, chemical, mechanical, or control systems engineering is preferred.
- Previous customer-facing or sales experience and familiarity with industrial data challenges are preferred.
Benefits
- Competitive compensation.
- 401(k) with employer matching.
- Health, dental, vision, and disability coverage for employees and dependents.
- Unlimited paid time off.
- Paid parental leave.
- Employee referral program.
Tech Stack
Categories
Forward DeployedSolutions Engineering
About Cognite - AI for Industry
Cognite builds an industrial data and AI platform used by energy, manufacturing, and power & utilities companies to integrate OT/IT data and deploy AI at scale. Its flagship product, Cognite Data Fusion, is sold as enterprise SaaS with services for implementation and Industrial AI agents. Founded in 2016 and privately held, the company focuses on asset-intensive operations and Industrial DataOps.