Note: The job is a remote job and is open to candidates in USA. Cognite operates in industrial digitalization, building AI and data solutions to improve industrial operations. The Senior Field Engineer will partner with Account Executives as a technical lead, develop agentic AI and industrial data solutions, lead customer workshops and demonstrations, and translate field learnings into product improvements.
Responsibilities
- **Client Engagement & Moving Strategy to Reality:** Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements. You will 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®**
- **Agentic Solution Development:** Lead the design and implementation of first-of-their-kind industrial agents. You will 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**
- **Technical Representation & Use Case Design:** Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases. You will build executive confidence by delivering client-focused demos and reference architectures that prove the ROI of Industrial AI
- **Product Innovation & Field Leadership:** 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**
Skills
- 3+ years in forward deployed engineering/pre-sales engineering roles ideally in enterprise SaaS, cloud platforms, or industrial software companies
- 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
- 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
Benefits
- 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
Company Overview
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