Cognite

Industrial data platform with AI

Senior Field Engineer - Pre-Sales/Forward Deployed

Implementation & Technical Account ManagementUpdated on Nov 14

Full-timeNo salary listed

About the Job

Requirements

At least 3 years of experience in forward-deployed engineering or pre-sales engineering roles, ideally in enterprise SaaS, cloud platforms, or industrial software companies.
A strong engineering background; preferred fields include Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
A strong foundation in Python and a deep understanding of generative AI, including embeddings, retrieval-augmented generation, and prompt chaining.
Ability to travel up to 50% as needed.
Education or experience in the industrial space, such as Petroleum, Chemical, Mechanical, or Control System Engineering.
Previous customer-facing or sales experience.
Experience working with real-world industrial variables in sectors such as Energy, Oil and Gas, Chemicals, Life Sciences, or Discrete industries, and understanding of data-quality challenges in industrial settings.

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 Cognite solutions through fast AI prototyping using Cognite Atlas AI and Cognite Data Fusion.
Lead the design and implementation of industrial agents, using the Atlas AI workbench to automate complex workflows and ensure solutions are technically feasible, scalable, and grounded in the Industrial Knowledge Graph.
Lead use-case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases.
Deliver client-focused demonstrations and reference architectures that establish the return on investment of Industrial AI.
Act as a bridge between the field and Cognite’s Product organization by translating field friction and deployment learnings into product requirements and scalable best practices.
Design scalable architectures that unify siloed IT, OT, and ET data using Cognite Data Fusion.
Build end-to-end prototypes integrating generative AI components, Cognite Data Fusion data models, and legacy customer systems using scalable software practices and open-source AI frameworks.
Translate complex technical AI solutions into value-driven narratives for engineering audiences and C-level executives.

Desired Qualifications

Previous customer-facing or sales experience.
Education or experience in the industrial space, such as Petroleum, Chemical, Mechanical, or Control System Engineering.
Experience with real-world industrial variables in Energy, Oil and Gas, Chemicals, Life Sciences, or Discrete industries, including understanding industrial data-quality challenges.

What Cognite is Relentless to Achieve

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. Our Moonshot is bold: unlock $100B in customer value by 2035, and redefine how global industry works.

How you’ll demonstrate Ownership

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.

The Impact you bring to Cognite

Industrial Architecture Expertise: Ability to design scalable architectures that unify siloed IT/OT/ET data into a single source of truth using Cognite Data Fusion®.
Agentic AI Proficiency: Demonstrated experience building with LLMs (Gemini, Claude, GPT-4) and a deep understanding of the Agentic AI landscape to create trusted, mission-critical industrial agents via Cognite Atlas AI™.
Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes—integrating GenAI components, CDF data models, and legacy customer systems—using scalable software practices and open-source AI frameworks.
Technical Evangelism & Strategic Influence: The ability to distill complex technical AI solutions into compelling, value-driven narratives. You can pivot seamlessly between deep architectural sessions with engineers and strategy briefings with C-level executives.

Required Qualifications

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.

Preferred Experience

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.

A snapshot of our many perks and benefits as a Cogniter

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

Why Cognite

You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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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