Senior Field Engineer (Pre-Sales/Forward Deployed)

vibehackers; United States; On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

401(k) with employer matching

Health, dental, vision & disability

Unlimited PTO

Paid parental leave

Employee referral program

Job summary

vibehackers is seeking a Senior Field Engineer (Pre-Sales/Forward Deployed) to lead technical engagements and rapid prototyping of industrial AI solutions using Cognite Atlas AI and Cognite Data Fusion. You will translate customer needs into scalable architectures and work with sales and product teams to demonstrate ROI.

You will lead use-case workshops, deliver technical demos, and help design agentic industrial solutions, traveling up to 50% to engage on-site with customers and executives.

Qualifications

• 3+ years in forward-deployed engineering or pre-sales engineering roles, preferably in enterprise SaaS or industrial software.
• Strong engineering background (CS/Math/Physics) and experience with AI/LLMs.
• Solid foundation in Python and hands-on prototyping of AI solutions.
• Experience presenting to executives and translating customer needs into scalable architectures.

Responsibilities

• Serve as technical lead with Account Executives to drive opportunities and deliver client-focused demos.
• Prototype AI solutions using Cognite Atlas AI and Cognite Data Fusion to validate use cases.
• Design and implement agentic industrial solutions and automate workflows via Atlas AI workbench and related tech.
• Lead workshops to translate requirements into high-level designs and roadmaps.
• Bridge field learnings to product teams and help define best practices.

Skills

Pre-Sales Engineering

Enterprise SaaS

Python

GenAI

LLM design

Technical leadership

Communication

Tools

Cognite Atlas AI

Cognite Data Fusion

Industrial Knowledge Graph

Gemini / Claude / GPT-4

Job description

Fast prototyping with AI tools and building agentic AI solutions using LLMs and Cognite Atlas AI; heavy GenAI/agent focus.

About the Role

Senior Field Engineer (Pre-Sales/Forward Deployed) responsible for driving technical pre-sales engagements and building end-to-end industrial AI prototypes and agentic solutions using Cognite Atlas AI and Cognite Data Fusion, translating customer needs into scalable architectures and product improvements while partnering with sales and product teams.

Role

Senior Field Engineer (Pre-Sales / Forward Deployed) serving as the technical lead in customer engagements to move high-level strategy into live, functioning Cognite solutions. Focus on fast AI prototyping, designing and implementing industrial agents, and demonstrating technical ROI to customers and executives.

Key Responsibilities

• Serve as technical lead alongside Account Executives to prioritize strategic opportunities and deliver client-focused demos and reference architectures.
• Rapidly prototype AI solutions using Cognite Atlas AI and Cognite Data Fusion to validate use cases and proof-of-value.
• Design and implement agentic industrial solutions and automate complex industrial workflows via the Atlas AI workbench and Industrial Knowledge Graph.
• Lead use-case workshops and translate functional/non-functional requirements into deliverable high-level designs.
• Bridge field deployment learnings to product teams; translate field friction into product requirements and best practices.
• Influence technical strategy with customers across engineering and executive stakeholders.
• Travel up to 50% to work on-site with customers as needed.

Requirements

• 3+ years in forward-deployed engineering or pre-sales engineering roles, preferably within enterprise SaaS, cloud platforms, or industrial software.
• Strong engineering background (e.g., Computer Science, Software Engineering, Mathematics, Physics, Machine Learning).
• Solid foundation in Python.
• Deep understanding of the GenAI landscape, including embeddings, RAG, and prompt chaining.
• Experience building with LLMs (examples cited: Gemini, Claude, GPT-4) and designing agentic AI solutions.
• Excellent problem-solving, analytical, and communication skills.
• Willingness and ability to travel up to 50%.

Preferred Experience

• Domain experience in industrial sectors (Petroleum, Chemical, Mechanical, Control Systems, Energy, Oil & Gas, Chemicals, Life Sciences, Discrete).
• Prior customer-facing or sales experience.Experience working with messy, real-world industrial data and integrating legacy systems.
• Competitive compensation
• 401(k) with employer matching
• Health, dental, vision & disability coverage for employees and dependents
• Unlimited PTO
• Paid parental leave
• Employee referral program

Cognite Atlas AI Atlas AI workbench Cognite Data Fusion Industrial Knowledge Graph Python Gemini Claude GPT-4 embeddings RAG prompt chaining GenAI CDF data models open-source AI frameworks

Skills

Client Engagement Solution Engineering Technical Leadership System / Architecture Design Workshop Facilitation Technical Evangelism Problem Solving Analytical Skills Communication Pre-sales / Consultative Selling