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Senior Field Engineer – Pre-Sales, Forward Deployed
CogniteSenior Field Engineer for Cognite, leading technical engagements and implementing AI solutions in industrial sectors. Driving operational improvements using advanced data solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Industrial AI solutions, leveraging Python and GenAI technologies to design and implement scalable industrial workflows. Proven ability to translate complex requirements into actionable use cases while building client confidence through effective communication and technical demonstrations.
Highest-signal resume keywords
Industrial Vertical ExperiencePython ProgrammingGenAI UnderstandingPre-Sales EngineeringProblem-Solving Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine LearningSoftware EngineeringCloud PlatformsEnterprise SaaSFast AI PrototypingCognite Atlas AICognite Data FusionAnalytical SkillsTechnical Problem Solving
Soft Skills
Communication SkillsAnalytical SkillsClient-Focused ApproachTeam CollaborationWorkshop Facilitation
Tools & Technologies
Cognite Atlas AICognite Data FusionIndustrial Knowledge GraphAI Workbench
Industry Keywords
Oil & GasManufacturingPharmaceuticalsIndustrial DataOpsForward Deployed Engineering
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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