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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable industrial AI solutions using Cognite Data Fusion® and Atlas AI, with a strong foundation in Python and GenAI technologies. Proven ability to translate complex requirements into actionable use cases while delivering client-focused solutions and fostering collaboration between technical and non-technical teams.
Highest-signal resume keywords
Cognite Data Fusion®Python ProgrammingGenAI TechnologiesIndustrial AI SolutionsPre-Sales Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Fast AI PrototypingIndustrial Knowledge GraphUse Case DevelopmentData IntegrationArchitectural Design
Soft Skills
Problem-SolvingAnalytical SkillsCommunication Skills
Tools & Technologies
Cognite Atlas AI™Agentic AICloud PlatformsEnterprise SaaS
Industry Keywords
Industrial SoftwareCustomer Facing ExperienceReal-World Industrial DataField Teams Collaboration
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 Cognite solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®
- Lead the design and implementation of industrial agents using the Atlas AI workbench
- Automate complex industrial workflows with scalable, technically feasible solutions grounded in the Industrial Knowledge Graph
- Lead use case workshops and briefings
- Translate functional and non-functional requirements into deliverable high-level use cases
- Deliver client-focused demos and reference architectures demonstrating Industrial AI ROI
- Translate field friction and deployment learnings into product requirements and scalable best practices
- Design scalable architectures unifying siloed IT/OT/ET data using Cognite Data Fusion®
- Build end-to-end prototypes integrating GenAI components, CDF data models, and legacy customer systems
- Act as a bridge between field teams and Cognite’s Product organization
Requirements
What you’ll need- 3+ years in forward deployed engineering/pre-sales engineering roles, ideally in enterprise SaaS, cloud platforms, or industrial software companies
- Strong engineering background
- 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
- Education or experience in the industrial space is preferred
- Previous customer facing or sales experience is preferred
- Experience with real-world industrial data variables is preferred
- Experience with Cognite Data Fusion® and Agentic AI is preferred
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
