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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. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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, or technical software development, 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.


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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.
Learn More About Us
Impact 2025 Cognite's Industrial AI: Moonshot We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
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.
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