CogniteSenior Designer, AI Native
Cognite is hiring a Senior Designer, AI Native. Level rates it ; you can apply on Cognite.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions prompt engineering, RAG and AI agents among its tools and skills.
- Level classes it as a senior role.
- Cognite has 53 other open roles on Level.
AI in this role
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 We're looking for a Senior AI native designer for our Cognite Oslo team to invent, prototype, and scale next-generation product experiences on top of Cognite Data Fusion (CDF). As a Senior Product Designer, you’ll use advanced AI tools and methods to move from insight → concept → working experience with high speed and clarity. You’ll partner closely with product, engineering, strategy, and customers to uncover unmet needs, validate hypotheses, and turn ambiguous problems into elegant, testable, data-aware solutions. You’re hands-on, experimental, and fluent in AI— converting user research to compelling prototypes, and shaping trustworthy, human-in-the-loop experiences that deliver business impact. The Impact you bring to Cognite
Product Design Excellence
- Prototype with real data and real models: connect to mock data or internal APIs; validate flows under realistic latency, streaming, and cost constraints.
- Design for probabilistic systems: author patterns for imperfect answers, disagreement handling, correction, and escalation to humans-in-the-loop.
- Express ideas at multiple fidelities: from prompt-generated concept boards to interactive agents, micro-workflows, and production-ready UI.
- Partner with business designers and product strategists to evaluate desirability, feasibility, and viability; shape experience KPIs and success metrics.
- Tell the story through compelling narratives, visuals, and prototypes that make the future feel obvious—and shippable.
- Lead design sessions and facilitate cross-functional workshops
Design Execution & Ownership
- Own outcomes end-to-end from discovery to shipped experience: research plans, flows, systems, content, and component-level detail.
- Operationalize AI in the UX: define tool/agent contracts, error states, monitoring hooks, and feedback loops to continuously improve quality and cost.
- Collaborate tightly with engineering to scope increments, derisk hard problems early, and land details with high craft.
- Continuously validate via user research, experiment design, and rapid iteration; make evidence-based tradeoffs across user value, reliability, and cost.
- 7+ years of product design experience
- Fluency with AI-native workflows: prompt design, evaluation, and chaining; agents/tools; RAG; model/runtime constraints (latency, token/cost budgets).
- Hands-on prototyping with real data (e.g., connecting prototypes to APIs/SDKs, lightweight code, or no/low-code tools) to validate feasibility and UX.
- Strong user research skills: plan and run studies, synthesize qualitative & quantitative signals into clear insights and direction.
- Portfolio demonstrating end-to-end ownership of complex, data-heavy or AI-powered experiences, including trust/safety and human-in-the-loop patterns.
- Excellent collaboration & communication: proactive stakeholder management, clear storytelling, and comfort presenting to executives and customers.
A snapshot of our many perks and benefits as a Cogniter
* Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝 * A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more * Flat structure with direct access to decision-makers * Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology * Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners. * Get access to private health services with Cognite Care. * Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) * Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. * We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site. * A pet lover? Get the chance to meet Spot at the Robot Garden! 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.
How we rate this
Senior Designer, AI Native at Cognite rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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