Key Responsibilities: 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
Key Responsibilities: 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
Required Qualifications
- 5+ 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.
Top Skills
What We Do
                                    Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
                                
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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