Senior Product Designer - Knowledge Graph
Cognite · Oslo, Norway · 14h ago
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
We´re looking for a Senior AI native designer for our Cognite Oslo team that will improve, invent, prototype, and scale next-generation product experiences for Cognite Data Fusion (CDF), within the Knowledge Graph area.
As a Senior Product Designer, you will shape how industrial data is modeled, stored, governed and made actionable through AI-empowered workflows. You’ll move from insight → concept → working experience with speed and clarity, partnering closely with product, engineering, strategy, and customers to design intelligent systems that sit at the core of CDF.
You are hands-on, systems-oriented, and fluent in AI. You understand how agents, tools, and data pipelines work together. You design trustworthy, human-in-the-loop experiences that operate reliably under real-world constraints and deliver measurable business impact.
The Impact you bring to Cognite
Product Design Excellence
- Design AI-empowered industrial experiences that span data storage, modelling and data governance of industrial data.
- Prototype with real data and real models by testing on real world industrial use cases with your users and product counterparts; validate flows under realistic latency, streaming, reliability, and cost constraints.
- Design for probabilistic systems operating on imperfect data: handle schema ambiguity, partial ingestion failures, conflicting signals, and uncertainty.
- Define patterns for human-in-the-loop supervision across data mapping, anomaly detection, enrichment, and agent-driven automation.
- Express ideas at multiple fidelities: from system diagrams and agent/tool contracts to interactive prototypes, micro-workflows, and production-ready UI.
- Partner with product strategists and business designers to evaluate desirability, feasibility, and viability; shape experience KPIs tied to adoption, data quality, reliability, and operational efficiency.
- Tell compelling stories through narratives, visuals, and prototypes that make complex data systems understandable and shippable.
- Lead design sessions and facilitate cross-functional workshops to align around architecture, workflows, and long-term product vision.
Design Execution & Ownership
- Own outcomes end-to-end from discovery through shipped experience, including research plans, flows, information architecture, interaction patterns, and system-level design decisions.
- Operationalize AI in the UX: define agent and tool contracts, escalation paths, monitoring hooks, logging requirements, and feedback loops to continuously improve system quality and cost efficiency.
- Collaborate tightly with engineering to scope increments, de-risk technically complex integrations early, and land high-craft solutions within platform constraints.
- Establish scalable design patterns for data-heavy workflows and evolve the design system thoughtfully as new integration use cases emerge.
- Drive clarity in ambiguous, cross-functional environments and make well-reasoned design decisions that balance user value, reliability, performance, and cost.
- Continuously validate solutions through user research, usability testing, and experiment design; make evidence-based tradeoffs across usability, automation, and operational risk.
Contribute to best practices for AI-native product design and help shape how Data Integrations evolve over time.
- 5+ years of product design experience, with demonstrated ownership of complex, data-heavy or AI-powered systems.
- Strong understanding of AI-native workflows, including prompt design, tool/agent orchestration, RAG patterns, and model/runtime constraints such as latency and token/cost budgets.
- Experience designing products that operate on structured and unstructured data, including ingestion, transformation, schema mapping, or data pipeline workflows.
- Hands-on prototyping experience using real data sources, APIs, SDKs, lightweight code, or no/low-code tools to validate feasibility and user experience.
- Demonstrated ability to design for probabilistic and imperfect systems, including error states, uncertainty handling, trust patterns, and human-in-the-loop supervision.
- Strong user research skills: ability to plan and run studies, synthesize qualitative and quantitative insights, and translate findings into actionable product direction.
- Excellent communication, facilitation, and stakeholder management skills; able to collaborate effectively with engineering-heavy teams and present complex ideas clearly to executives and customers.
- Proven ability to work in ambiguous, fast-paced environments with a bias for action and structured decision-making.
- A portfolio showcasing end-to-end ownership, systems thinking, and thoughtful design of complex workflows.
A snapshot of our many perks and benefits as a Cogniter
- 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.