Principal Product Designer-Data Integrations en Cognite

About the Role.We are seeking an exceptional Principal Product Designer to lead design for the experiences created to integrate data from customers into the platform in a remarkable way. You’ll use advanced AI design & development tools and methods to move from insight → concept → working experience with high speed and clarity. You'll drive design strategy across our platform while mentoring design talent and collaborating closely with engineering, product management, and support teams.

How you will create Impact:

Design Leadership & Strategy

Define and execute a comprehensive design strategy, ensuring cohesive user experiences from data ingestion through the entire customer journey with our platform

Partner closely with product managers and engineering leads to balance technical constraints with optimal user experiences

Lead design thinking sessions and facilitate cross-functional workshops

Manage and mentor design team members, providing guidance on their careers and design skills

Product Design Excellence

Create seamless experiences for both technical users and business stakeholders

Develop sophisticated information architecture for large-scale data exploration and analysis tools

Conduct user research with data professionals to understand pain points in existing workflows

Present design concepts and rationale to executive leadership and external stakeholders

Design Execution & Ownership

Be accountable for end-to-end design within high-impact product areas, from concept to final implementation

Partner with PMs to craft systematic solutions that connect the dots between user needs, data, business goals, and business strategy

Partner with engineers to build impactful products and features within the constraints of our technology and timelines

What you will bring:

8+ years of product design experience with at least 3 years in senior or principal-level roles

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.

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