Sr. Designer - Data Experimentation and AI

The Team

Senior Designer for Data Experimentation & AI, shaping how Kraken builds, evaluates, and scales products. Autonomous senior IC role focused on experimentation and continuous improvement at the intersection of data, experimentation, and machine intelligence. End-to-end ownership from prototyping to delivery.

The Opportunity

• Drive measurable improvements in key customer and business metrics (e.g. conversion, activation, retention, task success) through design-led experimentation.
• Run design experiments, partnering with data, product and engineering to define hypotheses, success metrics, and evaluation frameworks.
• Design and iterate on customer-facing experiences across Kraken's trading, onboarding, and account surfaces based on experiment results and user insight.
• Apply AI selectively and responsibly to improve personalization, decision support, and usability, with a clear focus on outcomes and user trust.
• Own design quality and experiment performance, taking accountability for learnings, trade-offs, and results.
• Influence product strategy by translating experiment insights into clear recommendations and next steps.
• Balance speed and rigor, enabling rapid experimentation while maintaining high standards of UX, accessibility, and brand consistency.
• Contribute actively to design reviews and experiment readouts, sharing insights that raise the effectiveness of design and experimentation across teams.
• Continuously identify new opportunities where experimentation and AI can unlock customer or business value.

Skills You Should HODL

• 5+ years of experience with a proven ability to design, test, and iterate customer-facing experiences across web and mobile, ensuring consistency and quality across platforms.
• Strong UX and UI fundamentals with the ability to simplify complex data, experimentation, or AI concepts into clear, usable experiences.
• Highly product-savvy, able to frame problems, prioritize opportunities, and design solutions that drive measurable customer and business impact.
• Experience designing for data-informed products, including dashboards, analytics tools, experimentation platforms, or decision-support systems.
• Confidence working in ambiguity, framing problems, and defining solutions in partnership with cross-functional teams.
• A data-informed design approach — able to balance qualitative insight, quantitative signals, business goals, and technical constraints.
• Strong communication skills, with the ability to present and defend design decisions to both technical and non-technical stakeholders.
• Expert level prototyping skills, able to use tools and techniques to quickly explore, test, and communicate ideas.
• Understanding of human-centered design principles, research methods, and ethical considerations, especially as applied to AI-driven products.