At a Glance
- Tasks: Enhance user experience through design-led experimentation and AI-driven personalisation.
- Company: Leading crypto company with a focus on innovation and user-centric design.
- Benefits: Fully remote role with competitive salary and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the exciting world of crypto.
- Qualifications: Over 5 years of UX/UI design experience and a passion for experimentation.
- Other info: Open to diverse professionals from around the globe.
The predicted salary is between 36000 - 60000 £ per year.
A leading crypto company is seeking a Senior Designer for Data Experimentation & AI to enhance user experience. The role involves driving measurable improvements through design-led experimentation, designing customer-facing experiences, and applying AI to raise personalization and usability.
Ideal candidates will have over 5 years of experience and strong UX/UI skills. This is a fully remote position open to professionals from diverse backgrounds worldwide.
Senior Designer - Data, Experimentation & AI (Remote) employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Designer - Data, Experimentation & AI (Remote)
✨Tip Number 1
Network like a pro! Reach out to fellow designers and industry professionals on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and discover hidden job opportunities.
✨Tip Number 2
Show off your portfolio! Make sure it’s up-to-date and highlights your best work, especially projects that involve data, experimentation, and AI. A strong portfolio can speak volumes about your skills and creativity.
✨Tip Number 3
Prepare for interviews by practising common design questions and scenarios. Think about how you can demonstrate your UX/UI skills and your approach to design-led experimentation. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Designer - Data, Experimentation & AI (Remote)
Some tips for your application 🫡
Showcase Your Design Skills: Make sure to highlight your UX/UI experience in your application. Include a portfolio that showcases your best work, especially projects related to data and experimentation, as this will really catch our eye!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills align with the role. Mention specific experiences that demonstrate your ability to drive measurable improvements through design.
Be Authentic: We love seeing the real you! Don’t be afraid to let your personality shine through in your application. Share your passion for design and how you approach problem-solving, especially in the context of AI and user experience.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at Kraken
✨Know Your Design Principles
Brush up on your UX/UI design principles before the interview. Be ready to discuss how you've applied these in past projects, especially in relation to data-driven design and experimentation.
✨Showcase Your Portfolio
Prepare a strong portfolio that highlights your best work, particularly any projects involving AI or data experimentation. Be ready to explain your design choices and the impact they had on user experience.
✨Understand the Company’s Vision
Research the crypto company thoroughly. Understand their products, target audience, and how they leverage AI in their services. This will help you tailor your responses and show genuine interest in their mission.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Think of examples where you've driven measurable improvements through design-led experimentation and be ready to discuss the outcomes.