Staff Product Designer - AI-Driven, Mobile-First, Hybrid

Staff Product Designer - AI-Driven, Mobile-First, Hybrid

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead design strategy for a new product area, focusing on mobile-first experiences.
  • Company: Checkout.com, a forward-thinking tech company in London.
  • Benefits: Hybrid work setup, competitive salary, and opportunities to shape AI-driven design.
  • Other info: Join a dynamic team with a focus on user advocacy and research-driven design.
  • Why this job: Make a real impact by shaping innovative products from the ground up.
  • Qualifications: Experience in product design and strong collaboration skills with teams.

The predicted salary is between 63000 - 77000 Β£ per year.

Checkout. com in London seeks a senior design lead to own strategy and execution for a nascent product area, shaping it from zero to one.

You will lead through craft, collaborate with Product and Engineering, and advocate for users in executive settings.

The role emphasizes mobile-first native experiences, research-driven decisions, and fluency with design systems, with a hybrid London-based setup and opportunities to influence AI-driven design workflows.

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Staff Product Designer - AI-Driven, Mobile-First, Hybrid employer: Checkout Ltd

Checkout Ltd is an exceptional employer that fosters a dynamic and inclusive work culture, where collaboration and innovation thrive. With a strong focus on employee growth, the company offers ample opportunities for professional development while embracing a hybrid working model that promotes flexibility. Located in London, employees benefit from a vibrant city atmosphere, making it an ideal place for those seeking meaningful and rewarding careers in the legal field.

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Contact Details:

Checkout Ltd Recruitment Team

We think you need these skills to ace Staff Product Designer - AI-Driven, Mobile-First, Hybrid

Product Design
Mobile-First Design
Design Strategy
User Advocacy
Collaboration with Product and Engineering
Research-Driven Decision Making
Fluency with Design Systems