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Cypress Labs

AI-native platform modeling real-time business operations

Design Engineer

Product DesignConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Significant product design experience at organizations where craft and execution tempo are taken seriously; candidates with a broad range of experience levels may be considered based on the quality of their work and evidence of a high learning rate.
  • A portfolio demonstrating clear thinking about the underlying problem, not only visual presentation.
  • Fluency shipping in a modern frontend stack, with willingness to learn new technologies as needed.
  • Systems thinking: reasoning about state, sequence, and context, not only layout.
  • Genuine interest in how artificial intelligence changes interface design.
  • Ability to identify the right problem, propose a direction, and build it.

Responsibilities

  • Own the full surface area of how owners interact with the system, including interaction grammar, visual language, and implementation code.
  • Define the visual language and interaction patterns for an AI-native product from the ground up.
  • Design and build owner-facing views that make complex business operations legible and actionable.
  • Create the information design layer between the intelligence engine and the owners it serves.
  • Ship production code in a modern frontend stack.
  • Establish the quality bar for the user experience.
  • Rapidly execute and iterate on visual design to the level the products demand.

About the Company

Cypress Labs

AI-native platform modeling real-time business operations

Cypress Labs builds an AI-native platform that helps business owners understand and manage complex operations by turning real-world signals—like bookkeeping, scheduling, purchasing, sales, and staffing—into a living, mathematical model of the business. The model updates automatically as events happen and can be explored through conversational AI, so owners can ask questions, give corrections, and collaborate with AI agents to decide what to do next. It differs from typical tools by offering a dynamic, model-based view rather than static dashboards, creating a shared living map that learns from owner input and business data to fit shops, cafés, and restaurants. Its goal is to broaden who can own and grow small businesses by making their inner workings clear, actionable, and easier to manage, scale, and forecast.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2026

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