Original listing text, shown exactly as published by the company.
Responsibilities
- Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
- Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
- Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
- Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
- Prototype and productionize new concepts that explore the future of design systems.
- Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
- Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
- Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
- Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
- Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
- Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
- Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
- Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
- Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
- Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.
Preferred Qualifications
- Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
- Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
- Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
- Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
- Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.
