Role Description
We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.
This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.
You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.
We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.
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.