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.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels.
- 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.
- 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.
- 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.
Dropbox isn’t just a workplace—it’s a living lab for designing a more enlightened way of working. We’re a global community of bold visionaries and resourceful doers shaping the future of Dropbox and, in turn, the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools, including AI, to improve how work gets done. Here, you can be who you are and grow into who you’re meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you’re ready to push boundaries and challenge yourself, Dropbox is ready for you.
The Dropbox Engineering Team develops the technology, platforms, and products that create more enlightened ways of working for hundreds of millions of people. Customers rely on Dropbox to manage, share, and collaborate on content seamlessly—our engineering makes that easier and more intuitive than ever before.Our platform features a robust systems software layer that stores and processes exabytes of data, and a suite of growing services that enhance core products like our sharing and sync engine. We’re also driving innovation with new offerings such as Dash, our AI-powered knowledge management engine. Our infrastructure spans high-performance servers and cutting-edge components across multiple data centers worldwide, ensuring reliability, speed, and scalability at a global scale. We think like a startup but build for an enterprise, exploring new possibilities that transform how people work. If you're excited about turning complex technical challenges into intuitive solutions at scale, join our Engineering team.
Dropbox’s Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional, in-person connection. We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.
This role requires travel to offsites and various other team gatherings (approximately 5-10% of the year or 2-3 days per quarter). We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.
AI fluency is a core part of how we work and grow. It’s not about being an expert—it’s about using these tools thoughtfully and effectively to improve your work and support others.
We look for four key behaviors in candidates:
- Ownership: You use AI responsibly by protecting data, applying sound judgment, and taking accountability for the quality and accuracy of your work.
- Experimentation: You explore new AI capabilities and apply them to improve workflows within approved tools and practices.
- Leverage: You use AI to enhance thinking, improve efficiency, and increase your impact and your team’s.
- Learning: You stay current on emerging AI tools and trends, continuously build your skills, and share what you learn with others.
Together, these behaviors help build a workforce where technology amplifies human judgment, creativity, and impact.
Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.
