Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

The UI Team’s mission is fourfold, 1) enable feature development within the ProdEng pods where capacity/expertise is lacking relative to feature requirements, 2) update the Domino UI to enhance look and feel across the entire UI through the definition and implementation of design components, 3) maintain the frameworks in the Domino UI (e.g. upgrade React to the latest version), 4) set best UI development practices, improve test coverage, increase FE development efficiency, and enhance FE quality.

What your impact will be

In your first year, you will

• Shape the future of Domino’s frontend by developing React-based components and pages that enhance both usability and maintainability
• Extend and refine Domino’s design system to deliver a consistent, modern, and accessible user experience across the platform
• Power the next generation of AI capabilities by building UI for the evolving Model Registry, transforming it into a full AI Inventory with features like model discovery, customizable model cards, and governance metadata for LLMs and other AI systems
• Collaborate cross-functionally with product, design, and backend teams to create user-friendly interfaces that simplify complex GenAI and governance workflows
• Champion frontend best practices by participating in code reviews and driving improvements in development efficiency, performance, and quality
• Gain deep product expertise to quickly diagnose and resolve UI issues while contributing to larger architectural initiatives over time

What we look for in this role

• Deep expertise in modern front-end technologies: ideally React + Redux, TypeScript, and JavaScript. Experience with Angular or Vue will also be considered.Hands-on experience with modern build tools and practices such as Vite, Node.js, NPM/Yarn, and Webpack
• Proven track record of shipping high-quality, scalable web applications or reusable UI components
• Strong debugging and troubleshooting skills across JavaScript, CSS, and UI layers, with a focus on building fast, high-performance user experiences
• Proficiency in modern JavaScript testing frameworks like Jest or similar tools

Bonus Points For:

• Familiarity with Scala or other JVM-based languages (Java, Kotlin, etc.)
• Knowledge of Kubernetes operators and Helm charts
• Experience working with data science workflows or MLOps platforms

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote