Cua is building the infrastructure that lets general AI agents safely and scalably use Computers and Apps like humans do.

With 9k+ GitHub stars in just 4 months and a seed round closed, we’re providing:

• An open-source framework for building and evaluating general-purpose AI agents.
• A cloud container platform for sandboxed, scalable agent execution environments.
• A blueprint for what production-grade general agent systems should look like - backed by research.

Overview

Cua is building the infrastructure that enables general-purpose AI agents to safely and scalably use real computers and applications.

We’re a small team backed by Y Combinator and top-tier investors, and our open-source tools are already used by thousands of developers. As a Founding Engineer, UX & Design, you’ll own how developers experience Cua - shaping everything from product flows and dashboards to the open-source contributions developers see every day.

We’re looking for someone who blends strong frontend engineering skills with a sharp design sense. You’ll collaborate with the founding team to turn complex infrastructure into intuitive, delightful developer experiences, defining the look, feel, and usability of our product.

Your work will define how the next generation of AI agents is built, debugged, and deployed by thousands of developers worldwide.

Responsibilities

• Own the UI/UX across the Cua platform - from developer onboarding flows to dashboards and tools for managing agent environments
• Build and maintain frontend systems (Next.js, Tailwind, shadcn/ui or similar) and work closely with backend engineers to integrate APIs
• Translate complex infrastructure into simple, usable product experiences for developers
• Collaborate with open-source contributors and early users to refine product usability and design
• Contribute to docs, guides, and visual materials that help grow the ecosystem
• Participate in product discussions, drive the user-facing roadmap, and help shape long-term product vision

Qualifications

Required:

• 2+ years of frontend or full-stack engineering experience
• Strong design sensibility and ability to craft intuitive user interfaces
• Proficiency in TypeScript/React (Next.js preferred) and modern frontend libraries (Tailwind, shadcn/ui, etc.)
• Experience turning product requirements into polished user experiences
• Comfortable designing in Figma and translating designs into production code
• Excited about open-source, developer tools, and working in a fast-moving startup environment

Preferred:

• Experience contributing to open-source projects
• Strong visual/interaction design portfolio or past work examples
• Familiarity with developer tools or infrastructure products
• Interest in AI/ML, agents, or developer-facing AI workflows
• Based in or willing to relocate to SF

What We Offer

• Early-stage ownership - Join as a founding engineer with equity and high influence
• Real traction - 9k+ GitHub stars and a fast-growing developer community
• Product ownership - Full scope over design, frontend, and UX decisions
• Impact - Define the developer experience for the next wave of AI infrastructure

How to Apply

Please include:

• Your portfolio, Dribbble, or GitHub (required)
• A short note on the most impactful UI/UX or product experience you’ve designed
• Bonus: try building something with Cua or suggest UX improvements - we notice contributors

The base salary range for this role in San Francisco is $100,000–$150,000 USD per year, depending on experience and skill level. This role also includes equity and other benefits.

Cua AI, Inc. is committed to fair and transparent compensation. We encourage applicants from all backgrounds to apply, regardless of gender, age, gender identity, sexual orientation, ethnicity, or belief.

Personal data will be handled in accordance with the GDPR (EU Regulation 2016/679) and other applicable data privacy laws.

We're looking for different roles to help us push this vision forward - turning cutting-edge research prototypes into real, deployable systems.

If you’re obsessed with developer tools, infrastructure, and making AI agents go from toy demos to robust, real-world tools - we want to talk.