Cua is building the infrastructure that lets general AI agents safely and scalably use computers and apps the same way humans do. With 8.9k+ GitHub stars in just 4 months and backing from Y Combinator, they provide:
- 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 agent systems should look likeābacked by research
As a Founding Solutions Engineer, you'll be the bridge between cutting-edge infrastructure and developers. Key responsibilities include:
- Day-1 Impact: Become the primary technical contact for early adopters, guiding agent workloads from proof-of-concept to production
- Customer Integrations & Success: Design integration plans, architecture reviews, and best-practice playbooks
- Developer Experience & Advocacy: Author documentation, host workshops, and engage with the community
- Product Feedback Loop: Synthesize user feedback and contribute to core development
The ideal candidate should:
- Have strong infrastructure knowledge with ability to explain complex concepts
- Experience with backend systems and pair-programming
- Excel at technical presentations and demonstrations
- Prioritize reliability, isolation, and safety
Requirements:
- BS in CS (or equivalent) with 2+ years backend/infrastructure experience
- 1+ year in customer-facing technical roles
- Experience with Docker/K8s, cloud services, and security
- Strong communication skills
Benefits include joining a YC-backed founding team, hybrid work environment in Madrid, and the opportunity to shape the future of AI agent infrastructure used by thousands of developers.