The AI agent loop. Our agents observe device screens, ground actions to UI elements, execute steps, and reflect on whether they worked. It's a capture-ground-execute-reflect cycle and there are a lot of hard problems in making it reliable
Distributed workflow orchestration for test execution across pools of devices
Device infrastructure for Android and iOS. Emulators, real devices, streaming, automation
Our CLI that ties local dev to cloud verification. Build uploads, live device sessions, CI integration
OpenTelemetry integration, trace correlation, and the tooling we use to debug executions
Real-time execution UX. WebSocket streaming, live device views, graph-based test visualization
Building out product surface (CLI, web app, CI integrations)
What we're looking for
High customer empathy. You think about the user's problem when you're designing a technical solution, not just the technical elegance
You enjoy novel problems with real technical and product ambiguity
You've built and scaled systems that run in production under real load
Practical experience with LLMs, AI infra, or agent-based systems
Track record of high ownership and autonomous execution
Strong communication
Experience that would stand out
Mobile build tooling experience (Swift, Kotlin, Flutter)
Mobile testing infrastructure, device automation, or mobile platform tooling
OpenTelemetry or distributed tracing
Workflow orchestration systems
CLI or developer tooling
Probably not a fit if
You want well-scoped tickets
You're uncomfortable making architectural decisions without full information
You prefer deep specialization in one layer over working across a full stack
Why join?
Hard technical problems (AI agents, distributed systems, mobile device infrastructure) not CRUD apps
Shape technical and product direction from the ground floor
Flat hierarchy, high ownership, full autonomy
Small, talent-dense founding team in San Francisco