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What you'd work on - 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 autonom