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Build end-to-end product features for customers to configure, monitor, and interact with AI agents. Design APIs, database schemas, backend systems, and frontend interfaces; own feature delivery, iterate with design/product, and create analytics, conversation UIs, and onboarding workflows.

Build backend systems for AI agents including data pipelines, integrations, and agent infrastructure. Ship features across the stack (Atlas, Activity Stream, dynamic knowledge, agent memory), work with senior engineers, own smaller projects end-to-end, and contribute to production systems from day one.

The role involves owning technical relationships, driving growth, managing implementations, influencing product direction, and shaping team culture in a fast-paced environment.

Lead architecture and high-stakes backend projects, write and ship production code, mentor engineers, set engineering quality standards, and drive technical strategy to scale agent infrastructure.