About the Role Build developer tools that help AI agent teams evaluate and improve agents using execution traces. This product engineering role combines hands-on development with community engagement, so insights from builders can directly shape what gets shipped. What You'll Do • Build and ship features for agent evaluations, replay, cohorts, and developer experience. • Share technical work through posts, demos, and conversations on public developer channels, and bring useful feedback into product decisions. • Work across feature development, customer demos, marketing activities, and community engagement as priorities require. • Stay connected to AI agent builders and evaluation practitioners, including those using agent frameworks and custom runtimes. • Connect community feedback with product development, and communicate shipped improvements to the developer community. What We're Looking For • At least 3 years of experience building or shipping production software, including production experience building or evaluating AI agents. • Production proficiency in Python and hands-on experience with agent frameworks such as LangGraph, Claude Code, or equivalent tools. • Experience with LLM or agent evaluation systems, trace data, observability, or debugging agent execution. • Open-source contributions or developer tools with demonstrated use by other developers. • Experience shipping SDKs, APIs, CLI tools, frameworks, or libraries, with attention to documentation, ergonomics, and demos. • Experience supporting distribution or go-to-market for products you helped engineer, and communicating technical work publicly. • Comfort working across responsibilities in an early-stage or otherwise high-uncertainty environment. Compensation & Benefits Base salary: $110,000 to $190,000 USD annually. Visa sponsorship is available. Location Remote, with the primary location in Munich, Bavaria, Germany.