Builds and owns Honeycomb's AI/LLM observability product end to end — from ingestion pipelines and agent data models to in-product visualizations of cost, tokens, errors, and anomalies — on a small cross-functional team. Full-stack work: Go and/or Python on the backend, TypeScript and React on the frontend.
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