Honeycomb.io
Honeycomb.io builds a SaaS observability platform for software engineering, SRE, and DevOps teams to debug and operate distributed systems using tracing, event data, and high-cardinality queries. Its product integrates with OpenTelemetry and supports SLOs, instrumentation, and production debugging workflows. Founded in 2016 and headquartered in San Francisco, the company is privately held and counts customers such as Slack, HelloFresh, LaunchDarkly, and Vanguard.
Open Positions at Honeycomb.io
8 open positions
Build full-stack observability capabilities that help customers understand, debug, and monitor AI agents in production. You’ll work across data ingestion, backend systems, and product visualizations on a distributed team.
Build end-to-end observability capabilities that help customers understand, debug, and improve AI agents and LLM-powered systems. This fully distributed role spans data foundations, backend services, and product visualizations.
Build the next generation of AI observability at Honeycomb, helping customers understand agent behavior, costs, errors, and conversations. This fully distributed role spans backend data infrastructure and frontend product experiences.
Join Honeycomb’s distributed LLM Observability team to build end-to-end capabilities that help customers understand, debug, and improve AI agents in production. You’ll work across data infrastructure, backend services, and frontend product experiences.
Join Honeycomb’s Storage Team as a senior software engineer building the high-throughput storage and query infrastructure behind billions of events. You’ll own complex systems end to end, improve performance and reliability, and help power products such as Metrics, Triggers, and SLOs.
Build production-grade AI agents that investigate, reason over, and act on high-cardinality observability data inside Honeycomb’s Canvas. You’ll take agent concepts from prototype through production while shaping the future of Honeycomb’s agentic intelligence platform.
Senior Software Engineer on Honeycomb’s Storage Team, building the high-throughput storage and querying systems that power billions of events and every major product experience. The role combines deep Go engineering, performance optimization, production ownership, and technical leadership in a fully distributed environment.
Build production-grade AI agents that investigate, reason over, and act on live observability data within Honeycomb’s Canvas workspace. You’ll own agent development end to end, from prototypes and evaluations through reliable production systems.