Senior Software Engineer (Agent Observability)

The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We’re bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of itYou’ll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for youDeliver AI observability capabilities end to end, from ingestion to in-product visualizationsContribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb productBuild systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomaliesCollaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflowsShare what you learn about exploring and understanding AI system behavior across conversations and workloadsIterate through fast feedback loops and experimentation, and share both wins and failuresBenefits
100% covered medical, dental, vision, HSA, FSA, disability, and moreUnlimited PTO, synchronous company break, paid sabbatical, and expressed minimum for time to recharge401K retirement plans and fully paid life insuranceUp to 16 weeks paid leave regardless of path to parenthood;
flexible hours for returning parents and caregivers$10K to cover gaps in insurance, in support of adoption, surrogacy, preservation, and family-planning costs$600 per year to spend on the perks you care for mostA stake in our successGenerous new hire equity, and refresh grantsAnnual $1,500 development stipend;
funding for cognitive coaching;
and a focus on career pathing$500 new hire home setup stipend and $200/mo for wifi, phone and co-workingA track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the jobExperience shipping customer-facing features at a SaaS company, beyond internal toolingExperience being on call. You’d join our rotation after about 90 daysRegular, hands-on use of AI tools in your day-to-day engineering work3+ years of software engineering experienceBonus: Experience building LLM or agent-powered features in productionFull-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React)A track record of working with product managers and designersBonus: Hands-on experience with observability tooling, such as OpenTelemetry
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