Honeycomb Software Engineer I at Honeycomb focused on delivering AI observability capabilities end to end. Responsible for building data models, infrastructure, and systems to surface AI-specific signals.
Responsibilities
Deliver AI observability capabilities end to end, from ingestion to in-product visualizations.
Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
Share what you learn about exploring and understanding AI system behavior across conversations and workloads.
Iterate through fast feedback loops and experimentation, and share both wins and failures.
What you’ll bring to the role:
3+ years of software engineering experience.
Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
Full-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 designers.
Regular, hands-on use of AI tools in your day-to-day engineering work.
Qualification
Required
3+ years of software engineering experience
Experience shipping customer-facing features at a SaaS company
Proficiency in backend development (Go and/or Python)
Proficiency in frontend development (TypeScript and React)
Track record of working with product managers and designers
