Senior Software Engineer - AI Intelligence
About the role
What We're Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We're working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we've closed Series D funding, scaled past the 200-person mark, and were named to Forbes' America's Best Startups of 2022 and 2023!
Who We Are
We come for the impact, and stay for the culture! We're a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1.
A Little More About the Team
AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems.
The Agentic Intelligence team shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. The roadmap ahead is about refining what we've built and shipping more on top of it.
We're a small, senior team and we work closely across R&D to get things done. This role leans frontend — most of your work will live there, with a healthy dose of supporting backend work. We're looking for someone who takes real ownership of the user experience in Canvas, advocates for it, and knows when to pull others in.
What You'll Do in the Role
- Ship AI product features. You'll own work across Canvas, our agents, and MCP, from backend infrastructure through the TypeScript frontend. The platform is real and in production. Your job is to make it better.
- Work on agent infrastructure. Agent-store, agent-service, canvas-sync: the systems everything else depends on. You'll improve them and help ship the next iterations of this work.
- Work full-stack. Golang on the backend, React/TypeScript on the frontend. You don't need to specialize in both, but you can't be blocked by either.
- Own your software in production. On-call rotation, incident investigation, closing reliability gaps before they become a problem.
- Work with design and product. We run a product triad. You'll give feedback early, make scope calls with context, and stay in the loop from kickoff through launch.
What You'll Bring to the Role
- You've shipped products on top of LLMs or agents. You know what's hard about building with these systems and how to work around that.
- Strong React/TypeScript skills. You have opinions about component design and state management, and you've delivered product features end-to-end. This is your home base.
- Enough backend to not be blocked. Golang experience, or close to it. You can own a backend workstream, contribute to agent infrastructure, and hold your own in a design review.