Software Engineer I - LLM Observability

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do. We work with well-known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard across a range of industries. 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.

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.

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 it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production.

• 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.

• 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.
• Experience being on call. You'd join our rotation after about 90 days.
• A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.

• Experience building LLM or agent-powered features in production.
• Hands-on experience with observability tooling, such as OpenTelemetry.

Base Salary based on level of experience: $218,891—$245,946 CAD.

• A stake in our success - generous equity with employee-friendly stock program
• It's not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
• Time to recharge with unlimited PTO
• A distributed-first mindset and culture (really!)
• Home office, co-working, and internet stipend
• Full benefits coverage for employees, with additional coverage available for dependents
• Up to 16 weeks of paid parental leave, regardless of path to parenthood
• Annual development allowance
• And much more...