Senior Software Engineer II - LLM Observability

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!

If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases.

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. #LI-Remote * #### Little more about the team:

The LLM Observability (LLM O11y) team builds the foundational layer that makes AI workloads observable in Honeycomb. We define how AI systems are represented in telemetry (spans, traces, token usage, cost, eval signals, etc), and ensure that data from diverse ecosystems (e.g., LangChain, OpenLLMetry, Braintrust) is normalized into a consistent OpenTelemetry-based model.

This team owns the infrastructure and data model that all downstream AI observability experiences rely on. Our work powers everything from cost analysis to anomaly detection. If you’re excited about defining and building the “source of truth” for how AI systems behave in production, this is the team for you.

#### What you’ll do in the role: