
Production Monitoring for AI agents
Lemma reads all of your agent conversations, finds the failures nobody knew to look for, and opens the PR that fixes them.
We sell reliability tooling. There is no version of this company where our own pipeline is the flaky part.
Right now it works because it's small and we're watching it. This role is about making it work when it's large and nobody is watching it.
The interesting problems here aren't modeling problems. Agent runs go for hours, call thousands of tools, and produce deeply nested spans that look completely different at every customer. We read all of production, not a sample, and we surface the anomalous fraction of a percent without anyone telling us what anomalous means. Doing that accurately is hard. Doing it at a cost per event that doesn't eat the business is the actual job.
Then the part that decides whether we have a company: reproducing a failure we saw once, proving it's real and not variance, and being right enough that a team lets us open PRs against their repo. Being confidently wrong once costs more trust than being right fifty times earns.
We move fast on hiring. Target is an offer within two weeks of first contact.
Onsite in San Francisco. We sponsor visas.
We keep this short on purpose. Target is an offer within two weeks of first contact.
Intro call with a founder (30 minutes). What we're building, what you've built, whether the shape of the role actually fits what you want next.
Take-home project and deep dive. We give you a real problem from Lemma. You work on it on your own time, then we walk through it together. The conversation matters more to us than the artifact.
Paid work trial (2 days, onsite in-person). Real problem, real codebase, sitting with the team. You find out what working here actually feels like before you commit, which tells you more than anything we could say about it.
May ask for additional references.
Lemma is a YC F25 company building production monitoring for AI agents. We help companies automatically improve their AI agents from production data by catching the silent failures your observability tools miss and building self-healing loops.
We're backed by Y Combinator, Matrix, Liquid 2 and operators from OpenAI, xAI, and Doordash. We look for people who act like founders - driven by the mission, biased toward action, and committed to craft.