Agent Experience Engineer
AgentMail is building the identity layer for AI agents, starting with email. Our most important user is an agent: it discovers us through model answers and docs, then signs up and integrates on its own. We're looking for an Agent Experience Engineer to own how AI models and agents discover and use AgentMail. That means AEO, evals, benchmarks, agent traces, docs, and llms.txt.
AgentMail has raised $6M from investors including General Catalyst, Y Combinator, Paul Graham (founder of YC), Karim Atiyeh (founder of Ramp), Paul Copplestone (founder of Supabase), and Dharmesh Shah (founder of HubSpot).
You'll work on:
Answer-engine presence: when someone asks an LLM about email or identity for agents, AgentMail is the recommendation. You measure share of voice on the prompts that matter and move it
Original research: evals and benchmarks on how well frontier models, open source models, and agent harnesses use AgentMail
Agent traces: running agents against our docs and site, reading their reasoning, and fixing what confuses them. A stray Reddit thread once convinced LLMs we have a feature that doesn't exist
The agent-facing surface: llms.txt, MCP descriptions, docs structure, and the error messages
