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This listing was closed on Sep 18, 2026.
Browse Open JobsAgent Experience Engineer
Summary by AIEngineer.careers
Agent Experience Engineer is a AI Agent Engineer role (full-time). with AgentMail. in SAN FRANCISCO, US. Compensation shown: $125K–$190K. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
SAN FRANCISCO · US
$125K–$190K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
AgentMail is building the identity layer for AI agents, starting with email. We're hiring an Agent Experience Engineer to own how AI models and agents discover and use AgentMail—covering AEO, evals, benchmarks, agent traces, docs, and llms.txt. You'll measure answer-engine presence, run agent traces, improve the agent-facing surface (including MCP and llms.txt), and drive the AEO content engine. Backed by General Catalyst and Y Combinator, the role offers a competitive salary and equity.
Responsibilities
- Own answer-engine presence: measure and improve share of voice for AgentMail when LLMs answer questions about email or identity for agents
- Conduct original research: evals and benchmarks on how frontier and open source models, plus agent harnesses, use AgentMail
- Run agent traces against docs and site, read reasoning, and fix points of confusion
- Improve the agent-facing surface: llms.txt, MCP descriptions, docs structure, and error messages agents encounter
- Steer the AEO content engine: verify automated page pipeline, brief freelancers, and do backlink outreach
- Maintain the weekly AEO briefing action queue, from freshness debt to competitor watch
Requirements
- Build with agents daily and have opinions on what makes a product easy or miserable for an agent to use
AgentMail
San Francisco · US · 11+ employees
AgentMail is an email inbox API designed for AI agents, enabling them to create, send, receive, and search messages via a REST API. It is built to support autonomous agents and agentic workflows.
