GTM Engineer

Job description

# GTM Engineer Location: San Francisco, CA Type: Full-time, on-site **COMPANY OVERVIEW** AgentMail is building the communication and identity layer for AI agents. Agents are starting to do real work, but they still lack basic infrastructure humans already have: persistent identity, reliable communication, permissions, memory, and a system of record. AgentMail gives every AI agent its own programmable inbox. Developers use our API to create inboxes, send and receive email, manage threads, parse messages into structured data, route webhooks, attach domains, and build agents that can communicate across the internet. We're backed by Y Combinator and have raised $6M led by General Catalyst, with support from the founders of Ramp, Supabase, and HubSpot, as well as Paul Graham. We're early, moving fast, and building in a category without a playbook. If you want to help define core infrastructure for the agent era, we'd love to meet you. **TLDR** We're hiring a GTM Engineer to build the machine behind AgentMail's growth: the data pipeline, the outbound engine, and the source of truth the whole company runs on. This is a build-and-own role, not a support role. **WHAT YOU'LL DO** - Own the growth data layer end to end: instrument the funnel, enrich every signup, and build the dashboards the company treats as the source of truth - Turn our best customers into ten more: lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions and buyers inside companies already using us - Run experiments across the PLG engine (content, integrations, backlinks, paid) and double down on what moves signups - Connect the stack through APIs, webhooks, and automation so data moves cleanly between PostHog, our CRM, enrichment providers, and outbound tooling - Decide what tools we use and what gets kicked to the curb. You own the stack - Build AI-powered internal tools - Ship systems from prototype through rollout and adoption, then hold your ground. You built it, the team follows it **WHAT WE'RE LOOKING FOR** - A technical foundation: CS, data science, or equivalent. You write real scripts in Python/TypeScript/SQL, wire APIs together, and are dangerous with Claude Code or Codex - You've seen a great growth motion up close, or you've been obsessively reverse-engineering how the best PLG companies grow - High agency in ambiguity: you call out what's broken, come with an opinion, and fix things without being asked - Low ego, high buy-in - Organized enough that the systems you build don't rot. Clean data is a discipline, not a feature - You want to help invent a market, not just run someone else's process **BONUS POINTS** - Hands-on experience with tools like Clay, n8n, enrichment waterfalls, or sending infrastructure - PostHog fluency (we live in it) - You've shipped agentic workflows or internal AI tooling before - You've worked at or studied a technical PLG company up close