GTM Engineer
Agentmail · San Francisco
About this role
## GTM Engineer **Location:** San Francisco, CA **Type:** Full-time, on-site --- ### About AgentMail 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. --- ### TL;DR 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 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 comfortable using tools like **Claude Code or Codex** - You’ve seen a great growth motion up close, or you’ve been reverse-engineering how top 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
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