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AgentMail

GTM Engineer

San FranciscofulltimemidAdded today

About this role

GTM Engineer at AgentMail, a Y Combinator-backed AI infrastructure startup, to own the complete growth data stack—from funnel instrumentation and customer enrichment to lookalike modeling and automated outbound campaigns. You'll build dashboards as the source of truth, run PLG experiments, and connect the entire marketing and sales tech stack while shipping AI-powered internal tools.

What you'll do

  • Own the growth data layer: instrument the funnel, enrich signups, and build authoritative company dashboards
  • Turn best customers into more: execute lookalike modeling, automated outbound, and identify champions within existing accounts
  • Run PLG experiments (content, integrations, backlinks, paid) and optimize for signup growth
  • Connect tools via APIs and webhooks to move data cleanly between PostHog, CRM, enrichment platforms, and outbound systems
  • Evaluate, select, and own the GTM tech stack end-to-end
  • Build and ship AI-powered internal tools and systems from prototype through adoption

What they're looking for

  • Python, TypeScript, or SQL scripting
  • API integration and webhook automation
  • PostHog analytics and instrumentation
  • Product-led growth (PLG) mechanics and strategy
  • Data pipeline architecture and enrichment
  • Growth experiment design and analysis
  • AI-powered workflow development (Claude, Codex)
  • CRM and marketing automation platforms
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AgentMail

AgentMail builds an inbox platform designed specifically for AI agents to communicate and authenticate in the real world. The company is hiring founding engineers to own backend infrastructure and APIs, building high-performance systems that enable agent communication.

View all jobs at AgentMail

Likely interview questions

  • Walk us through a time you built a growth data infrastructure from scratch—what tools did you choose and why?
  • How would you approach instrumenting our product funnel and what would your first 30 days of dashboarding look like?
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