About the role

GTM Engineer at Pogo building AI-powered systems that drive revenue. Collaborating with Growth, Sales, Design, and Engineering teams for pipeline and conversion enhancement.

Responsibilities

Ship AI-powered workflows that scale our growth and sales motions as a competitive advantage
Audit our existing GTM stack, identify the gaps and redundancies, and start shipping against them fast
Embed with our sales and growth teams to turn their best plays into systems the whole org can run on
Build internal tools and agents that replace manual workflows - lead routing, enrichment, outbound personalization, account research, content distribution, attribution
Know when to reach for off-the-shelf tools and when to build something custom
Partner closely with engineering and design to test new features, give feedback, and dogfood our own AI capabilities for GTM use cases
Publish playbooks and internal guides so wins propagate across the team

Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems
You're a heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them
You've built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering
You're hands-on with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.) and can navigate APIs, webhooks, and integrations fluently
You have strong product and design taste - the internal tools you build should feel as polished as the product
You think in systems and like turning messy operational problems into clean, automated ones
You have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists
You communicate clearly across technical and non-technical stakeholders, especially when things are ambiguous
You've built and maintained production systems used by real users (internal users count)