GTM Engineer

Summary

Pogo is seeking its first GTM Engineer to build AI-powered systems for its enterprise AI SaaS product. The role partners with Growth, Sales, Design, and Engineering to ship revenue-driving workflows, automate manual go-to-market processes, and develop internal tools, agents, and playbooks.

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

Skills

• 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)
• + Experience at early-stage startups or building your own products
• + You've shipped AI agents that moved an actual revenue metric, not just demos
• + Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building

Qualifications

Must Haves

• 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)

Nice to Haves

• + Experience at early-stage startups or building your own products
• + You've shipped AI agents that moved an actual revenue metric, not just demos
• + Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building

Benefits

• Flexible work schedule that accommodates other priorities outside of work
• Unlimited PTO
• Minimum 20 days vacation policy