GTM Engineer
About the role
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
Requirements
Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems
Heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them
Built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering
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
Strong product and design taste - the internal tools you build should feel as polished as the product
Think in systems and like turning messy operational problems into clean, automated ones
Have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists
Communicate clearly across technical and non-technical stakeholders, especially when things are ambiguous
Built and maintained production systems used by real users (internal users count)
Qualifications
Experience at early-stage startups or building your own products
Experience shipping AI agents that moved an actual revenue metric, not just demos
Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building
Bonus
Experience at early-stage startups or building your own products
Experience shipping AI agents that moved an actual revenue metric, not just demos
Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building
Skills
Experience with AI tools like Claude Code, Cursor, or Codex
Experience building with LLMs and AI agents
Hands-on experience with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.)
Strong product and design taste
Systems thinking and ability to automate operational problems
Commercial instincts and ability to see opportunities in data and user interactions
Clear communication skills across technical and non-technical stakeholders
Benefits
Move fast. Ship weekly and get rapid feedback from the teams using what you build
Shape what this function looks like at Pogo as we scale
Work with the latest tech. Build with the latest coding tools, LLMs, and GTM platforms
Partner with Growth, Sales, Design, and Engineering
Ships real systems that get real usage and move real numbers - pipeline, conversion, retention
Sit at the center of the company
Pay
TBD
Schedule
TBD