Key skills
AI Tools - Claude CodeAI Tools - CursorAI Tools - CodexLarge Language Models (LLMs)AI AgentsRetrieval-Augmented Generation (RAG)Prompt EngineeringGTM Stack - ClayGTM Stack - HubSpotGTM Stack - SalesforceGTM Stack - ApolloGTM Stack - CargoGTM Stack - GongGTM Stack - OutreachAPI IntegrationWebhook IntegrationProduct DesignProduction Systems DevelopmentAIClaudeRAGApollocargoSalesforceSales
About this role
Pogo is looking for its first GTM Engineer to collaborate with various teams to develop AI-powered systems that enhance revenue. The role involves building workflows, auditing existing systems, and creating internal tools to streamline operations.
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
Requirements:
- 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