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Pogo

GTM Engineer

RemoteCanada, United States only
Published
Role
Fullstack
Experience
Mid
Employment
Full-time
Salary not disclosed
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Open to CA, US only. Set where you work from to check your eligibility.

No BS summary

GTM Engineer for Pogo (hiring in United States/Canada). Mid-level (likely 2–5 years) engineer to build and operate AI-powered GTM systems; must have hands-on LLM/AI agents experience (RAG, evals, prompt engineering) and be fluent with GTM stack integrations (HubSpot/Salesforce, Apollo, Gong, Outreach, etc.).

Core skills

LLMsAI agentsHubSpot/Salesforce

Required skills

RAGevalsprompt engineeringClaude CodeCursorCodexAPIswebhooksClayApolloCargoGongOutreach/Instantly

What you'll do

  • Ship AI-powered workflows that scale growth and sales motions
  • Audit GTM stack, identify gaps and redundancies, and ship fixes quickly
  • Embed with sales and growth teams to productize their best plays
  • Build internal tools and agents to replace manual workflows (lead routing, enrichment, outbound personalization, account research, content distribution, attribution)
  • Publish playbooks and internal guides so wins propagate across the org

What they require

  • Likely 2-5 years of professional software engineering experience with some applied to GTM/growth/revenue systems
  • Experience building with LLMs and AI agents (RAG, evals, tool use, prompt engineering)
  • Heavy user of AI developer tools (Claude Code, Cursor, Codex) and have shipped non-trivial things with them
  • Hands-on with modern GTM stack and able to navigate APIs/webhooks/integrations
  • Built and maintained production systems used by real users (internal users count)

Benefits

  • Unlimited PTO
  • Minimum 20 days vacation policy
  • Opportunity to ship systems that move real business metrics (pipeline, conversion, retention)
  • Work with latest LLMs, AI tooling and GTM platforms
  • Central cross-functional role partnering with Growth, Sales, Design, and Engineering

Enterprise AI SaaS product.

AIStartup
Salary not disclosed