GTM Engineer

Pogo

GTM Engineer building AI-powered systems that drive revenue for Pogo. Collaborating with sales, growth, design, and engineering teams to create efficient workflows and tools.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-powered workflows and internal tools that enhance growth and sales operations, with a strong focus on leveraging modern GTM stacks and AI technologies. Capable of collaborating with cross-functional teams to create polished, user-friendly systems that drive efficiency and revenue.

Highest-signal resume keywords

AI Tools ProficiencyGTM Stack ExperienceLLM and AI Agent DevelopmentSystems ThinkingClear Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Workflow DevelopmentPrompt EngineeringAPI IntegrationAutomationProduct DesignData AnalysisRevenue SystemsTool UseOperational Problem Solving

Soft Skills

Commercial InstinctCross-Functional CollaborationClear Communication

Tools & Technologies

Claude CodeCursorCodexClayHubSpotSalesforceApolloCargoGongOutreach

Industry Keywords

GTMGrowthRevenue OperationsSales EngineeringMarketing Operations

Tech Stack

Tools & technologies

Apollo

About the role

Key responsibilities & impact

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

What you’ll need

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)
Bonus:
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

Comp & perks

Unlimited PTO
Minimum 20 days vacation policy