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About the Role

As the first GTM Engineer at Pogo, you will partner with Growth, Sales, Design, and Engineering teams to build AI-powered systems that drive revenue. You will act as both a builder and an operator, shipping code that enhances pipeline and conversion for our enterprise AI SaaS product.

Responsibilities

• Ship AI-powered workflows to scale growth and sales motions.
• Audit the existing GTM stack to identify and resolve gaps and redundancies.
• Embed with sales and growth teams to systemize their best plays.
• Build internal tools and agents for lead routing, enrichment, outbound personalization, account research, content distribution, and attribution.
• Determine when to utilize off-the-shelf tools versus custom builds.
• Partner with engineering and design to test features and dogfood AI capabilities.
• Publish playbooks and internal guides to share best practices across the organization.

Requirements

• 2-5 years of professional software engineering experience.
• Experience applying engineering to GTM, growth, or revenue systems.
• Proficiency with AI tools such as Claude Code, Cursor, or Codex.
• Experience building with LLMs and AI agents, including RAG, evals, tool use, and prompt engineering.
• Hands-on experience with modern GTM stacks including Clay, HubSpot, Salesforce, Apollo, Cargo, Gong, or Outreach.
• Ability to navigate APIs, webhooks, and integrations.
• Experience building and maintaining production systems.
• Strong communication skills across technical and non-technical stakeholders.

Skills

• Software Engineering
• AI Agent Development
• LLM Integration
• Prompt Engineering
• RAG
• GTM Stack Management
• API Integration
• Product Design
• Systems Thinking
• RevOps

Experience Level

• 2-5 years of professional software engineering experience

Benefits

• Unlimited PTO
• Minimum 20 days vacation policy
• Flexible work schedule

About the Company

• Pogo is an enterprise AI SaaS company.