GTM Engineer

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
Remote
Mid level
Artificial Intelligence • Big Data • Consumer Web • Analytics
The Role
Build and operate AI-powered GTM systems to scale growth and sales. Audit and improve the GTM stack, embed with GTM teams to automate workflows (lead routing, enrichment, personalization, attribution), ship internal tools and agents, and publish playbooks so wins propagate across the company.
Summary Generated by Built In
About your role 👀

As the first GTM Engineer at Pogo, you'll partner with our Growth, Sales, Design, and Engineering teams to build AI-powered systems that compound revenue. You'll work on our enterprise AI SaaS product as both a builder and an operator: shipping code that drives pipeline and conversion.

Specifically, you will:

  • 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

About you 👩‍🚀
  • 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

Why you might be excited about this opportunity 🙌
  • Ship real systems that get real usage and move real numbers - pipeline, conversion, retention

  • Sit at the center of the company. Partner with Growth, Sales, Design, and Engineering

  • Use the latest tech. Build with the latest coding tools, LLMs, and GTM platforms

  • Move fast. Ship weekly and get rapid feedback from the teams using what you build

  • As the first GTM Engineer at Pogo, you'll shape what this function looks like at Pogo as we scale

Why you might not be excited about us 👎
  • Priorities may shift quickly. Oftentimes, we're tackling very ambiguous problems that don't have clear-cut answers. While we make calculated bets, we have a strong culture of experimentation and we'll pivot as necessary based on what we're seeing in the data and what we're hearing from our users.

  • At times, you'll need to build things in a day: we live and breathe a value called "Calculated Speed", which involves iterating and shipping weekly, rather than spending months going through complex processes or lengthy builds. Our engineers are some of the best in the world, which means anything you design today may be shipped next week.

  • We don't have structured management (yet!). We don't have the management overhead to provide direction every step of the way and we're looking for someone that gets energized by being able to run with things.

  • We expect more than 9 to 5 - raw hours make an impact at our current stage. That said, we trust each team member to create a flexible work schedule that allows them to be most productive while accommodating other priorities outside of work. We also strongly encourage time off to recharge the batteries: in addition to unlimited PTO, we've implemented a minimum 20 days vacation policy 🌴

Skills Required

  • 2-5 years of professional software engineering experience, with some applied to GTM, growth, or revenue systems
  • Heavy user of AI coding tools such as Claude Code, Cursor, or Codex and shipped non-trivial projects with them
  • Experience building with LLMs and AI agents (RAG, evals, tool use, prompt engineering)
  • Hands-on experience with modern GTM stack tools (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly) and fluency with APIs, webhooks, and integrations
  • Strong product and design taste; internal tools should feel polished
  • Ability to think in systems and automate messy operational problems
  • Commercial instinct to identify leverage from sales calls and growth dashboards
  • Clear communication across technical and non-technical stakeholders
  • Experience building and maintaining production systems used by real users (internal users count)
  • Experience at early-stage startups or building your own products
  • Has shipped AI agents that moved an actual revenue metric
  • Background in RevOps, Marketing Ops, or Sales Engineering prior to building
Am I A Good Fit?
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The Company
30 Employees
Year Founded: 2020

What We Do

Pogo is a consumer-research and data company that combines verified purchase and behavioral data with AI-powered research. Its opt-in community of millions of consumers enables brands and businesses to conduct concept testing, brand tracking, and other high-stakes research, while participants earn from sharing their lived experience. Pogo aims to create a trusted system that improves business decisions, consumer products, and the value people receive from their data.

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