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
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
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
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 🌴
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