GTM Engineer

We're looking for a GTM Engineer who is, above all, a builder who ships: technically deep, AI-fluent, and happiest turning a real business problem into working software. Over the past year we've shipped AI agents that already run real parts of our business, from account scoring to marketing and revenue intelligence, and that's just the start. You'll own that portfolio and grow it, working with every department at Expo: sit with sales, marketing, product, and any team with a hard problem, understand what's really going on underneath the request, then automate and build the solution, week after week.

This is not a CRM admin position; you'll be measured by what you build and what it does for the business. Along the way you'll help shape how AI accelerates every part of the company. GTM Engineering is an emerging discipline, and you'll get to define what it looks like at Expo.

• Own the agent portfolio: You'll inherit a live set of AI agents and automations already doing real work across our self-serve database, marketing, and revenue data. Keep them reliable and easy for the team to depend on, and constantly improve them: better accuracy, broader coverage, more impact.
• Build AI agents and workflows that replace manual GTM work: Account research, lead routing, outbound personalization, forecasting support. Take fuzzy business problems and turn them into shipped systems using LLM APIs (Claude, OpenAI) and modern agent tooling.
• Partner with leaders across Expo: Embed with sales and marketing, sit in their calls, and dig past the surface request to the deeper problem. Then automate it: ship the solution fast, and make every release a power-up to the whole team.
• Work with the product team: Expo is a product-led company, and the best GTM systems start with what developers actually do in the product. Partner with product and engineering to bring usage data and product signals into the GTM engine, and feed what you learn from customers back into the product roadmap.
• Own the integration layer: Connect Hub Spot, Big Query, Stripe, Slack, and our ad platforms via APIs and webhooks. Design for data quality (validation, dedup, and governance) so the systems downstream can be trusted.
• Build scalable, secure systems: These systems run on their own and touch customer data. Design them to scale as Expo grows, handle credentials and customer data responsibly, and hold the same bar for security and privacy as our product engineering team.
• Operationalize signals: Turn product usage, enrichment data, and buying signals into scoring, routing, and lifecycle automation so the right account reaches the right person at the right time.
• Measure business impact: Instrument what you build and tie it to pipeline, conversion, win rate, and rep productivity, not activity metrics. Double down on what works and shut off what doesn't work.
• Make buy-vs-build calls: Know when to reach for an off-the-shelf tool and when to build custom, and evolve the stack deliberately.
• Write it down: Documentation and clear writing matter a lot in this role. Everything you ship comes with docs: what it does, how it works, and how to fix it, so the team can understand, use, and trust what you built without you in the room.
• Champion AI across Expo: Publish playbooks, enable non-technical teammates, and pitch new AI plays unprompted. You're a practitioner‑evangelist for AI‑native GTM.
• 3-5 years in GTM engineering, Rev Ops, marketing/sales operations, growth engineering, or software engineering with GTM knowledge
• Daily fluency with AI coding assistants (Claude Code, Cursor, Codex): you can ship a working automation the same day you started it
• Experience building with LLM APIs and agents (prompting, tool use, evals): you know the difference between a demo and something you'd trust in production
• SQL plus a scripting language (Python or Type Script): you pull your own data
• Hands‑on CRM depth:
  Hub Spot workflows, data model, and APIs (or equivalent Salesforce experience)
• High ownership in ambiguity: you'd rather ship a good v0 in weeks than a perfect one that never ships
• Clay, n8n, Zapier, or similar enrichment and workflow tooling
• MCP or agent SDK experience (Claude Agent…