GTM Engineer

Summary

Expo is a company that builds tools for app development, and they are seeking a GTM Engineer who is technically deep and AI-fluent. The role involves owning and improving AI agents, automating GTM processes, and collaborating with various teams to solve business problems through software solutions.

Responsibilities

• 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 HubSpot, BigQuery, 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

Skills

• 3-5 years in GTM engineering, RevOps, 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 TypeScript): you pull your own data
• Hands-on CRM depth: HubSpot 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 SDK or similar)
• Data warehouse modeling (BigQuery, dbt)
• You've shipped AI agents that moved an actual revenue metric, not just demos
• Background in developer tools or product-led growth
• Has prior RevOps experience in a high-growth startup

Qualifications

Must Haves

• 3-5 years in GTM engineering, RevOps, 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 TypeScript): you pull your own data
• Hands-on CRM depth: HubSpot 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

Nice to Haves

• Clay, n8n, Zapier, or similar enrichment and workflow tooling
• MCP or agent SDK experience (Claude Agent SDK or similar)
• Data warehouse modeling (BigQuery, dbt)
• You've shipped AI agents that moved an actual revenue metric, not just demos
• Background in developer tools or product-led growth
• Has prior RevOps experience in a high-growth startup

Benefits

• Competitive salary + equity package.
• Comprehensive healthcare benefits (medical, dental, vision) - U.S. only.
• 401(k) plan with company matching - U.S. only.
• $6,000 to set up your ideal work setup (laptop, monitor, etc.).
• Flexible schedule: Adjust your work schedule to when you're most productive.
• Flexible PTO: Take the time you need - employees average about 17 days off per year (in addition to regional holidays).
• 12-week fully paid parental leave for all new parents.
• Annual budget for courses, books, or training to invest in your professional development.
• Opportunities to speak at conferences, represent Expo at industry events, and attend regional meetups with the team.