GTM Engineer
$72,000–$72,000 year
RemoteCanada
Job Summary
Own the live agent portfolio across self-serve databases, marketing, and revenue data, keeping systems reliable and improving accuracy and coverage. Build AI agents and workflows that automate account research, lead routing, and forecasting using LLM APIs and modern tooling. Partner with sales, marketing, and product leaders to embed in calls, diagnose root problems, and ship solutions that power the whole team. Connect HubSpot, BigQuery, Stripe, and ad platforms via APIs, designing for data quality and governance. Operate usage and buying signals into scoring and lifecycle automation, measuring impact against pipeline, conversion, and win rate. Document every release and champion AI adoption across Expo by publishing playbooks and enabling non-technical teammates.
Required Qualifications
- 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)
- Experience building with LLM APIs and agents (prompting, tool use, evals)
- SQL plus a scripting language (Python or TypeScript)
- Hands-on CRM depth: HubSpot workflows, data model, and APIs (or equivalent Salesforce experience)
- High ownership in ambiguity
Desired Qualifications
- 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
- You're a builder first: when you see a broken process, your instinct is to make the thing that fixes it, not write a doc about it
- You listen before you build: you get close to stakeholders, understand the workflow underneath the ask, and solve the real problem instead of the reported one
- You measure your week by what you shipped, not what you attended
- You treat go-to-market as a software problem and get energy from shipping software that does work a human used to do
- You're technically savvy and AI savvy: comfortable across code, data, and APIs, and you build with new models and tools in your free time because you can't help it
- You have real commercial instinct: you can sit in a sales call and immediately see where leverage exists
- You communicate technical topics clearly with non-technical stakeholders and bring them along
- You document what you build so wins propagate instead of living in your head
- You love working with talented, kind people and hold a high bar for your own work
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