GTM Engineer - Growth

Gorgias is building a unified AI agent that sells, supports, and re-engages customers across the entire customer journey. The GTM Engineers team builds the AI product layer for Gorgias's go-to-market teams, including AI agents, internal cockpits, and the automations underneath them, all running on a shared context layer (Cortex). The GTM Engineer owns the AI agents that run Gorgias's GTM workflows, taking them from manual process to reviewed agent, with the goal of optimizing as much GTM work as possible without losing quality.

Responsibilities

Navigate between the context layer, app and service repositories, MCPs, and automation tools to build and improve end-to-end GTM workflows; Build custom agents and reusable agent skills on the Cortex agent stack and on custom builds; Build and maintain agents for lead and account work (outbound reply handling, audience and call-list building, enrichment, event follow-up, referral routing); Map the Sales and Marketing workflow backlog and decide Agent vs. Automation vs. Manual for each workflow; Improve live agents by tuning prompts and skills, reading conversation and performance data, fixing regressions, and documenting edge cases; Debug broken workflows across Cargo, HubSpot, Customer.io, and other GTM tools and fix root causes; Connect agents to systems through APIs and workflows (n8n, Clay, custom code) with centrally managed credentials; Help Sales (BDRs and AEs) and CS adopt agents by designing flows with them and training them to supervise outputs; Work with other GTM Engineers so agents run on clean CRM data

Requirements

Passionate about AI, spending most of their time building with Claude Code, Conductor, or another AI coding harness; 3+ years in a technical GTM, RevOps, or growth engineering role with production automations; Hands-on experience with LLM applications, including prompt design, tool or function calling, and reviewing output quality; Solid SQL and Python or JavaScript; Comfortable working with REST APIs; Working knowledge of an outbound or engagement tool (Cargo, Dust, Apollo, Lemlist, Instantly, Customer.io, or similar); Good business judgment about when an agent should draft and when it should act; Ownership: takes a workflow from idea to live agent and flags breakages early; Fluent English

Nice to have

Experience building custom agents; Familiarity with a modern data stack (BigQuery, dbt, Segment, Airbyte, Hightouch); Experience with n8n, Clay, or a similar automation tool; French for the Paris team

Benefits

5-week vacation plus 2 weeks RTT; Paid sick leave; Paid parental leave (16 weeks); MacBook Pro; Personal credit card for lunches (Swile); Private health insurance (GAN); Up to €700 to set up a home workstation; Up to €2000 per year for learning material and wellness support (€1500 learning, €500 wellness); Quarterly company-wide online summit; Yearly offsite team and company retreats; Premium AI tools access (ChatGPT, Claude, Granola and others); Annual L&D budget for AI tools