GTM Engineer

The role

Workflow design and automation

• Map marketing journeys and bottlenecks; turn briefs into workflow designs, data requirements, acceptance criteria, and prioritized implementation backlogs.
• Build workflows using tools such as n8n, Make, or Zapier, with JavaScript or Python where needed; connect advertising, CMS, CRM, booking, and reporting systems through APIs and webhooks.
• Develop AI-assisted research, content briefing, asset repurposing, campaign preparation, and performance-summary workflows using approved brand and location information.
• Implement lead routing, reminders, follow-up, lifecycle triggers, and consistent cancellation and rescheduling processes according to customer preferences and business rules.

Data quality and reliability

• Maintain campaign identifiers, event definitions, and location mappings; reconcile leads, bookings, attendance, and paid outcomes and flag missing or inconsistent data.
• Build approval steps, access controls, logging, retries, alerts, and duplicate prevention.
• Monitor workflow reliability, data freshness, and AI or API usage costs.
• Collaborate with engineering on production integrations and deployment; document workflows, train operators, and make successful pilots reusable across locations.

Experience and technical requirements

• At least three years of experience or equivalent evidence of delivery.
• Experience in marketing operations, RevOps, automation, or software engineering, including production workflows personally built and maintained.
• Working knowledge of at least one workflow platform; ability to write and debug JavaScript or Python and use SQL for basic data validation.
• Practical API integration experience with JSON, webhooks, authentication, error handling, and secure credential management.
• Understanding of campaign tracking, CRM stages, lifecycle messaging, UTMs, and inquiry-to-booking and customer-conversion journeys.
• Experience with LLM APIs, structured outputs, approved source context, evaluation checks, and human review where required.

Collaboration and useful experience

• Able to investigate failures, explain technical choices to marketers, and collaborate with engineering and US stakeholders during agreed hours.
• Advertising-platform integrations, GA4 or Google Tag Manager, offline conversion data, CMS integrations, and systems serving multiple locations are useful additional experience.
• Familiarity with Git, deployment environments, and AI-assisted coding tools is helpful.

First 90 days

• First 30 days: map systems and data flows, agree measurement definitions and access requirements, and prototype a priority marketing workflow.
• By day 60: put priority workflows into use with approvals, monitoring, and recovery procedures, and validate data with marketing and engineering against source systems.
• By day 90: show measured improvements in manual effort, reliability, or turnaround time, and deliver documentation and reusable templates for onboarding more locations.

Application

• Applicants are asked to submit a CV and two workflow examples, including at least one used in production, describing the business problem, connected systems, implementation, failure handling, and measured impact.
• A short walkthrough or anonymized architecture diagram is welcome.