Marketing Technology Automation Engineer

TRM Labs; San Francisco (CA); On-site; CAD 207,000 - 262,000; Full time

Benefits offered by this job

Equity plan

Job summary

TRM Labs is seeking a Marketing Technology Engineer to own the automation and AI layer of the MarTech stack, building agents and automations that reduce manual work and ensure reliable outputs. This technical role sits within Marketing and combines operations and engineering responsibilities.

You will design end-to-end agent workflows, implement production automation using tools like Clay, Zapier, n8n, and code in SQL and Python, with strong REST API practices.

Qualifications

• Marketing operations experience, understanding funnel/attribution logic, lead scoring, deliverability norms, and list hygiene.
• Experience building production automation inside GTM functions using no-code to code evolution.
• Proven ability to own automation that others rely on, across multiple tools and product lines.
• Technical baseline: proficiency in SQL and Python, REST API fundamentals, secrets management, BigQuery fluency, and admin of HubSpot and Salesforce.

Responsibilities

• Own the operating layer for marketing's agent fleet end to end – provisioning, output verification, monitoring, alerting, and incident response.
• Design and build agentic processes, skills, and automations that remove manual work from the team.
• Instrument usage and output visibility to leadership and improve agents from feedback.
• Consolidate marketing concepts across tools and agents to ensure consistency.
• Own the MarTech stack configuration, administration, and integration for scalable campaigns.

Job description

TRM Labs is seeking a Marketing Technology Engineer to own the automation and AI layer of the MarTech stack, building agents and automations that reduce manual work and ensure reliable outputs. This technical role sits within Marketing and combines operations and engineering responsibilities.

You will design end-to-end agent workflows, implement production automation using tools like Clay, Zapier, n8n, and code in SQL and Python, with strong REST API practices.