[Hiring] Marketing Technology Engineer @TRM Labs

Role Description

Marketing Operations owns the systems the marketing organization runs on: the MarTech stack, the data that describes our funnel, and increasingly the AI agents that do the work. The Marketing Technology Engineer owns the automation and AI layer of that stack — building the agents and automations that remove manual work from the team, and making sure they keep running and keep producing output we can trust. This is a technical role inside a marketing function, and the marketing half is not optional.

The impact you'll have here:

• 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, and decide — with marketing judgment — which are worth building at all.
• Instrument what we build so usage, output, and value are visible to leadership, and so agents improve from feedback rather than staying frozen at launch.
• Consolidate how core marketing concepts are defined across tools and agents — territory, lead scoring stages, MQL and MQA, pipeline stages, targets — so automations and dashboards cannot quietly disagree, including across two product lines.
• Own the MarTech stack — configuration, administration, and integration — and build in a way the campaign execution team can extend without engineering support for routine work.

Qualifications

• Prior marketing or marketing operations experience — required, not preferred.
• Understanding of funnel and attribution logic, lead scoring, send-cadence and deliverability norms, and list hygiene and consent rules.
• Experience operating something unattended.
• Track record of building production automation inside a GTM function — Clay, Zapier, Workato, n8n, or similar.
• Evidence of moving from no-code stitching into code and repository practice: version control, code review, CI, testing, and deploying into a shared repo.
• Working proficiency in SQL and Python.
• Solid REST API fundamentals.
• Familiarity with secrets management for credentials and API keys.
• Data-warehouse fluency (for example BigQuery) to query and reason about data models.
• Hands-on administration of HubSpot and Salesforce.

Requirements

• Direct experience with Claude, or with n8n.
• Experience building multi-step enrichment waterfalls in Clay or similar that others depend on.
• Exposure to observability or data-quality practices — monitoring, alerting, freshness and anomaly checks — in any prior role.
• Experience supporting more than one product line, where the same metric has to be correct in two motions at once.

Benefits

• High velocity, high ownership team.
• Intellectually challenging work with high ownership.
• Environment that encourages experimentation and continuous feedback.
• Opportunity to work at the intersection of AI, national security, and fighting crime.
• Fast-paced work environment that rewards urgency, adaptability, and outcomes.