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TRM Labs is seeking a Marketing Technology Engineer to own the automation and AI layer of the marketing operations stack. This is a technical role embedded within the marketing function, requiring both engineering rigor and marketing domain expertise.
Key responsibilities include:
- End-to-end ownership of marketing's agent fleet: provisioning, output verification, monitoring, alerting, and incident response
- Design and build agentic processes and automations that eliminate manual work from the marketing team
- Instrument systems to make usage, output, and value visible to leadership; enable agents to improve from feedback
- Consolidate core marketing concept definitions (territory, lead scoring, pipeline stages, targets) across tools and agents to prevent silent disagreements
- Own MarTech stack configuration, administration, and integration; build extensibility for the campaign execution team
Required qualifications:
- Prior marketing or marketing operations experience (required, not preferred). Must understand funnel logic, attribution, lead scoring, send cadence, deliverability, list hygiene, and consent rules
- Hands-on experience operating unattended systems (pipelines, integrations, agents) that broke and taught you to verify output rather than trust status indicators
- Track record building production automation in GTM functions using tools like Clay, Zapier, Workato, or n8n, where others depended on your work
- Evidence of progression from no-code automation to code: version control, code review, CI, testing, shared repository deployment
- Technical baseline: SQL and Python proficiency, solid REST API fundamentals, secrets management, data warehouse fluency (BigQuery), hands-on HubSpot and Salesforce administration
Nice-to-have skills include direct Claude or n8n experience, multi-step enrichment waterfall building, observability/data-quality practices, and experience supporting multiple product lines.
TRM Labs provides AI-powered intelligence solutions for public and private sector agencies investigating and disrupting crime. The company operates at high velocity with high ownership expectations. The role requires comfort with ambiguity, quick priority shifts, and intense collaboration. The work is intellectually challenging because metrics must remain correct across two product lines and multiple tools simultaneously.
