TRM Labs, a company that develops AI-powered intelligence tools for public and private sector agencies to investigate and disrupt crime, is hiring a Marketing Technology Engineer. The platforms trace illicit activity, build cases, and construct operating pictures of threat networks. Marketing Operations manages the MarTech stack, funnel data, and AI agents. This role owns the automation and AI layer of that stack — developing the agents and automations that reduce manual work for the team and ensuring they continue operating and producing dependable output. It is a technical position within a marketing function; the marketing aspect is not optional. **Impact areas include:** End-to-end ownership of the operating layer for the marketing agent fleet (provisioning, output verification, monitoring, alerting, incident response). Nothing is considered shipped until it has actually run and its output has been verified. Design and build agentic processes, skills, and automations that eliminate manual work, using marketing judgment to decide which are worth building. Instrument what is built so usage, output, and value are visible to leadership, and so agents improve from feedback rather than remaining frozen at launch. Unify how core marketing concepts (territory, lead scoring stages, MQL and MQA, pipeline stages, targets) are defined across tools and agents to prevent automations and dashboards from silently disagreeing — including across two product lines. Own the MarTech stack (configuration, administration, integration) and build in a way the campaign execution team can extend without engineering support for routine work. **Requirements:** 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. This role has no downstream reviewer for marketing correctness. Demonstrable experience operating something unattended — a pipeline, integration, or agent that ran independently, broke without warning, and reinforced the need to verify output rather than trust a green status. Scale matters less than the scar tissue. A track record of building production automation inside a GTM function (Clay, Zapier, Workato, n8n, or similar) where the output was depended on by others and the candidate was the owner. Evidence of transitioning from no-code stitching into code and repository practices: version control, code review, CI, testing, and deploying into a shared repo rather than a personal account. Technical baseline: working proficiency in SQL and Python, solid REST API fundamentals, familiarity with secrets management for credentials and API keys, enough data-warehouse fluency (for example BigQuery) to query and reason about data models, and hands-on administration of HubSpot and Salesforce. **Nice to have:** Direct experience with Claude or n8n. Experience building multi-step enrichment waterfalls in Clay or similar tools 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 must be correct in two motions at once. **About the team:** Marketing Operations is a distributed, not distant team. The work is intellectually demanding because the same metric must stay correct across two product lines and multiple tools and agents simultaneously. Ownership is high: this role makes consequential marketing decisions without a downstream reviewer. **Compensation:** Individual pay is determined by skills, qualifications, experience, and location. The estimated base salary range is $150,000–$190,000 USD (reflecting US base salary only). The role may also be eligible to participate in TRM's equity plan. Costs for geographies outside the United States are factored in. **Application instructions:** Applications should be submitted directly through the posting. Every application is reviewed by the Talent team. Candidates should carefully review the job description and provide thoughtful, accurate answers to application questions. Sending a resume directly to someone at TRM does not guarantee it will reach the appropriate hiring team. **Interviewing:** The process includes a case study, an AI skills assessment, and a Leadership Principles interview. Steps: Recruiter Intro (qualifications, motivations, alignment), Hiring Manager (deep dive into relevant experience, skills, impact), First Round (1–2 interviews focused on critical skills), Final Round (hands-on case study, typically panel-style), References (former colleagues), and Offer (compensation details presented by recruiter). **AI fluency:** A baseline expectation at TRM. Every team member is expected to use AI to accelerate and reimagine their craft, not just automate surface tasks. AI fluency means being among the top 10 percent of operators in applying AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage. Applied AI fluency is evaluated during the interview process. **Life at TRM:** The company describes itself as high-velocity, high-ownership. Priorities and targets change quickly. Operating involves a high degree of ambiguity, personal ownership and accountability, close cross-team collaboration, frequent high-touch communication, and creative problem-solving. The environment is described as energizing for those who enjoy building and solving hard problems but is not for everyone — candidates primarily optimizing for predictability or a consistently balanced workload are encouraged to use the interview process to assess fit. **Leadership principles:** Impact-Oriented Trailblazer (customers first, speed, focus, adaptability, treat plans as experiments), Master Craftsperson (deep care for craft, balance speed with high standards, own outcomes end-to-end, invest in getting better daily), Inspiring Colleague (clarity and energy, humility, candor, one-team mindset, giving and receiving feedback). **Company details:** TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, operating as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. **Privacy and additional information:** Submitting an application agrees to allow TRM Labs to process personal information per their Privacy Policy. Hiring cycles for certain positions may span 24 to 36 months; personal information is retained up to 36 months from the application date, then deleted unless a different retention period is required or permitted by law. Applicants in the EEA, UK, or other jurisdictions with applicable data protection laws may access, correct, or request deletion of their data at any time before that period ends (privacy@trmlabs.com). Use of AI tools (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval. TRM uses internal tools for note-taking. Reasonable accommodations are available for applicants with disabilities (via a provided form). TRM Labs does not accept unsolicited agency resumes and will not pay fees to any third-party agency without a signed agreement.

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