Own the automation and AI layer of the marketing tech stack to enhance efficiency and trust in output at TRM Labs.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 7 hours ago
Skills & Technologies
AI in the day-to-day
The role involves building AI agents and automations to improve marketing operations.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Marketing Technology Engineer at TRM Labs is responsible for managing the automation and AI components of the marketing technology stack, ensuring that systems operate effectively and outputs are reliable. This role requires a strong technical background in SQL and Python, along with experience in marketing operations and automation tools like Zapier or Workato. Ideal candidates will have a history of building dependable systems within a go-to-market function and be comfortable making critical marketing decisions independently. TRM's fast-paced environment demands adaptability and a high level of ownership, making it suitable for those who thrive on solving complex problems.
Joblaze insights
Quick facts
From the original posting
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. Nothing counts as shipped until it has run for real and its output has been checked.
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.
What we're looking for:
Prior marketing or marketing operations experience — required, not preferred. You already understand 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.
You have personally operated something unattended. A pipeline, integration, or agent that ran on its own, broke without telling you, and taught you 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 what you built was depended on by other people and you were the one who owned it.
Evidence you have moved from no-code stitching into code and repository practice: 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 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.
About the Team:
Marketing Operations is a distributed, not distant team that owns the systems the marketing organization runs on.
The work is intellectually difficult because the same metric has to stay correct across two product lines and multiple tools and agents at once.
Ownership is high: this role makes consequential marketing decisions without a downstream reviewer.
Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $150,000–$190,000 USD.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States
Recruiter Intro: Qualifications, motivations, and alignment with the role.
Accelerate repeatable workflows
Structure and solve problems
Improve output quality
Increase speed and leverage
At TRM, you should expect:
Priorities and targets to change quickly
Operating with a high degree of ambiguity
Close collaboration across teams and functions
Frequent, high-touch communication
Creative problem-solving and out-of-the-box thinking
Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
Standard company text repeated across TRM Labs's postings is omitted here.