AI Automation Engineer (Marketing)

Tax Relief AdvocatesIrvine, CA
19d$85,000 - $115,000Onsite

About The Position

Are you ready to lead a marketing transformation through quality assurance and automation? As the AI Automation Engineer (Marketing), you’ll be the driving force behind ensuring the quality and performance of our AI-driven marketing systems. This role builds the data and automation backbone for TRA’s marketing operations — replacing manual Google Sheet processes, automating data cleaning, and enabling real-time reporting across all campaigns. This role ensures that marketing, analytics, and operations teams have accurate, unified, and AI-ready data from all sources (radio, digital ads, affiliates, CRM, etc.).

Requirements

  • 3+ years of experience in marketing automation, analytics, or data engineering.
  • Strong skills in Python, SQL, and data transformation (ETL/ELT).
  • Experience with Supabase, BigQuery, or similar modern databases.
  • Familiarity with ad platforms, Zapier, and API integrations.
  • Exposure to AI/ML tools for reporting, data cleaning, or predictive analysis.
  • Excellent analytical and problem-solving skills with attention to data accuracy and automation reliability.

Responsibilities

  • Build and maintain data pipelines between ad platforms, CRM, and Supabase (or central database).
  • Eliminate Google Sheets as secondary storage by migrating processes to structured databases.
  • Set up automated syncing, deduplication, and validation workflows to ensure clean, reliable data.
  • Replace brittle Zapier automations with robust Supabase functions, Python scripts, or low-code backend workflows.
  • Coordinate with AdOps and backend engineers to ensure smooth data ingestion, transformation, and delivery.
  • Automate repetitive tasks like campaign tagging, data normalization, and monthly sales-ranking feeds.
  • Develop dashboards and automated reports that summarize campaign performance, ROI, CAC, and conversion trends.
  • Use AI models or Python tools to automatically clean data, identify anomalies, and generate narrative summaries.
  • Support leadership with predictive insights (e.g., lead quality trends, campaign saturation).
  • Work closely with the marketing team, analyst, and AdOps to streamline reporting and tracking processes.
  • Partner with engineering to ensure secure, scalable data access.
  • Establish best practices for marketing data governance and documentation.
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