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AI Automation Engineer (Marketing)

$85k - $115k
Full-time

Tax Relief Advocates

About TRA

At Tax Relief Advocates (TRA) , we are dedicated to serving our clients and community with integrity , empathy , and a client-first approach. Our vibrant, energetic culture balances hard work with a passion for making a meaningful impact nationwide. Our mission is to guide individuals through the tax resolution process with trust , education , and care , delivering solutions that transform lives.

About the Role

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.).

Core Responsibilities

Data Infrastructure & Integration

  • 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.

Automation & Workflow Optimization

  • 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.

AI-Driven Reporting

  • 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).

Collaboration & Continuous Improvement

  • 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.

Qualifications

  • 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.

Why Join Us?

At TRA, you’ll join a high-impact, forward-thinking team revolutionizing tax resolution through innovative AI and automation. You’ll tackle exciting QA challenges, collaborate with top talent, and play a central role in ensuring client-first solutions at scale. We’re not just building smarter systems—we’re creating a better experience for every person who turns to us for help. Join us to lead TRA’s AI-driven QA automation strategy and shape the future of how we grow, connect, and serve.

Location: Irvine, CA - onsite

Compensation: Up to $85,000 - $115,000 depending on experience

Position Type: Full-time, permanent

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. is an Equal Opportunity Employer. We value diversity and encourage all qualified individuals to apply.

Vacancy posted 2 days ago
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