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AI Systems & Automation Specialist

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Go-Media
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 125000 USD Yearly USD 85000.00 125000.00 YEAR
Job Description & How to Apply Below

Department:
Operations / Technology

Reports to:

VP of Marketing Type:
Full-time

Location:

Raleigh, NC - on-site (confirm)

About GO Media

GO Media is a specialized marketing agency serving clients across orthodontics, dentistry, med-aesthetics, retail, education, and wellness. We partner with high-growth, regulated brands to build conversion-driven campaigns across digital, print, and experiential channels. Our team is lean, collaborative, and deeply strategic, which means the systems we build matter as much as the work we ship.

About the Role

We're hiring an AI Systems & Automation Specialist to be the technical engine behind how GO Media operates. Where our AI Design Specialist focuses on creative output, this role focuses on the infrastructure underneath it: the automations, data pipelines, and internal tools that let a small team deliver at the scale of a much larger one.

You’ll spend your time finding the manual, repetitive, error-prone parts of how an agency runs - reporting, data reconciliation, asset routing, campaign QA, client deliverables - and replacing them with systems that work reliably without anyone babysitting them. You'll also be our internal scout for what's actually worth adopting from a fast-moving AI landscape, and the person who separates genuine capability from vendor noise.

This is a mid-level role. We're open to recent graduates from engineering, computer science, data, or AI programs who can demonstrate real building ability, as well as candidates with two to four years of experience in software, IT, data analytics, or technical operations. Agency experience is not required. Curiosity, judgment, and a bias toward shipping are.

What You'll Do

Process automation

  • Map how work actually moves through the agency and identify where time is being lost to manual handoffs
  • Build and maintain automations connecting the tools we already use - project management, CRM, ad platforms, file storage, communication
  • Develop internal tools and scripts that eliminate recurring manual work across account, media, and creative teams
  • Own the reliability of what you build: monitoring, error handling, documentation, and graceful failure

Data and reporting

  • Build and maintain data pipelines pulling from ad platforms, analytics, call tracking, and client-side systems
  • Automate recurring client and internal reporting so insight-generation replaces spreadsheet assembly
  • Investigate and resolve data integrity issues - mismatched attribution, broken tracking, inconsistent naming, duplicate records
  • Apply AI and LLM-based approaches to summarization, anomaly detection, classification, and analysis where they genuinely outperform simpler methods

AI tooling and enablement

  • Stay current on AI models, tools, and platforms; evaluate what's worth piloting and what isn't
  • Run structured pilots with clear success criteria rather than open-ended experimentation
  • Train and support the team on adopting new tools, and write the documentation that makes adoption stick
  • Help establish practical internal standards for AI use in a regulated healthcare context - data handling, PHI boundaries, client-approval workflows, disclosure

Creative operations

  • Partner with the AI Design Specialist and creative team to streamline production workflows: asset versioning, review cycles, delivery, and archiving
  • Automate the mechanical parts of creative ops - resizing, format conversion, naming conventions, asset routing, compliance checks
  • Build systems that give the creative team more time on craft and less on logistics

Required

  • Bachelor's degree in computer science, engineering, data science, information systems, or a related technical field - or equivalent demonstrated experience
  • Working proficiency in Python (or a comparable scripting language) for automation and data work
  • Comfort with APIs, webhooks, authentication, and connecting systems that weren't designed to talk to each other
  • SQL and hands-on experience working with real, messy data
  • Practical experience with modern AI tools and LLM APIs, including prompt design and understanding where these tools fail
  • Genuine curiosity about how things work and a track record of building things without being told exactly what to…
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