AI Business Systems Engineer

AI Business Systems Engineer - Wakefield, MA – C-4 Analytics

The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week.

C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for an AI Business Systems Engineer, Wakefield, MA to serve as a cross-functional builder and thought partner for applying AI across the company.

This is a business-first role for someone who deeply understands how organizations operate, can identify high-leverage opportunities for automation and intelligence, and has the technical fluency to design and implement solutions end-to-end.

The ideal candidate combines strong business judgment, an engineering mindset, and an expert-level understanding of modern AI capabilities.

If you are unable to complete the application due to a disability, contact us to ask for accommodation or an alternative application process.

• The AI Visionary:
  Be the go‑to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.
• The Workflow Wizard:
  Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions.
• The Systems Architect:
  Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.
• The Hands-On Builder:
  Design and execute game-changing, AI-powered workflows using modern automation tools and APIs.

• Build smarter solutions:
  Apply AI for decision support, content generation, classification, and data enrichment.
• Integrate systems:
  Ensure internal systems (CRM, data platforms, cloud tools) are seamlessly connected.
• Own the solution:
  Take projects from lightbulb moment to production, ensuring reliability and business relevance.
• Stay current:
  Serve as the internal expert on the latest AI models and tooling.

This role requires a combination of all three:

We are looking for hands-on experience in real, imperfect operating environments.

• Experience:
  
  Typically 4+ years of professional experience owning systems end-to-end. Demonstrated history of shipping solutions that other teams rely on daily.
• We Value:
  Consulting roles with implementation responsibility, internal tools/business systems teams, and experience in startup/scale-up environments.
• We Are Not Seeking:
  Pure ML research profiles, AI “evangelists” without execution depth, or product managers who do not build/implement.

• Experience building cross‑functional business systems, not isolated tools.
• Ability to go from whiteboard concept to live, production workflow.
• Focus on business impact and ROI, not novelty for its own sake.
• Comfort pushing back on weak ideas, even with senior stakeholders.

• Low ego and high ownership.
• Impatience with unnecessary process and wasted effort.
• Calm, structured thinking in ambiguous situations.
• Practical decision‑making over “perfect” architecture.

• Must-Have:
  Proven track record in building cross‑functional systems, strong familiarity with AI models, experience with automation platforms and APIs, and excellent communication.
• Nice-to-Have:
  Background in operations/consulting, experience with CRMs/data platforms, light scripting (Python/JavaScript).

• Not a…