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AI Business Systems Engineer

Remote / Online - Candidates ideally in
Wakefield, Middlesex County, Massachusetts, 01880, USA
Listing for: C-4 Analytics
Remote/Work from Home position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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. 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.

Flexibility

The AI Business Systems Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:

  • Remote:
    We support remote work arrangements, allowing you to work from the comfort of your own home or any location that enhances your productivity.
  • Hybrid:
    For those who prefer a balance between office and remote work, we offer a hybrid model.
  • We place a high value on local candidates. We are open to considering individuals who have exceptional experience for remote opportunities.
The Gig:
Your Mission
  • AI Visionary:
    Be the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.
  • Workflow Wizard:
    Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions.
  • Systems Architect:
    Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.
  • Hands-On Builder:
    Design and execute game-changing, AI-powered workflows using modern automation tools and APIs.
A Day in the Life
  • 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.
What You Need to Succeed:
The Rare Trifecta

This role requires a combination of all three:

  • Business Process Strength:
    Strong intuition for how a fast-paced organization operates, comfort with senior leaders, and clear communication on goals and tradeoffs.
  • Engineering Mindset:
    Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data structures, and drives relentlessly for reliability and scalability.
  • AI Expertise:
    Deep, hands-on understanding of modern AI models, knowing exactly where AI adds maximum leverage, and experience shipping AI into production workflows.
  • Core Background

    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.
    Hard Qualifiers (Non-Negotiable)
    • 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.
    Soft Qualifiers (Equally Important)
    • Low ego and high ownership.
    • Impatience with unnecessary process and wasted effort.
    • Calm, structured thinking in ambiguous situations.
    • Practical decision-making over "perfect" architecture.
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