AI Business Systems Engineer

C-4 AnalyticsWakefield, MA
7d$100,000 - $130,000Remote

About The Position

AI Business Systems Engineer (REMOTE) – C-4 Analytics 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, REMOTE 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 Gig: Your Mission 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. 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.

Requirements

  • Strong intuition for how a fast-paced organization operates, comfort with senior leaders, and clear communication on goals and tradeoffs.
  • Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data structures, and drives relentlessly for reliability and scalability.
  • Deep, hands-on understanding of modern AI models, knowing exactly where AI adds maximum leverage, and experience shipping AI into production workflows.
  • Typically 4+ years of professional experience owning systems end-to-end. Demonstrated history of shipping solutions that other teams rely on daily.
  • 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.
  • Proven track record in building cross-functional systems
  • Strong familiarity with AI models
  • Experience with automation platforms and APIs
  • Excellent communication

Nice To Haves

  • Low ego and high ownership.
  • Impatience with unnecessary process and wasted effort.
  • Calm, structured thinking in ambiguous situations.
  • Practical decision-making over "perfect" architecture.
  • Background in operations/consulting
  • Experience with CRMs/data platforms
  • Light scripting (Python/JavaScript).

Responsibilities

  • Be the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond.
  • Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions.
  • Proactively propose and translate ambiguous business needs into structured, end-to-end system designs.
  • Design and execute game-changing, AI-powered workflows using modern automation tools and APIs.
  • Apply AI for decision support, content generation, classification, and data enrichment.
  • Ensure internal systems (CRM, data platforms, cloud tools) are seamlessly connected.
  • Take projects from lightbulb moment to production, ensuring reliability and business relevance.
  • Serve as the internal expert on the latest AI models and tooling.

Benefits

  • Health insurance
  • Retirement plans
  • Professional development
  • Unlimited paid time off!

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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