AI Business Systems Engineer (HYBRID)

C-4 Analytics; Wakefield (MA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Unlimited paid time off

Job summary

C-4 Analytics, located in Wakefield, MA, is hiring an AI Business Systems Engineer to apply AI across various business functions. Candidates should have over 4 years of experience building cross-functional systems, strong communication skills, and proficiency in modern AI models and automation platforms. The position offers a competitive salary between $100,000 and $130,000 per year, alongside benefits including health insurance and unlimited paid time off. A hybrid working model is available.

Qualifications

• 4+ years of experience building cross-functional business systems.
• Strong intuition for organizational operations and comfort with senior leaders.
• Deep understanding of modern AI models with experience in production workflows.

Responsibilities

• Apply AI across Sales, Marketing, Ops, and Finance.
• Map processes and eliminate manual effort with AI solutions.
• Own projects from concept to production ensuring business relevance.

Skills

Business Process Strength

Engineering Mindset

AI Expertise

Excellent communication

Automation platforms

APIs

Python/JavaScript scripting

Job description

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, market share, and reduce cost per acquisition. We are 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.

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. This allows you to divide your time between working in the office and remotely.
• Local candidates are highly valued. We are open to considering individuals with exceptional experience for remote opportunities. Even if you do not meet every qualification, we encourage you to apply.

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:

1. Business Process Strength: Strong intuition for how a fast‑paced organization operates, comfort with senior leaders, and clear communication on goals and trade‑offs.
2. Engineering Mindset: Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data structures, and drives relentlessly for reliability and scalability.
3. 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, with a 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.

Specific Skills & Expertise

• 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).

What This Role Is NOT

• Not a research or theory role—this is about building.
• Not a departmental analyst—this is cross‑functional.
• Not a pure software engineering role—this is business‑driven systems building.

Salary

$100,000 to $130,000 USD per year (competitive and negotiable). Benefits include health insurance, retirement plans, professional development, and unlimited paid time off.

Difference Between Roles

AI Automation Specialist: Execution‑focused operator who builds, maintains, and scales AI‑driven automations that make teams faster and processes cheaper today.

AI Business Systems Engineer: Systems architect & integrator who designs durable, governed AI systems that become part of C‑4’s core business infrastructure.