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, 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 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. 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: Health insurance, retirement plans, professional development, and unlimited paid time off! Check out our careers and culture page for more details. Note: Understanding the Different Between AI Automation Specialist and AI Business Systems AI Automation Specialist = Execution-focused operator Builds, maintains, and scales AI-driven automations that make teams faster and processes cheaper today . AI Business Systems Engineer = Systems architect & integrator Designs durable, governed AI systems that become part of C-4’s core business infrastructure . “The Automation Specialist makes us faster this quarter. The Business Systems Engineer makes sure we don’t regret it next year.” AI Automation Specialist AI Business Systems Engineer Owns workflow-level execution Owns system-level design Delivers fast, reliable automations Optimizes services over time Heavy on shipping & iteration Heavy on mapping & judgment Thinks in concrete task chains Thinks in org-wide flows The Vibe at C-4 Analytics: C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

Nice-to-Have: Background in operations/consulting, experience with CRMs/data platforms, light scripting (Python/JavaScript).

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