AI Automation Specialist (HYBRID)

C-4 Analytics•Wakefield, MA

1d•Hybrid

About The Position

C-4 Analytics is seeking an AI Automation Specialist to join their team in Wakefield, MA. This role is hybrid, requiring a minimum of three days per week in the office. The specialist will act as a cross-functional builder and technical thought partner, identifying business process bottlenecks and implementing practical automations using AI, APIs, and no-code/low-code platforms. The role involves end-to-end implementation, working directly with stakeholders without needing the core engineering team. C-4 Analytics is a fast-growing digital marketing company focused on helping automotive dealerships increase sales and market share.

Requirements

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 skills.
Strong intuition for how a fast-paced organization operates.
Comfort with senior leaders.
Clear communication on goals and tradeoffs.
Thinks in systems (inputs/outputs/failure modes).
Fluent in APIs and data structures.
Drives relentlessly for reliability and scalability.
Deep, hands-on understanding of modern AI models.
Knows exactly where AI adds maximum leverage.
Experience shipping AI into production workflows.

Nice To Haves

Background in operations/consulting.
Experience with CRMs/data platforms.
Light scripting (Python/JavaScript).

Responsibilities

Apply AI across Sales, Marketing, Ops, Finance, and beyond.
Map processes, identify bottlenecks, and eliminate manual effort with AI solutions.
Propose and translate business needs into structured, end-to-end system designs.
Design and execute AI-powered workflows using automation tools and APIs.
Apply AI for decision support, content generation, classification, and data enrichment.
Integrate internal systems (CRM, data platforms, cloud tools).
Take projects from concept to production, ensuring reliability and business relevance.
Serve as the internal expert on the latest AI models and tooling.