AI Implementation Specialist - Marketing Automation & CRM Integrations

We are seeking a hands-on AI Implementation Specialist with strong technical experience in workflow automation, API integrations, CRM systems, and marketing data infrastructure. This role requires someone who can independently identify operational challenges, architect technical solutions, build integrations, and deploy reliable automation workflows. The primary objective is to automate lead tracking, advertising spend reporting, CRM data synchronization, and conversion attribution across Meta Ads, Google Ads, and multiple client CRM platforms. The ideal candidate combines technical implementation expertise with an understanding of digital marketing operations, lead generation funnels, and campaign performance metrics. Key Responsibilities 1. End-to-End Automation Development Independently design, develop, test, and deploy automation workflows using platforms such as n8n, Make, or comparable solutions. Build integrations between advertising platforms, CRM systems, databases, and reporting tools. Implement reliable data synchronization, error handling, monitoring, and troubleshooting. Own projects from initial requirements gathering through production deployment. 2. API & CRM Integrations Build and maintain integrations using REST APIs, webhooks, and custom connectors. Integrate platforms including HubSpot, Clio Grow, and other client CRM systems. Retrieve and synchronize lead statuses, pipeline stages, consultation outcomes, and conversion data. Design alternative integration approaches when native integrations are unavailable. Handle authentication, pagination, API limitations, and data mapping. 3. Marketing Data Automation Automate the extraction of advertising spend, lead volume, and campaign performance data from Meta Ads and Google Ads. Consolidate campaign and CRM information into centralized databases, Google Sheets, or reporting dashboards. Build automated workflows to monitor lead progression from initial acquisition through signed-client conversion. Improve data accuracy and reduce manual reporting. 4. Reporting & Analytics Build automated dashboards tracking CPL, CAC, conversion rates, campaign spending, and lead quality. Develop reporting solutions that provide visibility into client acquisition performance. Connect advertising performance with downstream CRM outcomes. Identify data inconsistencies and implement validation processes. 5. AI Implementation & Process Optimization Audit existing workflows and identify opportunities for AI-powered automation. Evaluate AI platforms and determine their suitability based on business impact, reliability, and cost. Implement AI-assisted solutions where they provide measurable operational value. Document technical implementations, develop SOPs, and train internal users.