AI Implementation Specialist - Marketing Automation & CRM Integrations
New
B
Berry Virtual | MedVirtual | AI VirtualMarketing automation
Workable locations: Philippines. India. Honduras. Colombia. MexicoFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonJavascriptRESTful APIsJSON
Requirements
- Demonstrated hands-on experience building and deploying production automation workflows.
- Strong experience with n8n, Make, or similar workflow automation platforms.
- Practical experience integrating external applications through REST APIs and webhooks.
- Experience connecting multiple CRM systems and synchronizing lead or customer data.
- Ability to work with JSON, API authentication, data transformation, and integration troubleshooting.
- Working knowledge of JavaScript or Python for custom automation logic.
- Experience developing automated reporting systems and dashboards.
- Familiarity with databases, Google Sheets, and structured data management.
- Experience with marketing data workflows involving Meta Ads, Google Ads, or comparable advertising platforms.
- Ability to independently research technical documentation, design solutions, and deliver working implementations.
- Stable high-speed internet connection, preferably 25 MBPS or higher, with backup for power or service interruptions.
- Own a PC or laptop meeting the listed hardware and operating-system requirements, plus a headset or earphones with noise cancellation, a webcam, and a quiet designated workspace.
Responsibilities
- Design, develop, test, and deploy automation workflows using n8n, Make, or comparable platforms.
- Build integrations between advertising platforms, CRM systems, databases, and reporting tools.
- Implement data synchronization, error handling, monitoring, and troubleshooting.
- Own projects from requirements gathering through production deployment.
- Build and maintain integrations using REST APIs, webhooks, and custom connectors.
- Synchronize lead statuses, pipeline stages, consultation outcomes, and conversion data across CRM systems.
- Automate extraction of advertising spend, lead volume, and campaign performance data from Meta Ads and Google Ads.
- Consolidate campaign and CRM information into databases, Google Sheets, and reporting dashboards.
- Build dashboards tracking CPL, CAC, conversion rates, campaign spending, and lead quality.
- Audit workflows, implement AI-assisted solutions, document implementations, develop SOPs, and train internal users.
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