AI Automation and Systems Manager

AI Automation & Systems Manager

• Working Hours: 8 hours, from 4 PM till 12 AM Beirut Time
• Working Days: 5 days a week
• Days Off: Saturday and Sunday
• Work Location: Fully-remote, you can work from anywhere
• Salary Range: 2,000 -3,000 USD per month

We’re hiring an AI Automation & Systems Manager to build and maintain the AI workflows, integrations, automated reporting, and internal systems that improve efficiency across the ecommerce team.

You’ll own the technical infrastructure behind smarter workflows—connecting advertising, website, customer, and business data; building automated reporting and Slack alerts; identifying operational bottlenecks; and creating systems that allow the team to surface problems and act on them faster.

This is a highly hands-on role. You’ll be expected to take a rough brief, understand the underlying business problem, determine the best technical solution, build it, troubleshoot it, and maintain it independently. If you’re a technical builder who understands ecommerce and enjoys combining APIs, coding, AI, automation, and data to solve real business problems, you’ll feel right at home.

Qualifications

• Years of Experience: 3–5+ years in technical automation, software development, systems engineering, ecommerce technology, or a closely related field.
• CRM Tool: Not required.
• Software/Tools: Strong experience with APIs, coding, AI workflows, automation platforms, Slack, Notion, Shopify, Triple Whale, and related ecommerce tools.
• Ecommerce Experience: Required. Proven experience building technical systems, integrations, or automations within an ecommerce environment.
• Industry Knowledge Required: DTC ecommerce, Shopify, performance marketing, ecommerce analytics, and operational automation.

Candidates must be able to demonstrate a workflow, automation, or internal system they have built for another company .

The ideal candidate should be able to explain:

• The business problem the system solved.
• The tools, APIs, and technologies used.
• How the workflow or system was architected.
• What they personally built.
• How the system was tested and maintained.
• The measurable impact it had on the business.