This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.

Our client is a fast-growing e-commerce company that buys, bundles, and resells merchandise online. The company operates with a lean, distributed team and uses a combination of a core commerce platform, QuickBooks, Google Workspace, SharePoint, and custom-built internal systems to support day-to-day operations.

The company is looking to move from scattered, one-off AI experimentation toward AI automation that is systematically integrated into how the business operates.

Role Overview

The AI Workflow Specialist will identify, prioritize, build, and implement AI-powered automations across accounting, purchasing, operations, customer service, marketing, catalog management, and reporting.

Reporting directly to the founder, this person will initially work with each department to understand existing workflows, identify friction and repetitive work, and develop a prioritized roadmap for automation.

This is not a traditional software engineering role. The AI Workflow Specialist will primarily use modern AI coding assistants such as Claude Code to design, build, and ship practical internal tools and automations. The role requires strong business judgment, the ability to work with loosely defined problems, and end-to-end ownership from workflow audit through implementation and adoption.

Location

Fully Remote | 9:00 AM - 5:00 PM EST

Key Responsibilities

Process & Systems Automation

• Audit manual workflows across departments and identify opportunities for AI-powered automation.
• Automate accounting workflows, beginning with credit card reconciliation.
• Build a consolidated reporting layer for data currently distributed across 7–8 different sources.
• Automate invoice reconciliation between the company’s order management software and QuickBooks.
• Identify and prioritize additional automation opportunities based on business impact.

AI-Enabled Customer Support

• Own and continuously improve the existing AI-powered support ticketing agent.
• Support a system that handles multiple auto-forwarded inboxes and generates responses using an internal knowledge library.
• Expand the support agent’s knowledge library.
• Tune the AI agent to improve its auto-response success rate over time.

Catalog & Content Automation

• Use AI tools to clean and maintain a product catalog containing tens of thousands of SKUs.
• Identify and correct formatting issues, inconsistencies, and errors at scale.
• Build repeatable tools or AI agents that accelerate product listing creation and ongoing catalog maintenance.

Reporting & Decision Support

• Connect sales history and inventory data to improve purchasing and reorder decisions.
• Develop reporting that provides visibility into what products sell, how quickly they sell, and when inventory should be reordered.
• Surface and prioritize new automation opportunities as they are identified across departments.

AI Adoption & Enablement

• Serve as a resource for non-technical team members looking to solve business problems using AI.
• Build AI-powered solutions for internal teams or help team members learn how to use AI to address their own workflows.
• Use modern AI coding assistan