# AI Operations Specialist - AI Agents & Automation

**Company:** [Proper](http://jobs.workable.com/companies/mtMNHaRbeR9tHWxvLonEZk.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/bd438db4-cdad-490c-8dfa-e47ae0c2f23f)

## Description

### Position Overview

We are hiring an **AI Operations Specialist** to help build and scale AI-driven workflows across a fast-growing operations organization.

This is a hands-on builder role for someone who can rapidly design, test, and deploy AI agents, automations, and reusable “skills” using tools like **Claude, Zapier, OpenAI, n8n, Make, and related AI platforms**.

The ideal candidate is highly practical, fast-moving, and comfortable turning messy business processes into scalable AI-enabled workflows. This person should be able to work independently, identify automation opportunities, and quickly build working solutions.

## Requirements

### AI Agent & Skill Building

-   Build AI agents, automations, and reusable “skills” that reduce manual work
-   Rapidly prototype and deploy workflow automations using Claude, Zapier, n8n, Make, OpenAI, and similar tools
-   Create AI-powered processes that support operations, administration, research, reporting, and internal workflows
-   Integrate AI tools with existing business systems through APIs, webhooks, and automation platforms

### Workflow Automation

-   Identify repetitive manual workflows that can be automated or AI-assisted
-   Map business processes and redesign them into scalable automated workflows
-   Build repeatable systems that can be reused across teams and departments
-   Improve speed, accuracy, and consistency of operational processes

### AI Implementation & Optimization

-   Test, evaluate, and improve AI agents and automations based on output quality and reliability
-   Troubleshoot automation failures and improve workflow performance
-   Document workflows, prompts, logic, and system instructions clearly
-   Stay current on new AI tools and recommend practical ways to implement them

### Cross-Functional Support

-   Work with business and operations teams to understand pain points and translate them into AI solutions
-   Train non-technical team members on how to use AI tools and workflows
-   Serve as an internal AI automation expert and help drive adoption across the organization

### Required Qualifications

-   3+ years of experience in AI automation, workflow automation, operations, technical implementation, or related roles
-   Strong hands-on experience with **Claude**
-   Strong hands-on experience with **Zapier**
-   Experience building AI agents, automations, or reusable AI workflows
-   Familiarity with tools such as OpenAI, ChatGPT, n8n, Make, Airtable, Google Workspace, APIs, webhooks, or similar platforms
-   Ability to quickly turn business requirements into working AI-enabled solutions
-   Strong process-mapping and problem-solving skills
-   Excellent documentation and communication skills
-   Comfortable working independently in a fast-moving environment

### Preferred Qualifications

-   Experience building Claude skills, custom GPTs, AI agents, or agentic workflows
-   Experience with API integrations and webhook-based automations
-   Experience using no-code/low-code automation platforms
-   Basic scripting experience with Python or JavaScript
-   Experience supporting U.S.-based teams or distributed teams
-   Background in operations, business systems, productivity automation, or internal tools

### Interview Requirement

As part of the interview process, candidates must submit or walk through **an example of a skill, agent, or automation you have personally built**.

The example should ideally include:

-   What problem it solved
-   Tools used
-   Workflow or agent logic
-   Business impact or time saved
-   Screenshots, demo, Loom video, or live walkthrough if available

### What Success Looks Like

-   AI agents and automations are built quickly and used by the team
-   Manual operational work is meaningfully reduced
-   Reusable workflows and skills are documented and scalable
-   Teams adopt AI tools more effectively
-   The company develops a strong foundation for AI-enabled operations