Technical Project Manager (AI Systems)

Huzzle.com; United States; Remote; MXN 291,029 - 465,646; Full time

Benefits offered by this job

Competitive monthly compensation: $1500 - $2400 USD/month

Fully remote role

Long-term engagement with room for growth

Job summary

A leading AI-driven consulting firm is hiring a Remote Operations / Technical Project Manager (AI Systems) to oversee client operations and manage automation workflows. You will serve as a bridge between clients and technical teams, ensuring successful deployment of AI systems. Required qualifications include experience in project management, familiarity with automation platforms, and strong communication skills. The role offers a competitive salary range of $1500 - $2400 USD/month and the flexibility of fully remote work.

Qualifications

• Proven experience in operations, project management, or AI/automation systems.
• Hands-on experience with automation tools.
• Familiarity with LLMs and prompt engineering basics.
• Ability to manage client expectations effectively.

Responsibilities

• Manage AI-powered workflows using automation tools.
• Design and refine prompts using LLM tools.
• Lead client onboarding and gather requirements.
• Troubleshoot issues and ensure timely resolution.

Skills

Project management

AI/automation systems

Client communication

Prompt engineering

Organizational skills

Automation platforms

English communication

Tools

Go High Level

n8n

Zapier

OpenAI

Claude

Job description

Job Type: Full-time

Location: Remote (Working US Hours)

Start Date: Immediate

About The Company

Our client is an innovative AI‑driven company focused on building and deploying "AI employees" that automate business workflows and enhance operational efficiency. They specialize in integrating cutting‑edge automation tools and large language models (LLMs) to streamline client operations across multiple industries.

Job Summary

We’re hiring a Remote Operations / Technical Project Manager (AI Systems) to oversee client operations, manage AI‑driven workflows, and ensure seamless deployment of automation systems. This role blends project management, client success, and light technical execution, making it ideal for candidates with experience in AI tools, automation platforms, or software systems.

You’ll act as the bridge between clients and the technical team—ensuring AI systems are properly implemented, optimized, and continuously improved.

Key Responsibilities

• Set up and manage AI‑powered workflows and automations using tools like Go High Level, n8n, Zapier, or similar platforms.
• Make iterative improvements to existing automation systems and processes.
• Design and refine prompts using LLM tools such as OpenAI (ChatGPT) and Claude.
• Lead client onboarding, gather requirements, and translate them into actionable workflows.
• Manage client communication, feedback loops, and ongoing support.
• Troubleshoot issues, prioritize fixes, and ensure timely resolution.
• Collaborate closely with AI Engineers to implement more advanced solutions.
• Track project timelines, deliverables, and performance metrics.

Requirements

• Proven experience in operations, project management, or AI/automation systems.
• Hands‑on experience with tools like Go High Level, n8n, Zapier, or equivalent automation platforms.
• Familiarity with LLMs (e.g., OpenAI, Claude) and prompt engineering basics.
• Strong organizational and project management skills.
• Excellent English communication skills (written and verbal).
• Experience in client‑facing roles with the ability to manage expectations effectively.
• Ability to work remotely with time zone overlap as required.
• Bonus: Background in SaaS, AI startups, or technical operations.

Benefits

💰 Competitive monthly compensation: $1500 - $2400 USD/month (based on experience and qualifications)

🌎 Fully remote role aligned to U.S. Eastern Time (EST) hours

🚀 Lead key technology initiatives with a cloud‑first IT consulting firm

📈 Long‑term engagement with ongoing projects and room for growth

🤝 Work alongside experienced teams in cybersecurity, cloud, and managed IT