AI Product Manager & Prompt Architect

Catalyst Growth Systems; Boca Raton (FL); On-site; USD 90,000 - 150,000; Full time

Job summary

Catalyst Growth Systems is seeking an AI Product Manager/Prompt Manager to lead the development and optimization of our AI-powered solutions. You will craft effective prompts, design user experiences, and ensure our AI products meet client needs and business objectives.

The role involves collaboration with data scientists and engineers, defining roadmaps, and analyzing metrics to continuously improve AI performance. Stay current with LLMs and establish best practices across teams.

Qualifications

• 3+ years of experience in product management, UX design, or related field.
• Demonstrated experience with LLMs and prompt engineering techniques.
• Strong understanding of AI capabilities, limitations, and ethical considerations.
• Excellent writing and communication skills with attention to detail.
• User-centric mindset with ability to translate business needs into effective prompts.
• Experience with AI tools like ChatGPT, Claude, or similar LLM platforms.

Responsibilities

• Design, test, and refine AI prompts to achieve specific business outcomes
• Collaborate with data scientists and engineers on AI model integration
• Define product requirements and roadmaps for AI solutions
• Analyze user feedback and metrics to continuously improve AI performance
• Stay current with the latest developments in LLMs and prompt engineering
• Develop guidelines and best practices for prompt engineering across teams

Skills

Product management

UX design

Prompt engineering

Technical writing

Communication

Tools

ChatGPT

Claude

LLM platforms

Job description

Catalyst Growth Systems is seeking an AI Product Manager/Prompt Manager to lead the development and optimization of our AI-powered solutions. You will craft effective prompts, design user experiences, and ensure our AI products meet client needs and business objectives.

The role involves collaboration with data scientists and engineers, defining roadmaps, and analyzing metrics to continuously improve AI performance. Stay current with LLMs and establish best practices across teams.