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AI Summary
As an AI Product Associate, you will scope, design, and structure new product ideas into clear, testable flows and MVPs. You will also analyze product performance and identify opportunities for improvement.
About this role:
As an AI Product Associate, you’ll work at the intersection of AI systems, product design, and automation - turning ideas into scalable internal tools and user-facing experiences. You’ll scope products end-to-end, build MVPs, automate workflows using LLMs and n8n, and constantly experiment to improve how products are built and delivered.
Roles & Responsibilities:
- Scope, design, and structure new product ideas into clear, testable flows and MVPs.
- Use LLMs and AI tools to accelerate product thinking, research, and decision-making.
- Build lightweight automations and internal tools using n8n and LLM APIs.
- Design and visualize product logic, edge cases, and user journeys through Figma or flow maps.
- Analyze product performance and identify opportunities to improve speed, clarity, or outcomes.
- Write concise PRDs, experiment notes, and documentation that capture product logic and reasoning.
- Continuously explore new AI models, plugins, and frameworks to enhance product workflows.
Ideal Persona:
- Use ChatGPT/Gemini for 10+ hours a week, have at least one active AI subscription
- Has built at least 5+ projects (App, Website, Prototypes, ChatBots) and at least 1-2 projects around the same topic.
- Knows in and out of AI, can create automated workflows
- Has a habit of documenting/recording conversations and thoughts (or has a lot of notes within their notes app)
- Has vibe-coded at least 2+ projects and uses tools like Cursor/Claude Code/GitHub Co-Pilot
- Can read & understand code, and knows basics of coding - Variables, Functions, Classes etc.
Skills:
- LLM Proficiency & Prompt Engineering - Understands when to “humanize” vs. “automate.”
- Automation (n8n) - Hands-on with n8n for workflow automation.
- Learning & Adaptability - Learns new tools and frameworks extremely fast; self-driven to explore new AI, automation, and product systems to improve workflows.
- Product Thinking - Can scope products from idea to MVP, mapping user flows, edge cases, and second-order effects of product logic.
- Design Execution - Comfortable using Figma or Canva for quick prototypes, visual flows, and journey mapping.
- Data Analysis - Skilled at SQL, deep research using tools like Perplexity, Gemini, and ChatGPT.
Technical & Systems Understanding
- Understands how frontend, backend, APIs, LLMs, databases, and servers interact; can write or edit lightweight code (Python/JS/SQL) and use tools like Claude Code, Cursor, or GitHub Copilot.
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