AI Knowledge & Execution Grounding Specialist

Job Title: AI Knowledge & Execution Grounding Specialist

This person is the architect of the "Ground Truth" that ensures the AI’s advice is high-velocity and hyper-practical.

Role Summary
We are looking for a Knowledge & Execution Grounding Specialist to ensure our AI provides high-growth SMBs with accurate, "ready-to-execute" strategies. You will sit in the Knowledge Team and act as the bridge between our proprietary growth frameworks and the Technical/Product teams. Your mission is to structure our "execution blueprints"—templates, SOPs, financial models, and growth hacks—so the AI retrieves and applies them with 100% factual accuracy. You aren't just managing content; you are managing the logic of execution.

Key Responsibilities

• Content Engineering for RAG: Audit and restructure unstructured data (PDFs, wikis, transcripts) into "AI-ready" formats by optimizing semantic chunking and hierarchical data decoding.
  
• Blueprint Deconstruction: Break down complex growth strategies (e.g., "Scaling Sales Teams" or "Inventory Management") into modular, machine-readable blocks that the AI can accurately recompose for a user’s specific business size and industry.
  
• Operational Metadata Design: Develop a tagging system that accounts for execution constraints. (e.g., Tagging advice by Capital Required, Team Size, or Tech Stack so the AI doesn't suggest a solution the SMB cannot execute).
  
• RAG Strategy Liaison: Partner with the Tech team to define retrieval logic. You decide which "Playbooks" are the primary sources for specific user intents to prevent the AI from giving "generic" internet advice.
  
• Execution Auditing: Conduct "Stress Tests" on AI outputs. If a business owner asks "How do I set up a CRM?", you ensure the AI pulls from our verified partner stack and doesn't hallucinate a random software.
  
• Grounding Quality Assurance: Regularly audit AI outputs for hallucinations and "unfounded" claims. Identify if errors stem from poor source data or technical retrieval failures.
  
• Contextual Guardrails: Help refine the "Safety Logic" for the AI. If an SMB is in a pre-revenue stage, you ensure the grounding layer prevents the AI from suggesting high-burn growth strategies.
  

Required Experience & Skills

• 3–5 Years Experience: Ideally in Management Consulting, Operations, or Business Analysis within the SMB/Startup ecosystem.
  
• AI Grounding Literacy: You must understand how Retrieval-Augmented Generation (RAG) works—specifically how "chunking" and "vector embeddings" impact the quality of a business recommendation.
  
• Process Mapping: Proficiency in tools like Miro, LucidChart, or Notion to map out "Execution Workflows" before they are fed into the AI.
  
• Technical Familiarity & Specific AI Tooling: While this is a Knowledge Team role, you will use JSON, YAML, and SQL as the 'instructional languages' to define how our AI orchestration tools (LlamaIndex or LangChain) interact with our proprietary growth content. You will not write application code, but you will be responsible for structuring our execution blueprints into these formats so the AI can filter, prioritize, and retrieve the exact right 'action step' for an SMB’s specific context (e.g., industry, team size, or revenue stage) without hallucinating.
  
• The "Scrappy" Mindset: A builder who can manually audit a 50-step growth plan and identify exactly where the AI lost the "logic" of the execution.