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.