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.
Skills Required
- 3-5 years experience in management consulting, operations, or business analysis
- Understanding of Retrieval-Augmented Generation (RAG)
- Proficiency in process mapping tools such as Miro, LucidChart, or Notion
- Familiarity with JSON, YAML, and SQL
What We Do
Our mission is to accelerate job growth in emerging economies and enable millions to earn a family-sustaining wage and lead a dignified life.
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