Learning & Knowledge Systems Lead
Core
Extracting expert human judgment from operators to build AI-legible knowledge (docs, decision logs, skills) that powers the company's AI agents and workflows.
Role type
Senior Knowledge Engineering Lead (AI-native operations)
Builds
Operating memory, decision logs, playbooks, process maps, glossaries, and agent skills
Domain
AI-native commercial insurance / Knowledge Engineering
Deliverable
production ML models | product features
Required skills
Knowledge engineering, information architecture, stakeholder interviewing, operational documentation, AI-assisted synthesis, adoption rollout management
Preferred skills
AI-native enablement, qualitative research, ethnography, technical writing, RAG systems, taxonomy governance
Technologies
Cursor, Claude Code, MCP servers, agent memory files, Granola, structured prompting
Responsibilities
Embed with operators to document tacit knowledge; convert transcripts and chats into source-of-truth docs; graduate rules into callable agent skills; distill AI playbooks into executable plans; build onboarding paths and setup scripts; run cohort rollouts and drive adoption; shape meetings to produce useful artifacts.
Seniority
Senior, hands-on IC
