Hiring: Learning & Knowledge Systems Lead Company: Harper Location: San Francisco, CA Job Posted Time: 2026-09-03 07:38:03 Employment Type: Part-time / On-site Target Skills & Keywords : Information Architecture, Notion, RAG, REST, Slack About the job Experience: •8 years in a relevant field (see above). Required Skills: •Two tracks, running in parallel, at the intersection of Operations, Engineering, and RevOps. •Build the operating memory. •Embed with sales, intake, service, placements, and renewals. Sit with operators, listen to calls, shadow workflows, and document what people "just know." •Turn transcripts, Slack threads, Looms, and one-off explanations into source-of-truth docs, decision logs, playbooks, process maps, glossaries, and system-boundary docs (what each internal system does, where one stops and the next begins, and what gets misread). •Graduate stabilized rules into skills the agents can call, and partner with engineering on refresh automations so docs stay alive instead of going stale. •Hunt the edge cases — reworks, escalations, stale quotes, market follow-ups, binder/payment gaps, customer confusion — and write them down before they bite again. •Get The Company To Run Against It. •When a rich AI-generated playbook lands, distill it into an executable plan: named owners, the first three moves, a rollout cadence and date. The plan doesn't run itself; you make it run. Qualifications: •An exceptional writer and synthesizer. You can take a messy transcript to a clear operating doc, and a clear doc to something a team actually executes against. •Genuinely curious about how organizations work, and happy to sit with operators to find out. •Structured but not bureaucratic. You care whether documentation changes behavior, not whether it looks polished. •Able to operate in chaos without becoming chaotic. Low-ego, persistent, and allergic to "someone should probably document that." •3–8 years in a relevant field (see above). •Exceptional written communication and strong information-architecture instincts. •Real AI-tool fluency in practice: Cursor, Claude Code, MCP servers, agent memory files, Granola, structured prompting, AI-assisted synthesis. •Demonstrated ability to interview stakeholders, extract operational detail, and turn messy conversations into clear decisions and source-of-truth docs. •A track record of running an adoption rollout that actually changed how a team worked. •Comfort in a fast-moving, ambiguous startup. Based in San Francisco or willing to relocate. Compensation: •$110,000 - $170,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!