Knowledge Engineer (AI)

Location: On-site in San Francisco, United States; relocation to San Francisco is required if not already based there.

Salary: $110,000–$170,000 per year, plus performance bonuses and equity.

Company

hirify.global is an AI-native commercial insurance company rebuilding insurance operations as software.

What you will do

• Embed with sales, intake, service, placements, and renewals teams to extract operational knowledge from calls, workflows, transcripts, Slack threads, and other sources.
• Create source-of-truth documentation, decision logs, playbooks, process maps, glossaries, and system-boundary documentation.
• Convert stabilized rules into agent-callable skills and partner with engineering on documentation refresh automations.
• Turn AI-generated playbooks into executable plans with owners, rollout dates, and adoption cadences.
• Build onboarding paths and setup scripts for Cursor, Claude Code, and the company harness, then run cohort rollouts and track adoption.
• Convert recurring problems into playbooks, QA checks, agent skills, or product requirements.

Requirements

• 3–8 years of experience in a relevant field such as enablement, research, ethnography, knowledge management, technical writing, product operations, implementation, or startup operations.
• Exceptional written communication and strong information-architecture skills.
• Practical fluency with Cursor, Claude Code, MCP servers, agent memory files, Granola, structured prompting, and AI-assisted synthesis.
• Ability to interview stakeholders, extract operational detail, and create clear decisions and source-of-truth documentation.
• Experience running an adoption rollout that changed how a team worked.
• Comfort operating in a fast-moving, ambiguous startup environment.

Nice to have

• Experience at an AI-native or developer-tools company, or authoring Claude/agent skills.
• Experience with RAG/search systems, data labeling, knowledge-system evaluations, human-in-the-loop QA, or living-document automation.
• Experience translating operator feedback into product requirements, or working with taxonomy, metadata, and content governance.
• Background in insurance, fintech, B2B services, or another high-volume operational environment.

Culture & Benefits

• Fully in-office work in San Francisco; remote work is not available.
• Fast-paced environment with long Monday–Friday in-office hours and high standards.
• Uber commuter benefits and free gym membership.
• Breakfast, lunch, dinner, snacks, drinks, and coffee provided daily.
• Health, dental, and vision insurance, plus performance bonuses and equity.

Hiring process

• One to two screening calls focused on mission, pace, and role fit.
• On-site super day involving operators, transcript review, product and engineering meetings, and a demonstration of problem-solving approach.