AI Implementation Associate

Key Responsibilities:

1. Audit every team’s workflow. Sit with customer care, accounts, ops, fleet, marketing, etc. Understand what they actually do day-to-day, where time goes, where mistakes happen, where decisions get made. You will spend the first 30–45 days mostly listening and mapping.
2. Identify high-value AI implementations. Not “let’s add a chatbot.” Specific, measurable problems where AI changes the cost, quality, or speed of output. Write a one-pager per initiative with the problem, the proposed solution, expected impact (with numbers), and effort.
3. Build and deploy. Use Claude Code, Claude Cowork, Claude agents via API, or other tools to actually ship the solution. Working systems used by the team in production, not pilots that get abandoned after a demo.
4. Train the team to use what you build. Documentation, walkthroughs, hand-holding, internal sessions. The implementation is only successful if the team uses it on a Monday morni...