AI PM interview questions
AI Launch, Rollout and Operations Interview Questions
Taking an AI feature from prototype to production: pilots, phased rollouts, model upgrades and migrations, and what to do when an AI feature fails in production.
- 110 questions
- 5 subtopics
- Model answer for every question
AI Launch, Rollout and Operations Subtopics
Prototyping with LLMs and Rapid POCs
How to build a working AI prototype in a day, when a Wizard of Oz prototype beats a real model, and how to stop a prototype setting expectations the product cannot meet.
22 questions
AI Pilots: From POC to Production
How to run a pilot that proves something: success criteria agreed up front, choosing pilot customers, and the work that sits between a successful pilot and a production launch.
22 questions
AI Rollout Strategy and Phased Launches
How to launch an AI feature safely: canary percentages, phased rollouts to large user bases, and why passing evals is not a reason to ship to everyone on day one. Asked of AI PMs and AI engineers.
22 questions
LLM Model Migration and Version Changes
What to do when the model behind your product changes: why a better model can still be a bad migration, planning for a deprecation, and what to tell users when behaviour shifts.
22 questions
AI Incident Management
What counts as an incident for an AI feature, how to define severity for quality problems, and how to choose between switching a feature off and degrading it. Relevant to AI PMs and AI engineers on call.
22 questions
