Interview prep

Model Fluency & the AI PM Role Interview Questions

6 subtopics, 126 questions. All 126 carry a written answer.

What changes when the product is probabilistic

  • Name three product decisions that change when a feature's output is probabilistic rather than deterministic.
  • A traditional feature either works or has a bug. Explain why that framing breaks for an LLM feature.
  • What does 'correct' mean for a summarization feature? Give a definition your engineering team could test against.
21 questions · 21 answered

AI PM vs traditional PM vs technical PM

  • List four responsibilities an AI PM holds that a traditional PM does not.
  • Which parts of the classic PM toolkit transfer unchanged to AI products, and which do not?
  • Explain why an AI PM often owns the evaluation set while a traditional PM would not own a test plan.
21 questions · 21 answered

AI PM role variants: platform, applied, infra, research

  • Describe the difference between an applied AI PM and a platform AI PM in terms of who their customer is.
  • What does an AI infrastructure PM own that an applied AI PM does not?
  • How does success get measured differently for a research-adjacent PM versus an applied PM?
21 questions · 21 answered

The AI literacy baseline every PM needs

  • Explain what a token is and why a PM should care about it.
  • Describe the difference between a context window and a model's memory.
  • What is the practical difference between prompting, RAG and fine-tuning for a product decision?
21 questions · 21 answered

Working with ML engineers and researchers

  • How do you write a requirement for a team whose output is a probability distribution?
  • An engineer says the model cannot do that. What questions do you ask before accepting it?
  • Describe how you would run a planning session when effort estimates are genuinely unknowable.
21 questions · 21 answered

Managing stakeholder expectations and AI hype

  • Your CEO saw a demo on social media and wants that feature in six weeks. Structure your response.
  • How do you set expectations about AI capability without sounding like you are blocking?
  • Describe the difference between a demo and a product, using a concrete example.
21 questions · 21 answered