AI & Technical question
How technically deep are you? Describe a project where you had a large impact on technical direction. Draw the diagram of a system you are familiar with (in as much detail).
- AI & Technical
- Hard
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What this question tests
Tests whether a PM can go deep enough with engineers to influence real technical trade-offs, not just manage a roadmap from the outside.
How to approach it
- Pick one project where you drove an actual technical decision, such as an architecture choice, a build-versus-buy call, or a data pipeline redesign, not just a feature launch.
- Set up the context briefly: the system's scale and constraints, and why a technical trade-off mattered to the business outcome.
- Describe your specific contribution: which engineering options you compared and why one won.
- Name the actual trade-off, such as latency versus cost or consistency versus availability, and the reasoning behind the recommendation.
- State the outcome with a concrete metric, such as latency reduced, cost cut, or incident rate down.
- Close with what you would approach differently with hindsight.
What a strong answer includes
- Names a real, specific technical trade-off instead of a vague worked closely with engineers.
- Shows enough understanding of the engineering reasoning to push back or ask the right question, not just relay a decision.
- Ties the technical choice to a business metric, not just that it shipped.
- Is honest about the limits of personal technical depth rather than overclaiming.
Common mistakes
- Describing project management, timelines and standups, instead of an actual technical decision.
- Using buzzwords without explaining the underlying trade-off.
- Claiming credit for a technical call an engineer actually made and the PM just approved.
Likely follow-up questions
- What would you have done if engineering disagreed with your recommendation?
- How did you validate the technical approach was right before committing?
- What's a technical mistake you made and what did you learn?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 1: Foundations: the model and the decisions it forces on you
- Chapter 8: Evals: define good and make the number defensible
- Chapter 6: Agents and agentic architecture