Prepare for every round of the FDE interview.

Lessons, model answers and an AI customer who talks back, for forward deployed engineer roles at AI companies and enterprise software and data firms.

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Decomposition case10:00
Building permits take monthsThe customer is a city. The mayor has promised an AI review tool.
  1. Which permits does the mayor’s promise cover?

  2. Deputy mayor

    All of them. Small residential work, decks, fences, reroofs, remodels, solar, is a little over half of what we get.

Built to be checked.

2,146

facts about FDE jobs and interviews, each checked twice against its source.

  • Job postings
  • Careers pages
  • Candidate reports
How we check
8:40

“Skeleton, on the board: a weekly stage-wait report in two weeks.”

Your score quotes what you said, and when you said it.

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Is this for AI-lab FDE roles or Palantir-style ones?

Both. Most of the course serves both kinds of role. Modules 8 and 9 (being written) and the AI systems questions lean toward AI roles, and Modules 4 and 7 (being written) toward enterprise and data roles. Setup asks which you are going for, so what you practice first leans that way. Nothing is removed.

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Algorithm practice trains one kind of problem. This trains the open-ended one, out loud: scoping a vague customer problem with the customer in the room.

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