FDE at Notion, Ex-Google, OReilly Author

Most engineers trying to break into Applied AI are stuck. You're mass-applying, getting auto-rejected, and reading endless threads about what a Forward Deployed Engineer actually does. Nobody can tell you, because almost nobody is doing the job yet.
I am. I'm an FDE at Notion, building AI inside enterprise customers' environments right now. This cohort is the job, compressed into four weeks.
You won't watch me talk about FDE work. You'll do it. You'll run a discovery call with a customer who can't spec what they need. You'll write the scope. You'll build an agent under real customer constraints, wire it to their systems, and survive a security review. Then you'll build the eval that makes them believe it works.
By the end you walk away with a complete scope-to-proof package: the discovery, the scope doc, the shipped agent, the eval, and a LinkedIn and resume rebuilt around all of it. Something you put on the table in an interview instead of talking around.
This is a small, do-the-work cohort. If you want to watch videos, this isn't it. If you want to leave with proof you can do the job, it is.
Go from talking about FDE work to proving you've done it: a complete engagement, discovery to proof, you can put on the table in any loop.
Run a live simulated discovery call against a realistic customer persona, not a script
Learn the question sequence that pulls a real spec out of a vague ask
Get your call reviewed: what you missed, what you should have pushed on
Turn your discovery notes into a scope doc using the exact structure I use at Notion
Learn the gradient rule for scoping commitments
Get your scope graded against the same brief as the whole cohort

Founding FDE @ Notion | O'Reilly Author | Ex-Google, Bloomberg
Engineer who wants in: You ship production code but can't land the FDE role. You need proof you can run a real engagement.
Engineer in the building: You're shipping AI into an enterprise now, learning by getting hit. You want the operating model.
Technical pro who wants the build: SE, TPM, data eng, analyst who codes. You want to own one engagement, discovery to proof.
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