Are you an AI engineer stuck in execution work while watching less technical people land $200K+ FDE roles?
Most engineers trying to break into Forward Deployed Engineering are targeting the wrong thing. They chase Palantir job listings and OpenAI interview prep. That approach works for 1% of applicants.
The other 99% need a different system.
FDE School teaches the Internal Repositioning Method — a step-by-step process to transition from backend engineer to Forward Deployed Engineer using the production deployments you already have, without a big-name offer letter.
Engineers inside this community have used this to reposition from data scientists and ML engineers into client-facing AI deployment roles commanding $150K-$250K.
You get weekly live deployment breakdowns, a private community of engineers making the same transition, and direct access to someone who was doing this job before it had a name.