The original title is: "Forward Deployed Engineer interview questions (2026): every round, with real examples"

Short summary

A detailed breakdown of the Forward Deployed Engineer interview loop across Palantir, OpenAI, Anthropic, Google, and ElevenLabs, covering five stages: motivation screen, take-home build, technical deep-dive on production AI, customer case study, and behavioral rounds. The case study round carries the highest weight (~30%) and lowest pass rate (~40%), testing whether candidates can decompose vague business problems into actionable AI deployment plans. The guide includes real interview questions and what interviewers score at each stage.

• •FDE interviews weight production AI judgment (evals, token cost, guardrails) and customer judgment far more than standard SWE loops
• •The customer case study round has ~40% pass rate and ~30% decision weight — candidates prepare for it least
• •Evals are the single most common reason candidates fail final rounds at OpenAI and Anthropic

Generated with AI, which can make mistakes.