The OpenAI interview
cheat code nobody talks about
Right now, there are 17 verified questions from the last 14 days sitting in our database — the same questions OpenAI is asking candidates this week. Most applicants will never see them.
You're not failing because you can't code
OpenAI doesn't interview like Google or Meta. They ask practical, production-style problems most engineers have never seen before. They test mission alignment. They make you present your past work to senior leadership.
Engineers who succeed don't just practice more — they practice the right questions. The ones actually being asked right now. That's the gap, and that's why we built GothamLoop.
What OpenAI is asking right now
Sourced and verified from real candidates who interviewed at OpenAI in the last 14 days. Updated every two weeks.
📋 Questions from the Last 14 Days
17 VERIFIEDThese rotate every 14 days. Candidates who see them before interviewing pass at 3.2× the normal rate.
Get Full Access →Why this actually works
We built GothamLoop around a simple insight: the best preparation is knowing what's actually being asked — not what might be asked.
Real questions, not guesses
Every question in our database comes from an engineer who actually sat in the chair at OpenAI. Sourced, verified, and time-stamped within the last 14 days.
Fresh every 2 weeks
Interview questions change. We update our database every 14 days so you're never studying stale problems. What you see is what's being asked right now.
Covers every round
Coding, system design, ML fundamentals, behavioral, technical presentations, AI safety — we capture questions across all 4-6 interview rounds so nothing catches you off guard.
100+ companies
OpenAI is just one of 100+ companies we track. If you're also interviewing at Anthropic, DeepMind, Google, or Meta — we have their questions too.
Difficulty & pattern data
We don't just show you the question — we tag difficulty, interview round, and question category so you know exactly how to allocate your prep time.
Candidate-verified only
No AI-generated filler. No recycled forum posts. Every question has been reported directly by a candidate and cross-verified against multiple data points.
Engineers don't use us because it's clever. They use us because it works.
This is a $780K decision
OpenAI pays the highest total compensation in tech. The difference between passing and failing this interview is life-changing money.
| Level | Title | Experience | Total Comp |
|---|---|---|---|
| L2 | Software Engineer | 0–2 yrs | ~$249K |
| L3 | Software Engineer | 2–4 yrs | ~$436K |
| L4 | Senior Software Engineer | 4–8 yrs | ~$727K |
| L5 | Staff Software Engineer | 8–12 yrs | ~$981K |
| L6 | Principal Engineer | 12+ yrs | ~$1.27M |
Stop studying the wrong questions.
Start studying the right ones.
Get instant access to all 17 verified OpenAI questions from the last 14 days — plus 100+ other companies. Updated every two weeks.
Common Questions
How are the questions sourced?
Directly from engineers who completed their OpenAI interview loop. Every question is time-stamped and cross-verified. We don't scrape forums or use AI to guess — these are real, confirmed questions.
How often are questions updated?
Every 14 days. OpenAI rotates their question pool, and we track those changes in real-time. You'll always have the freshest data available.
Will I get the exact same questions?
Companies reuse questions across candidates within a given cycle. Our users report a high overlap rate — especially for system design and behavioral rounds.
Is this just for OpenAI?
No. GothamLoop covers 100+ companies including Anthropic, Google DeepMind, Meta, Apple, and more. Your subscription unlocks questions across all of them.
What types of questions are included?
Everything: coding challenges, system design problems, ML/AI technical questions, behavioral prompts, technical presentation topics, and AI safety questions.
What if I don't get an offer?
We offer a 48-hour money-back guarantee. You'll be better prepared than 90% of candidates who walk in blind.
How hard is the OpenAI interview?
Harder than typical FAANG. OpenAI focuses on practical engineering, not LeetCode patterns. They test debugging real code, building production systems, and mission alignment.
Do I need ML experience?
For SWE roles, you'll face high-level ML questions but don't need deep expertise. Research Engineer and MLE roles require strong ML fundamentals.
