OpenAI

LIVE — Questions refreshed May 13, 2026

The interview cheat code nobody talks about

Right now, there are 61 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.

Fresh Questions

12K+

Engineers using this

$780K

Median Offer at Stake

See What They're Asking How This Works

Questions refresh every 7 days. Current batch expires soon.

The Uncomfortable Truth

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.

94%

Rejection rate

3.2×

Better odds with GothamLoop

What candidates actually do vs. what works

Everyone Else

GothamLoop Users

✕ Grind random LeetCode

✓ Study exact questions from this week

✕ Generic system design prep

✓ OpenAI-specific design problems

✕ No idea about mission questions

✓ Know the behavioral prompts ahead

✕ Hope for the best

✓ Walk in knowing what's coming

Live Question Feed

What is asking right now

Sourced and verified from real candidates who interviewed at OpenAI in the last 14 days. Updated every week.

📋 Questions from the Last 14 Days

61 VERIFIED

CODING Implement a complete key-value store from scratch with get() and put() operations, supporting TTL expiration. 🔓

SYSTEM DESIGN Design a real-time collaborative document editing system like Google Docs with conflict resolution. 🔒

ML/AI Explain the attention mechanism in transformers. What is the complexity of self-attention and how can it be optimized? 🔒

CODING Here is a PyTorch training script that isn't converging. Find and fix the bugs. (Common: optimizer.zero_grad(), loss function) 🔒

SYSTEM DESIGN Design an online multiplayer game system supporting hundreds of thousands of concurrent users with low latency. 🔒

BEHAVIORAL Tell me about a time you made a mistake that impacted production. How did you handle it and what did you learn? 🔒

ML/AI How would you train a model that doesn't fit on a single GPU? Discuss Data Parallelism vs Model Parallelism. 🔒

CODING Implement an LRU cache with O(1) get and put operations. Then extend it to support TTL-based expiration. 🔒

🔒

60 More Questions Available

Get the exact questions OpenAI is asking this week. Don't walk in blind.

Unlock All 61 Questions

These refresh every 7 days. Candidates who see them before interviewing pass at 3.2× the normal rate.

Get Full Access →

The Unfair Advantage

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

We collect questions directly from engineers who've interviewed at OpenAI, then cross-validate against other intel sources to give you a stack-ranked list of what they're asking right now.

⏱️

Fresh every week

Interview questions change. We update our database every 7 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.

🏢

120+ companies tracked

OpenAI is just one of 120+ companies we track. If you're also interviewing at Anthropic, Google, Meta, or Amazon — 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

Every question has been reported directly by a candidate and cross-verified against multiple data points.

The Numbers

Engineers don't use us because it's clever. They use us because it works.

3.2×

Higher pass rate

120+

Companies tracked

12K+

Engineers using this

What's At Stake

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

💡 A single failed interview costs you $780K/year on average. GothamLoop costs less than a single dinner out. The math isn't even close.

Stop studying the wrong questions. Start studying the right ones.

Get instant access to all 61 verified OpenAI questions from the last 14 days — plus 120+ other companies. Updated every week.

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Verified from real candidates

✓

Refreshed every 7 days

✓

120+ companies covered

Get Full Access Now →

FAQ

Common Questions

How are the questions sourced?

We collect questions directly from engineers who've interviewed at OpenAI, then cross-validate against other intel sources to give you a stack-ranked list of what they're asking right now.

How often are questions updated?

Every 7 days. OpenAI rotates their question pool, and we track those changes in real-time.

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 120+ companies including Anthropic, Google, Meta, Apple, and more.

What types of questions are included?

Everything: coding challenges, system design problems, ML/AI technical questions, behavioral prompts, and AI safety questions. All labeled by round and difficulty.

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. GothamLoop tags each question by role type so you know what applies to you.