Free AI Mock Interview — practice for AI, PM, and ML roles
Most people go into interviews without enough practice. Pick your role, answer real interview questions, and get feedback on structure, depth, and specificity — all in one place.
Choose your interview type
First question is free · No account needed to start
Interview types covered
AI Product Manager
5 questions
ML Engineer
5 questions
Data Scientist
5 questions
AI Engineer
5 questions
Behavioral
5 questions
How the mock interview works
Pick your role
Choose the role you're preparing for — AI PM, ML Engineer, Data Scientist, AI Engineer, or Behavioral. Each has its own question bank and evaluation criteria.
Answer a real question
You get a question that hiring managers actually ask. Type your answer as if you were speaking — aim for what you'd say in 2-3 minutes.
Get scored feedback
Create your free account to unlock AI feedback on your answer: structure, depth, specificity, and role fit — plus suggestions for what to add.
Interview practice questions
Does AI mock interview practice actually help?
Yes — deliberate practice with structured feedback is the most reliable way to improve interview performance. AI mock interviews let you practice as many times as you need without scheduling constraints. The key is getting specific feedback on your actual answers, not just reading model answers.
What interview roles can I practice for?
We cover AI Product Manager, ML Engineer, Data Scientist, AI Engineer, and Behavioral interviews. Each track has role-specific questions covering the technical depth and communication style that hiring managers actually test for.
Is this AI mock interview free?
Yes. You can start a mock interview and answer your first question for free without creating an account. A free account unlocks unlimited sessions, AI scoring on your answers, session history, and question banks for all five role types.
How does the AI score my interview answers?
The AI evaluates your answers across four dimensions: structure (did you use a clear framework?), depth (did you go beyond surface-level?), specificity (did you use concrete examples and numbers?), and role fit (did you show the right thinking for the role?). You get a score and specific suggestions, not just a pass/fail.
What questions do AI PM interviews ask?
AI PM interviews typically cover: product design (design an AI feature), metrics and analytics (how would you measure success?), trade-offs and prioritisation (which AI feature do you build first?), ethics and risk (how do you handle model bias?), and cross-functional collaboration (how do you work with data scientists?). Our question bank covers all these areas.
How should I structure my answers in an AI interview?
For product and design questions: clarify the problem, state your assumptions, structure your answer with a framework, then go deep. For technical questions: explain your reasoning, not just your answer. For behavioral questions: use STAR (Situation, Task, Action, Result) and always include specific numbers and outcomes.
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