About
Interviewing.io is a premier technical interview preparation platform designed for software engineers aiming to land roles at top-tier companies such as Meta, Google, Amazon, OpenAI, and Anthropic. The platform's core offering is anonymous mock interviews conducted by real Senior, Staff, and Principal-level engineers — the same people who make hiring decisions at FAANG and FAANG-adjacent companies. Sessions cover a broad range of interview types including algorithms and data structures, coding, system design, machine learning, front-end engineering, engineering management, and behavioral interviews. Each session takes place in a virtual CoderPad-style environment with audio and chat, preserving full anonymity unless the candidate chooses to unmask afterward. After every session, candidates receive in-depth, actionable feedback highlighting strengths and areas for improvement — helping them avoid common down-leveling pitfalls. For those targeting specific companies, Interviewing.io offers dedicated multi-session coaching programs for Amazon, Google, and Meta, pairing candidates with an experienced interviewer who builds a customized lesson plan over 3, 5, or 10 one-on-one sessions. The platform also features an AI Interviewer that conducts FAANG-style coding and system design interviews on demand, providing detailed feedback at the end. With access to over 200 problems from the book "Beyond Cracking the Coding Interview," candidates can practice at their own pace. Interviewing.io has helped its users secure over $50 billion in job offers, making it one of the most trusted platforms for serious software engineering interview prep.
Key Features
- Anonymous Mock Interviews: Practice with Senior, Staff, and Principal-level engineers from FAANG and top companies in fully anonymous virtual sessions with audio, chat, and a CoderPad-style editor.
- AI Interviewer: An on-demand AI-powered interviewer that conducts FAANG-style coding and system design interviews, providing detailed actionable feedback at the end of each session.
- Dedicated Company-Specific Coaching: Multi-session (3, 5, or 10) one-on-one coaching programs tailored to Amazon, Google, or Meta interviews, with a customized lesson plan designed by an experienced insider.
- Broad Interview Coverage: Covers algorithms & data structures, system design, machine learning, front-end, engineering management, behavioral, and staff-level interview formats.
- Actionable Post-Session Feedback: Every session ends with a detailed breakdown of performance, specific improvement areas, and advice on how to avoid down-leveling — delivered by real hiring decision-makers.
Use Cases
- A software engineer preparing for FAANG onsite interviews who wants to practice with real interviewers and receive expert feedback before the big day.
- A recent computer science graduate looking to build confidence and reduce interview anxiety by practicing anonymously with senior engineers.
- An experienced engineer targeting a Staff or Principal-level role who needs to practice advanced system design and leadership interview scenarios.
- A candidate specifically targeting Google, Meta, or Amazon who wants a customized multi-session coaching program with an insider from that company.
- A developer who wants on-demand, AI-powered interview practice for coding and system design problems without the need to schedule a human session.
Pros
- Real FAANG Interviewers: Sessions are conducted by actual Senior/Staff/Principal engineers who make hiring decisions, providing authentic, high-quality feedback unlike generic prep platforms.
- Anonymity Reduces Pressure: Fully anonymous sessions let candidates practice in a realistic but low-stakes environment, building confidence before real interviews.
- AI Interviewer for On-Demand Practice: The AI Interviewer allows unlimited practice at any time with 200+ problems, making it easy to prepare without scheduling constraints.
- Proven Track Record: Users have collectively received over $50 billion in job offers from top companies, demonstrating the platform's real-world effectiveness.
Cons
- Cost of Human Mock Interviews: Live mock interviews with FAANG engineers can be expensive, making it less accessible for candidates on a tight budget compared to free resources.
- Primarily Focused on Top-Tier Tech Companies: The platform is heavily optimized for FAANG-style interviews, which may not fully align with the interview processes of smaller companies or non-tech industries.
- Scheduling Dependency for Human Sessions: Live mock interviews require booking availability with interviewers, which may not always align with a candidate's preferred timeline.
Frequently Asked Questions
What types of interviews can I practice on Interviewing.io?
You can practice coding (algorithms & data structures), system design, machine learning, front-end engineering, engineering management, behavioral interviews, and staff-level or manager interviews.
Who are the interviewers on Interviewing.io?
All interviewers are Senior, Staff, or Principal-level software engineers or engineering managers who make or have made hiring decisions at FAANG and top tech companies like Meta, Google, Amazon, OpenAI, and Anthropic.
Is Interviewing.io free to use?
The AI Interviewer and access to over 200 practice problems are available for free. Live mock interviews with human engineers are a paid service.
How does the anonymous interview feature work?
Sessions take place in a virtual CoderPad-style environment with audio and chat but no video. Neither party knows who the other is during the session. Candidates can choose to unmask and connect with their interviewer afterward if they wish.
What is the dedicated coaching program?
The dedicated coaching program pairs you with an experienced interviewer from Amazon, Google, or Meta for 3, 5, or 10 one-on-one sessions. They design a customized lesson plan to help you prepare for the specific role and company you are targeting.
