Ankit Interview 3

A new PM interview round is spreading across Google, Meta, OpenAI, and Anthropic, and most candidates have never seen it. It is not product sense. It is not engineering. It is the vibe coding round, where you design a feature and take it live to a prototype while the interviewer watches you use AI. This episode is a full mock interview so you can see exactly what it looks like when you have to ship an existing-product feature under a timer. Full Writeup: [VERIFY - newsletter URL] Transcript: [VERIFY - newsletter URL] --- Timestamps: 00:00 - Intro: the new vibe coding interview round 01:31 - The prompt: build a feature for LinkedIn 02:31 - Defining the goal and the user problem 04:23 - Speed-running the product sense round 06:53 - Prioritizing needs across user groups 12:30 - Mapping friction in the current workflow 17:56 - Writing the PRD and the three non-negotiables 21:30 - Curveball: the design system, strategy, and prior features 25:44 - Running the prompt across Magic Patterns, Lovable, and Claude Code 29:41 - Why you define the design system first 35:57 - Evaluating the five UI concepts 39:45 - Feedback: scoring the interview bucket by bucket 43:41 - The prompt, the tools, and using AI to write the prompt 46:01 - Outro: practice your timing, tools, and crisp explanation --- Key Takeaways: 1. The vibe coding round is a hybrid, not product sense or coding - It sits between the traditional product sense round and an engineering coding round. You design a product, then take it all the way to a working prototype live, while the interviewer watches how you actually use AI. 2. Real interviews ask you to build on existing products, not from scratch - Every tutorial online shows a brand-new product built from zero. The questions you are most likely to face are adding a feature to an existing product like LinkedIn, where constraints and prior features are already baked in. 3. Compensation makes this round worth mastering - AI PM roles at Google, Meta, OpenAI, and Anthropic pay from 300,000 to north of a million dollars. Some AI PM leaders now ask candidates to screen share how they use AI during the interview itself. 4. Speed-run product sense before you touch a tool - Compress the 30-minute product sense discussion into a few minutes. Nail the goal, the user problem, and why this feature over everything else you could build, before opening any prototyping tool. 5. Prioritize by user group, not by feature idea - Map the distinct needs across user segments first, then find the unique needs each group has. This keeps the feature grounded in a real problem instead of a solution looking for a use case. 6. A good PRD has three non-negotiables - Before prototyping, the PRD needs to define the problem, the solution, and the specific context clearly enough that an AI tool can build against it without guessing. 7. Establish the harness before the design system - Set up a context harness inside Claude, then have it learn the target product's design system before you feed it the feature prompt. Getting the harness in place early is what lets the tool pull the right design system in. 8. Use multiple prototyping tools in parallel - Run the same prompt through Magic Patterns, Lovable, and Claude Code at once. Magic Patterns is front-end only with no backend, Lovable publishes to GitHub, and Claude Code pulls from your actual codebase. Each gives you a different read on the solution. 9. Define the design system first, then everything else - Tell the tool to learn the design system of the target product before giving it more information. Concepts that respect the real design system look like features that will actually ship, not generic AI slop. 10. Timing and crisp explanation win the round - The interview is live with curveballs you have not seen. Practice your timing against the clock, practice confidence across different tools, and practice explaining crisply: here are the problems, here are the solutions, here is the PRD. --- 👨‍💻 Where to find the guest: LinkedIn: [VERIFY - guest LinkedIn URL] 👨‍💻 Where to find Aakash: Twitter: https://www.x.com/aakashg0 LinkedIn: https://www.linkedin.com/in/aakashgupta/ Newsletter: https://www.news.aakashg.com #VibeCoding #AIPM --- 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

AnkitguestAakash Guptahost

Jul 29, 202647mWatch on YouTube ↗

EPISODE INFO

Released: July 29, 2026
Duration: 47m
Channel: Aakash Gupta
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

A new PM interview round is spreading across Google, Meta, OpenAI, and Anthropic, and most candidates have never seen it. It is not product sense. It is not engineering. It is the vibe coding round, where you design a feature and take it live to a prototype while the interviewer watches you use AI. This episode is a full mock interview so you can see exactly what it looks like when you have to ship an existing-product feature under a timer. Full Writeup: [VERIFY - newsletter URL] Transcript: [VERIFY - newsletter URL] --- Timestamps: 00:00 - Intro: the new vibe coding interview round 01:31 - The prompt: build a feature for LinkedIn 02:31 - Defining the goal and the user problem 04:23 - Speed-running the product sense round 06:53 - Prioritizing needs across user groups 12:30 - Mapping friction in the current workflow 17:56 - Writing the PRD and the three non-negotiables 21:30 - Curveball: the design system, strategy, and prior features 25:44 - Running the prompt across Magic Patterns, Lovable, and Claude Code 29:41 - Why you define the design system first 35:57 - Evaluating the five UI concepts 39:45 - Feedback: scoring the interview bucket by bucket 43:41 - The prompt, the tools, and using AI to write the prompt 46:01 - Outro: practice your timing, tools, and crisp explanation --- Key Takeaways:
1. The vibe coding round is a hybrid, not product sense or coding - It sits between the traditional product sense round and an engineering coding round. You design a product, then take it all the way to a working prototype live, while the interviewer watches how you actually use AI.
1. Real interviews ask you to build on existing products, not from scratch - Every tutorial online shows a brand-new product built from zero. The questions you are most likely to face are adding a feature to an existing product like LinkedIn, where constraints and prior features are already baked in.
1. Compensation makes this round worth mastering - AI PM roles at Google, Meta, OpenAI, and Anthropic pay from 300,000 to north of a million dollars. Some AI PM leaders now ask candidates to screen share how they use AI during the interview itself.
1. Speed-run product sense before you touch a tool - Compress the 30-minute product sense discussion into a few minutes. Nail the goal, the user problem, and why this feature over everything else you could build, before opening any prototyping tool.
1. Prioritize by user group, not by feature idea - Map the distinct needs across user segments first, then find the unique needs each group has. This keeps the feature grounded in a real problem instead of a solution looking for a use case.
1. A good PRD has three non-negotiables - Before prototyping, the PRD needs to define the problem, the solution, and the specific context clearly enough that an AI tool can build against it without guessing.
1. Establish the harness before the design system - Set up a context harness inside Claude, then have it learn the target product's design system before you feed it the feature prompt. Getting the harness in place early is what lets the tool pull the right design system in.
1. Use multiple prototyping tools in parallel - Run the same prompt through Magic Patterns, Lovable, and Claude Code at once. Magic Patterns is front-end only with no backend, Lovable publishes to GitHub, and Claude Code pulls from your actual codebase. Each gives you a different read on the solution.
1. Define the design system first, then everything else - Tell the tool to learn the design system of the target product before giving it more information. Concepts that respect the real design system look like features that will actually ship, not generic AI slop.
1. Timing and crisp explanation win the round - The interview is live with curveballs you have not seen. Practice your timing against the clock, practice confidence across different tools, and practice explaining crisply: here are the problems, here are the solutions, here is the PRD. --- 👨‍💻 Where to find the guest: LinkedIn: [VERIFY - guest LinkedIn URL] 👨‍💻 Where to find Aakash: Twitter: https://www.x.com/aakashg0 LinkedIn: https://www.linkedin.com/in/aakashgupta/ Newsletter: https://www.news.aakashg.com #VibeCoding #AIPM --- 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

SPEAKERS

Ankit
guest
Guest interviewer running a mock “vibe coding” AI PM interview and giving product/AI prompt feedback.
Aakash Gupta
host
Host of Product Growth with Aakash Gupta; product growth practitioner coaching PMs on AI PM “vibe coding” interviews and prototyping workflows.

EPISODE SUMMARY

In this episode of Aakash Gupta, featuring Ankit and Aakash Gupta, Ankit Interview 3 explores inside the AI “vibe coding” PM interview: prototype fast, thoughtfully The episode introduces the “vibe coding” interview as a hybrid PM + prototyping round where candidates must go from problem framing to a clickable prototype quickly, often on existing products rather than greenfield ideas.

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