Ankit EP 4k

LinkedIn replaced its associate product manager program with an associate product builder program. Ankit Shukla ran 12,500 PM job postings through Claude and GPT to find out whether that role is real, and more than 30% of them now ask for hands-on AI building. In this episode, he gives you the power framework for picking AI projects that actually return ROI, then opens his terminal and rebuilds a production email platform with Claude Code in 20 minutes of his own time and 20 hours of the agent's. He closes with the step-by-step roadmap his students used to land these roles at Meta, Amazon, Google, and Sarvam AI. Full write-up: https://www.news.aakashg.com/p/pm-to-product-builder-roadmap Transcript: https://www.aakashg.com/the-roadmap-to-becoming-a-product-builder-with-ankit-shukla/ Timestamps 00:00 - Intro 02:49 - Is the product builder role real or hype 04:39 - What a product builder actually is 07:08 - Ads 10:12 - Why delivery was always the bottleneck 12:03 - What product builder roles pay in the US and India 14:26 - The power framework, and why tools come last 20:44 - Workflows, and scaling empathy from 200 transcripts 26:48 - The five levels of AI engineering 34:06 - Claude Code vs Codex, debate settled 36:39 - Case study, replacing a $550 a month email platform 46:19 - Auditing what the agent spends 49:35 - Why the last 20% is the new PM job 54:18 - The roadmap to landing a product builder job 1:01:59 - The three interview rounds to prepare for 🏆 Thanks to our sponsor Mobbin - https://mobbin.com/signup?via=aakash Give your AI agent real product references instead of generic LLM output, with 621,500+ shipped screens and 142,200+ flows inside Claude Code, Cursor or any vibe coding tool. Grab a full year of Mobbin, Bolt.new, Airtable, Speechify, Descript, Magic Patterns, Linear, Dovetail and Arize - bundle.aakashg.com Key Takeaways 1. The product builder role is real, and the data says so - 12,500 PM job postings analyzed with Claude and GPT, and more than 30% now ask for hands-on AI building. The title has not caught up everywhere, but the requirements already have. 2. Judgment is the skill being paid for, not the tools - Across those postings, RAG, agentic AI and prompt engineering were not the number one skill. Identifying the right use case for AI was, because the engineering part is what AI can already do for you. 3. The premium is real and steeper in India - More than 20% over traditional PM pay, with a $195,000 median in the US and senior roles reaching $250,000 to $560,000. Indian AI PM roles carry an even larger premium over their non-AI counterparts. 4. Start with possibilities, not problems - Traditional product management starts with the problem. AI inverts that, because some things you never framed as problems at all. You were treating them as harsh realities. Map what AI can do before you map what hurts. 5. Never start with the tool - POW comes before E. Possibilities, opportunities and workflows first. Open n8n before you have done those three and you are building AI slop with extra steps. 6. The five levels, and why most people stall at level one - Prompting, then reusable Gems and custom GPTs, then skills and connectors, then vibe coding, then production builds with MCPs. Most people live at zero and one. Level two is where the ROI starts. 7. Claude Code versus Codex is a settled debate - Ankit benchmarked both plus Cursor and a DeepSeek harness across e-commerce, social and gaming builds. All of them shipped functional sites, so for 90% of use cases the choice does not matter. 8. The build was 20 minutes of human time and 20 hours of agent time - A production email platform on Node, TypeScript and AWS, built by someone who deliberately avoided the languages he already knew. He pulled the AWS MCP so he never touched the console, then slept while Claude shipped slices. 9. Audit what the agent spends - Claude proposed a $420 a month stack. Ankit asked why it provisioned a machine that large and what Fargate was for. The revised stack came back at $110, replacing a tool that cost $550. 10. The last 20% is where the job moved - Claude takes you 80% of the way overnight. Bug fixing, edge cases and errors are what remain, and in most companies the PM hands that to an engineer. The PM's new job is producing the prototype that makes the conversation real. 👨‍💻 Where to find Ankit Shukla LinkedIn: https://www.linkedin.com/in/ankythshukla/ HelloPM: https://hellopm.co/ 👨‍💻 Where to find Aakash: X: https://x.com/aakashgupta LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://news.aakashg.com #ProductBuilder #AIPM 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

Aakash GuptahostAnkit Shuklaguest

Oct 4, 20261h 8mWatch on YouTube ↗

EPISODE INFO

Released: October 4, 2026
Duration: 1h 8m
Channel: Aakash Gupta
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

LinkedIn replaced its associate product manager program with an associate product builder program. Ankit Shukla ran 12,500 PM job postings through Claude and GPT to find out whether that role is real, and more than 30% of them now ask for hands-on AI building. In this episode, he gives you the power framework for picking AI projects that actually return ROI, then opens his terminal and rebuilds a production email platform with Claude Code in 20 minutes of his own time and 20 hours of the agent's. He closes with the step-by-step roadmap his students used to land these roles at Meta, Amazon, Google, and Sarvam AI. Full write-up: https://www.news.aakashg.com/p/pm-to-product-builder-roadmap Transcript: https://www.aakashg.com/the-roadmap-to-becoming-a-product-builder-with-ankit-shukla/ Timestamps 00:00 - Intro 02:49 - Is the product builder role real or hype 04:39 - What a product builder actually is 07:08 - Ads 10:12 - Why delivery was always the bottleneck 12:03 - What product builder roles pay in the US and India 14:26 - The power framework, and why tools come last 20:44 - Workflows, and scaling empathy from 200 transcripts 26:48 - The five levels of AI engineering 34:06 - Claude Code vs Codex, debate settled 36:39 - Case study, replacing a $550 a month email platform 46:19 - Auditing what the agent spends 49:35 - Why the last 20% is the new PM job 54:18 - The roadmap to landing a product builder job 1:01:59 - The three interview rounds to prepare for 🏆 Thanks to our sponsor Mobbin - https://mobbin.com/signup?via=aakash Give your AI agent real product references instead of generic LLM output, with 621,500+ shipped screens and 142,200+ flows inside Claude Code, Cursor or any vibe coding tool. Grab a full year of Mobbin, Bolt.new, Airtable, Speechify, Descript, Magic Patterns, Linear, Dovetail and Arize - bundle.aakashg.com Key Takeaways
1. The product builder role is real, and the data says so - 12,500 PM job postings analyzed with Claude and GPT, and more than 30% now ask for hands-on AI building. The title has not caught up everywhere, but the requirements already have.
1. Judgment is the skill being paid for, not the tools - Across those postings, RAG, agentic AI and prompt engineering were not the number one skill. Identifying the right use case for AI was, because the engineering part is what AI can already do for you.
1. The premium is real and steeper in India - More than 20% over traditional PM pay, with a $195,000 median in the US and senior roles reaching $250,000 to $560,000. Indian AI PM roles carry an even larger premium over their non-AI counterparts.
1. Start with possibilities, not problems - Traditional product management starts with the problem. AI inverts that, because some things you never framed as problems at all. You were treating them as harsh realities. Map what AI can do before you map what hurts.
1. Never start with the tool - POW comes before E. Possibilities, opportunities and workflows first. Open n8n before you have done those three and you are building AI slop with extra steps.
1. The five levels, and why most people stall at level one - Prompting, then reusable Gems and custom GPTs, then skills and connectors, then vibe coding, then production builds with MCPs. Most people live at zero and one. Level two is where the ROI starts.
1. Claude Code versus Codex is a settled debate - Ankit benchmarked both plus Cursor and a DeepSeek harness across e-commerce, social and gaming builds. All of them shipped functional sites, so for 90% of use cases the choice does not matter.
1. The build was 20 minutes of human time and 20 hours of agent time - A production email platform on Node, TypeScript and AWS, built by someone who deliberately avoided the languages he already knew. He pulled the AWS MCP so he never touched the console, then slept while Claude shipped slices.
1. Audit what the agent spends - Claude proposed a $420 a month stack. Ankit asked why it provisioned a machine that large and what Fargate was for. The revised stack came back at $110, replacing a tool that cost $550.
1. The last 20% is where the job moved - Claude takes you 80% of the way overnight. Bug fixing, edge cases and errors are what remain, and in most companies the PM hands that to an engineer. The PM's new job is producing the prototype that makes the conversation real. 👨‍💻 Where to find Ankit Shukla LinkedIn: https://www.linkedin.com/in/ankythshukla/ HelloPM: https://hellopm.co/ 👨‍💻 Where to find Aakash: X: https://x.com/aakashgupta LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://news.aakashg.com #ProductBuilder #AIPM 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

SPEAKERS

Aakash Gupta
host
Host of “Product Growth with Aakash Gupta,” interviewing guests about product growth and product-building workflows.
Ankit Shukla
guest
Guest discussing the “product builder” role and AI PM/product-building skills; identifies himself as Ankit Shukla and directs listeners to find him online.

EPISODE SUMMARY

In this episode of Aakash Gupta, featuring Aakash Gupta and Ankit Shukla, Ankit EP 4k explores product builders use AI to prototype fast and ship smarter The episode argues that “product builder” is an emerging, real job-market expectation where PM-adjacent roles are asked to use AI to accelerate discovery, delivery, and experimentation.

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