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Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling...

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Lenny Rachitsky

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176,800 görüntüleme • 7 ay önce •via X (Twitter)

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🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:
1:39

🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:

Lenny Rachitsky

278,550 görüntüleme • 10 ay önce

In his first in-depth interview since taking over as Scale AI CEO, Jason Droege shares: 🔸 What actually happened with Meta’s $14 billion investment 🔸 Where frontier labs are heading next 🔸 Why most enterprise data is useless for AI models 🔸 What it takes to keep making AI model smarter 🔸 What he learned scaling Uber Eats from zero to $80B 🔸 How to think independently when building new products and businesses 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Mercury — The art of simplified finances:
1:34

In his first in-depth interview since taking over as Scale AI CEO, Jason Droege shares: 🔸 What actually happened with Meta’s $14 billion investment 🔸 Where frontier labs are heading next 🔸 Why most enterprise data is useless for AI models 🔸 What it takes to keep making AI model smarter 🔸 What he learned scaling Uber Eats from zero to $80B 🔸 How to think independently when building new products and businesses 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Mercury — The art of simplified finances:

Lenny Rachitsky

96,885 görüntüleme • 10 ay önce

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:
0:58

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

314,081 görüntüleme • 1 yıl önce

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:
1:03

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:

Lenny Rachitsky

46,963 görüntüleme • 1 yıl önce

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:
1:16

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Lenny Rachitsky

35,599 görüntüleme • 1 yıl önce

From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:
1:29

From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

183,085 görüntüleme • 11 ay önce

So many people talking about AI evals. Hamel Husain and Shreya Shankar show me how to actually build one. Live. Hamel and Shreya teach the world’s most popular course on evals, and have long been at the forefront of this emerging and important new skill for AI product builders. I'm so excited to finally have them on the podcast. Learn: 🔸 WTF are evals 🔸 A step-by-step live walkthrough of how to create an eval 🔸 Why evals have become so important 🔸 The debate between “vibes” and systematic evals 🔸 Code-based evals vs. LLM-as-judge 🔸 Why you only need 4-7 evals (not hundreds) 🔸 Building an LLM judge in Google Sheets 🔸 Why you always want to start with error analysis 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Fin — The #1 AI agent for customer service: 🏆 dscout — The UX platform to capture insights at every stage: from ideation to production: 🏆 Mercury — The art of simplified finances:
1:12

So many people talking about AI evals. Hamel Husain and Shreya Shankar show me how to actually build one. Live. Hamel and Shreya teach the world’s most popular course on evals, and have long been at the forefront of this emerging and important new skill for AI product builders. I'm so excited to finally have them on the podcast. Learn: 🔸 WTF are evals 🔸 A step-by-step live walkthrough of how to create an eval 🔸 Why evals have become so important 🔸 The debate between “vibes” and systematic evals 🔸 Code-based evals vs. LLM-as-judge 🔸 Why you only need 4-7 evals (not hundreds) 🔸 Building an LLM judge in Google Sheets 🔸 Why you always want to start with error analysis 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Fin — The #1 AI agent for customer service: 🏆 dscout — The UX platform to capture insights at every stage: from ideation to production: 🏆 Mercury — The art of simplified finances:

Lenny Rachitsky

125,296 görüntüleme • 10 ay önce

What is famed child psychologist Dr. Becky doing on Lenny's Podcast? There's a surprisingly large overlap between great parenting and great leadership. As Shreyas Doshi often says, "most adults are babies in disguise." In our very unique conversation, we discuss: 🔸 What it looks like to be a “sturdy” leader 🔸 The power of “I believe you" and "I believe in you” 🔸 Why repair—not perfection—defines strong leadership 🔸 The “most generous interpretation” framework for handling difficult behaviors 🔸 How to correctly set boundaries (vs. making requests) 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — Fast, secure integrations for your products and agents: 🏆 Metaview — The AI platform for recruiting: 🏆 Framer — Builder better websites faster:
1:08

What is famed child psychologist Dr. Becky doing on Lenny's Podcast? There's a surprisingly large overlap between great parenting and great leadership. As Shreyas Doshi often says, "most adults are babies in disguise." In our very unique conversation, we discuss: 🔸 What it looks like to be a “sturdy” leader 🔸 The power of “I believe you" and "I believe in you” 🔸 Why repair—not perfection—defines strong leadership 🔸 The “most generous interpretation” framework for handling difficult behaviors 🔸 How to correctly set boundaries (vs. making requests) 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — Fast, secure integrations for your products and agents: 🏆 Metaview — The AI platform for recruiting: 🏆 Framer — Builder better websites faster:

Lenny Rachitsky

98,226 görüntüleme • 6 ay önce

Oji and Ezinne Udezue (Oji Udezue and Ezinne Udezue) have over 50 years of combined product leadership experience across Atlassian, Microsoft, Twitter WP Engine, Typeform, and Calendly. They’ve witnessed every major shift in product management—from Waterfall to Agile to AI. Despite their experience, they’re taking beginner AI courses and learning from engineers half their age. Oji is coding more now than in the past decade. In our conversation, we discuss: 🔸 Why PMs are now often the bottleneck because engineers are moving so fast with AI 🔸 The “shipyard” framework: why the best AI teams embrace controlled chaos 🔸 The three skills that matter most for PMs in 2025: curiosity, humility, and agency 🔸 How to identify “sharp problems” 🔸 Their biggest product lesson from 50 combined years Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury — The art of simplified finances: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:
0:59

Oji and Ezinne Udezue (Oji Udezue and Ezinne Udezue) have over 50 years of combined product leadership experience across Atlassian, Microsoft, Twitter WP Engine, Typeform, and Calendly. They’ve witnessed every major shift in product management—from Waterfall to Agile to AI. Despite their experience, they’re taking beginner AI courses and learning from engineers half their age. Oji is coding more now than in the past decade. In our conversation, we discuss: 🔸 Why PMs are now often the bottleneck because engineers are moving so fast with AI 🔸 The “shipyard” framework: why the best AI teams embrace controlled chaos 🔸 The three skills that matter most for PMs in 2025: curiosity, humility, and agency 🔸 How to identify “sharp problems” 🔸 Their biggest product lesson from 50 combined years Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury — The art of simplified finances: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

81,329 görüntüleme • 11 ay önce

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.
1:07

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

Lenny Rachitsky

75,439 görüntüleme • 1 yıl önce

Ben Mann (Ben Mann) left OpenAI in 2020 with the entire safety team to co-found Anthropic (now reportedly valued at over $100B). In a rare interview, Ben opens up about: 🔸 What he saw at OpenAI that convinced him to leave 🔸 The AI nightmare scenarios that concern him most 🔸 His take on Meta’s $100M talent wars 🔸 Why he believes 20% unemployment is inevitable 🔸 His “economic Turing test” for knowing when we’ve achieved AGI—and why it’s likely coming by 2027-2028 🔸 How focusing on AI safety created Claude’s beloved personality 🔸 What three skills he’s teaching his kids to thrive in an AI future 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 —Turn customer pain into product revenue: 🏆 LucidLink—Real-time cloud storage for teams: 🏆 Fin—The #1 AI agent for customer service:
1:24

Ben Mann (Ben Mann) left OpenAI in 2020 with the entire safety team to co-found Anthropic (now reportedly valued at over $100B). In a rare interview, Ben opens up about: 🔸 What he saw at OpenAI that convinced him to leave 🔸 The AI nightmare scenarios that concern him most 🔸 His take on Meta’s $100M talent wars 🔸 Why he believes 20% unemployment is inevitable 🔸 His “economic Turing test” for knowing when we’ve achieved AGI—and why it’s likely coming by 2027-2028 🔸 How focusing on AI safety created Claude’s beloved personality 🔸 What three skills he’s teaching his kids to thrive in an AI future 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 —Turn customer pain into product revenue: 🏆 LucidLink—Real-time cloud storage for teams: 🏆 Fin—The #1 AI agent for customer service:

Lenny Rachitsky

1,211,828 görüntüleme • 1 yıl önce

The rise of the professional vibe coder Lazar Jovanovic (Lazar 50 Jovanovic) gets paid to vibe-code full-time. That's his actual job. This is a new career path for non-technical people, and a fascinating glimpse into where product roles are heading. I found myself thinking more deeply about the future of PMs, designers, and engineers during this conversation than I have in a long time. We discuss: 🔸 Why having no coding background can be a big advantage when building with AI 🔸 His markdown file system that keeps AI agents aligned across complex builds 🔸 What to do when you get stuck: Lazar's 4x4 debugging workflow 🔸 Why you should be kicking off 4-5 parallel prototypes 🔸 Why design skills, and taste, are going to be the most important skills in the future Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Strella — The AI-powered customer research platform: 🏆 Samsara — Saving lives with AI built for physical operations: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs:
1:11

The rise of the professional vibe coder Lazar Jovanovic (Lazar 50 Jovanovic) gets paid to vibe-code full-time. That's his actual job. This is a new career path for non-technical people, and a fascinating glimpse into where product roles are heading. I found myself thinking more deeply about the future of PMs, designers, and engineers during this conversation than I have in a long time. We discuss: 🔸 Why having no coding background can be a big advantage when building with AI 🔸 His markdown file system that keeps AI agents aligned across complex builds 🔸 What to do when you get stuck: Lazar's 4x4 debugging workflow 🔸 Why you should be kicking off 4-5 parallel prototypes 🔸 Why design skills, and taste, are going to be the most important skills in the future Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Strella — The AI-powered customer research platform: 🏆 Samsara — Saving lives with AI built for physical operations: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs:

Lenny Rachitsky

155,845 görüntüleme • 6 ay önce

What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:
1:41

What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:

Lenny Rachitsky

79,415 görüntüleme • 8 ay önce

“Extraordinary results demand extraordinary effort” A powerful conversation with Matt MacInnis (Matt MacInnis), long-time COO and newly minted CPO at Rippling We discuss: 🔸 Matt’s transition from COO to CPO and what surprised him about leading product 🔸 The “high alpha, low beta” framework for evaluating people, processes, and products 🔸 Why you should deliberately understaff projects 🔸 Why you should treat escalations as gifts 🔸 Why processes exist to reduce volatility—and why it will also suppress creativity 🔸 When founders should quit their startups (hint: much earlier than VCs want you to) 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Google Gemini — Your everyday AI assistant: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 GoFundMe Giving Funds — Make year-end giving easy:
1:39

“Extraordinary results demand extraordinary effort” A powerful conversation with Matt MacInnis (Matt MacInnis), long-time COO and newly minted CPO at Rippling We discuss: 🔸 Matt’s transition from COO to CPO and what surprised him about leading product 🔸 The “high alpha, low beta” framework for evaluating people, processes, and products 🔸 Why you should deliberately understaff projects 🔸 Why you should treat escalations as gifts 🔸 Why processes exist to reduce volatility—and why it will also suppress creativity 🔸 When founders should quit their startups (hint: much earlier than VCs want you to) 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Google Gemini — Your everyday AI assistant: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 GoFundMe Giving Funds — Make year-end giving easy:

Lenny Rachitsky

461,415 görüntüleme • 7 ay önce

.Jason ✨👾SaaStr.Ai✨ Lemkin used to have 10 salespeople. Now he has 10 empty desks—each one labeled with an AI agent's name. His sales team went from 10 humans → 1.2 humans + 20 AI agents. Same revenue. In his return to the podcast, we discuss: 🔸 Why mid-tier SDRs/BDRs will be "extinct" within a year 🔸 Where to start integrating AI into your sales motion 🔸 The specific AI tools that have worked best (and which flopped) 🔸 His 2026 predictions for GTM and sales 🔸 How to become "hyper-employable" in the age of AI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Vercel — Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform:
1:06

.Jason ✨👾SaaStr.Ai✨ Lemkin used to have 10 salespeople. Now he has 10 empty desks—each one labeled with an AI agent's name. His sales team went from 10 humans → 1.2 humans + 20 AI agents. Same revenue. In his return to the podcast, we discuss: 🔸 Why mid-tier SDRs/BDRs will be "extinct" within a year 🔸 Where to start integrating AI into your sales motion 🔸 The specific AI tools that have worked best (and which flopped) 🔸 His 2026 predictions for GTM and sales 🔸 How to become "hyper-employable" in the age of AI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Vercel — Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform:

Lenny Rachitsky

341,785 görüntüleme • 7 ay önce

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:
1:40

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 görüntüleme • 9 ay önce

The rise of the IC CEO with Howie Liu After a viral tweet claimed Airtable was dead based on incorrect data, Howie led a radical transformation: reorganizing the entire company into "fast" and "slow" thinking teams, becoming an “IC CEO” who codes daily, and encouraging employees to cancel all their meetings to play with AI. In our conversation, we discuss: 🔸 The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman) 🔸 Why CEOs must become ICs again in the AI era 🔸 Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment 🔸 Why evals can kill innovation (and when to use “vibes” instead) Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 LucidLink — Real-time cloud storage for teams: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Claude — The AI for problem solvers and enterprise:
0:56

The rise of the IC CEO with Howie Liu After a viral tweet claimed Airtable was dead based on incorrect data, Howie led a radical transformation: reorganizing the entire company into "fast" and "slow" thinking teams, becoming an “IC CEO” who codes daily, and encouraging employees to cancel all their meetings to play with AI. In our conversation, we discuss: 🔸 The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman) 🔸 Why CEOs must become ICs again in the AI era 🔸 Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment 🔸 Why evals can kill innovation (and when to use “vibes” instead) Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 LucidLink — Real-time cloud storage for teams: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Claude — The AI for problem solvers and enterprise:

Lenny Rachitsky

243,711 görüntüleme • 11 ay önce

Many people consider Linear the gold standard in B2B software. Their focus on craft, the end-user experience, and building strongly opinionated software is inspiring a new generation of founders. It's also one of the most beloved and fastest-growing B2B products out there today. In my conversation with Nan Yu (Nan Yu), head of product at Linear, we discuss: 🔸 Why it's a red flag if you think speed and quality are at odds 🔸 Linear’s philosophy on deadlines 🔸 The “double triangle” framework for product management 🔸 Nan’s systematic approach to creativity 🔸 Nan’s approach to landing his dream product roles 🔸 Their unique approach to product development 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Sinch — Build messaging, email, and calling into your product: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Wix Studio — The web creation platform built for agencies: it
1:18

Many people consider Linear the gold standard in B2B software. Their focus on craft, the end-user experience, and building strongly opinionated software is inspiring a new generation of founders. It's also one of the most beloved and fastest-growing B2B products out there today. In my conversation with Nan Yu (Nan Yu), head of product at Linear, we discuss: 🔸 Why it's a red flag if you think speed and quality are at odds 🔸 Linear’s philosophy on deadlines 🔸 The “double triangle” framework for product management 🔸 Nan’s systematic approach to creativity 🔸 Nan’s approach to landing his dream product roles 🔸 Their unique approach to product development 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Sinch — Build messaging, email, and calling into your product: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Wix Studio — The web creation platform built for agencies: it

Lenny Rachitsky

34,279 görüntüleme • 1 yıl önce