Lenny's Podcast: Product | Career | Growth Podcast Por Lenny Rachitsky arte de portada

Lenny's Podcast: Product | Career | Growth

Lenny's Podcast: Product | Career | Growth

De: Lenny Rachitsky
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Interviews with world-class product leaders and growth experts to uncover concrete, actionable, and tactical advice to help you build, launch, and grow your own product.Lenny Rachitsky Economía Gestión y Liderazgo Liderazgo
Episodios
  • What OpenAI and Google engineers learned deploying 50+ AI products in production

    What OpenAI and Google engineers learned deploying 50+ AI products in production
    Jan 11 2026
    Aishwarya Naresh Reganti and Kiriti Badam have helped build and launch more than 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 successful AI products. The goal of this conversation is to save you and your team a lot of pain and suffering.We discuss:1. Two key ways AI products differ from traditional software, and why that fundamentally changes how they should be built2. Common patterns and anti-patterns in companies that build strong AI products versus those that struggle3. A framework they developed from real-world experience to iteratively build AI products that create a flywheel of improvement4. Why obsessing about customer trust and reliability is an underrated driver of successful AI products5. Why evals aren’t a cure-all, and the most common misconceptions people have about them6. The skills that matter most for builders in the AI era—Brought to you by:Merge—The fastest way to ship 220+ integrations: https://merge.dev/lennyStrella—The AI-powered customer research platform: https://strella.io/lennyBrex—The banking solution for startups: https://www.brex.com/product/business-account?ref_code=bmk_dp_brand1H25_ln_new_fs—Transcript: https://www.lennysnewsletter.com/p/what-openai-and-google-engineers-learned—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/183007822/referenced—Get 15% off Aishwarya and Kiriti’s Maven course, Building Agentic AI Applications with a Problem-First Approach, using this link: https://bit.ly/3V5XJFp—Where to find Aishwarya Naresh Reganti:• LinkedIn: https://www.linkedin.com/in/areganti• GitHub: https://github.com/aishwaryanr/awesome-generative-ai-guide• X: https://x.com/aish_reganti—Where to find Kiriti Badam:• LinkedIn: https://www.linkedin.com/in/sai-kiriti-badam• X: https://x.com/kiritibadam—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Aishwarya and Kiriti(05:03) Challenges in AI product development(07:36) Key differences between AI and traditional software(13:19) Building AI products: start small and scale(15:23) The importance of human control in AI systems(22:38) Avoiding prompt injection and jailbreaking(25:18) Patterns for successful AI product development(33:20) The debate on evals and production monitoring(41:27) Codex team’s approach to evals and customer feedback(45:41) Continuous calibration, continuous development (CC/CD) framework(58:07) Emerging patterns and calibration(01:01:24) Overhyped and under-hyped AI concepts(01:05:17) The future of AI(01:08:41) Skills and best practices for building AI products(01:14:04) Lightning round and final thoughts—Referenced:• LevelUp Labs: https://levelup-labs.ai/• Why your AI product needs a different development lifecycle: https://www.lennysnewsletter.com/p/why-your-ai-product-needs-a-different• Booking.com: https://www.booking.com• Research paper on agents in production (by Matei Zaharia’s lab): https://arxiv.org/pdf/2512.04123• Matei Zaharia’s research on Google Scholar: https://scholar.google.com/citations?user=I1EvjZsAAAAJ&hl=en• The coming AI security crisis (and what to do about it) | Sander Schulhoff: https://www.lennysnewsletter.com/p/the-coming-ai-security-crisis• Gajen Kandiah on LinkedIn: https://www.linkedin.com/in/gajenkandiah• Rackspace: https://www.rackspace.com• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Semantic Diffusion: https://martinfowler.com/bliki/SemanticDiffusion.html• LMArena: https://lmarena.ai• Artificial Analysis: https://artificialanalysis.ai/leaderboards/providers• Why humans are AI’s biggest bottleneck (and what’s coming in 2026) | Alexander Embiricos (OpenAI Codex Product Lead): https://www.lennysnewsletter.com/p/why-humans-are-ais-biggest-bottleneck• Airline held liable for its chatbot giving passenger bad advice—what this means for travellers: https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know• Demis Hassabis on LinkedIn: https://www.linkedin.com/in/demishassabis• We replaced our sales team with 20 AI agents—here’s what happened | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents• Socrates’s quote: https://en.wikipedia.org/wiki/The_unexamined_life_is_not_worth_living• Noah Smith’s newsletter: https://www.noahpinion.blog• Silicon Valley on HBO Max: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Clair Obscur: Expedition 33: https://store.steampowered.com/app/1903340/...
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    1 h y 26 m
  • The high-growth handbook: Molly Graham’s frameworks for leading through chaos, change, and scale

    The high-growth handbook: Molly Graham’s frameworks for leading through chaos, change, and scale
    Jan 4 2026
    Molly Graham has worked for some of tech’s most effective leaders, including Mark Zuckerberg, Sheryl Sandberg, Chamath Palihapitiya, and Bret Taylor. Today she leads Glue Club, a community for leaders navigating rapid scale, growth, and change. She’s best known for her “Give away your Legos” framework and her collection of practical mental models for leading through hypergrowth.We discuss:1. “Give away your Legos”: a framework for scaling yourself as a leader2. “J-curves vs. stairs”: the two paths of career growth, and why you should pick the scarier path3. “The waterline model” for diagnosing team problems (and why you should “snorkel before you scuba”)4. Six rules for creating effective goals (and aligning everyone around them)5. Rules of thumb for leading through rapid scale and change6. Her biggest leadership lessons from Mark Zuckerberg, Sergey Brin, Larry Page, Sheryl Sandberg, and Bret Taylor—Brought to you by:DX—The developer intelligence platform designed by leading researchersBrex—The banking solution for startupsGoFundMe Giving Funds—Make helping a habit—Transcript: https://www.lennysnewsletter.com/p/the-high-growth-handbook-molly-graham—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182877855/my-biggest-takeaways-from-this-conversation—Where to find Molly Graham:• X: https://x.com/molly_g• LinkedIn: https://www.linkedin.com/in/mograham• Substack: https://mollyg.substack.com• Website: https://glueclub.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Molly Graham(04:28) Molly’s background at Google, Facebook, Quip, and CZI(11:29) The “Give away your Legos” framework(16:44) Managing your inner monster(19:49) When not to give away your Legos(21:28) Embracing a long career(23:25) The J-curve vs. stairs approach to career growth(32:00) The gift of knowing yourself(34:28) Learning to be a professional idiot(38:30) The waterline model: snorkel before you scuba(47:16) Six rules for creating strong alignment around goals(57:15) Rules of thumb for leading through rapid scale(01:07:49) Investing in high performers vs. low performers(01:10:54) Lessons from Zuckerberg, Sandberg, and Bret Taylor(1:21:15) Pivoting from ambition to purpose(1:26:32) Finding stability in instability(01:29:44) Final thoughts—Referenced:• Making an impact through authenticity and curiosity | Ami Vora (CPO at Faire, ex-WhatsApp, FB, IG): https://www.lennysnewsletter.com/p/authenticity-and-curiosity-ami-vora• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652• Elliot Schrage on LinkedIn: https://www.linkedin.com/in/elliotschrage• Quip: https://quip.com• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Chan Zuckerberg Initiative: https://chanzuckerberg.com• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths• ‘Give Away Your Legos’ and Other Commandments for Scaling Startups: https://review.firstround.com/give-away-your-legos-and-other-commandments-for-scaling-startups• The Muppets: https://muppets.disney.com• Sara Caldwell on LinkedIn: https://www.linkedin.com/in/saramcaldwell• J-Curves vs. Stairs: Two Approaches to Career Growth: https://mollyg.substack.com/p/j-curve• Forget the corporate ladder—winners take risks: https://www.ted.com/talks/molly_graham_forget_the_corporate_ladder_winners_take_risks• Chamath Palihapitiya on LinkedIn: https://www.linkedin.com/in/chamath• Lori Goler on LinkedIn: https://www.linkedin.com/in/lori-goler-6b96921• Joseph Campbell’s quote: https://www.goodreads.com/quotes/192665-the-cave-you-fear-to-enter-holds-the-treasure-you• Zevi Arnovitz on LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Peopling 101: The Waterline Model: https://christinehaskell.com/blog/peopling-101-the-waterline-model• Introduction to NVC: https://www.cnvc.org/learn/what-is-nvc• I hate OKRs... and other thoughts about goal setting: https://mollyg.substack.com/p/i-hate-okrs-and-other-thoughts-about• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• James Clear’s quote: https://www.goodreads.com/quotes/9614600-problem-1-winners-and-losers-have-the-same-goals• Founder mode: https://paulgraham.com/foundermode.html• Stripe: https://stripe.com• Patrick Collison on X: https://www.linkedin.com/in/patrickcollison• John Collison on X: https://x.com/collision• Seth Godin’s best tactics for building remarkable products, strategies, ...
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    1 h y 32 m
  • We replaced our sales team with 20 AI agents—here’s what happened | Jason Lemkin (SaaStr)

    We replaced our sales team with 20 AI agents—here’s what happened | Jason Lemkin (SaaStr)
    Jan 1 2026
    Jason Lemkin is the founder of SaaStr, the world’s largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn’t, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he’s using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason’s 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Lemkin(04:36) What SaaStr does(07:13) AI’s impact on sales teams(10:11) How SaaStr's AI agents work and their performance(14:18) How go-to-market is changing in the AI era(19:19) The future of SDRs, BDRs, and AEs in sales(22:03) Why leadership roles are safe(23:43) How to be in the 20% who thrive in the AI sales future(28:40) Why you shouldn't build your own AI tools(30:10) Specific AI agents and their applications(36:40) Challenges and learnings in AI deployment(42:11) Making AI-generated emails good (not just acceptable)(47:31) When humans still beat AI in sales(52:39) An overview of SaaStr's org(53:50) The role of human oversight in AI operations(58:37) Advice for salespeople and founders in the AI era(01:05:40) Forward-deployed engineers(01:08:08) What's changing and what's staying the same in sales(01:16:21) Why AI is creating more work, not less(01:19:32) Why Jason says these are magical times(01:25:25) The "incognito mode test" for finding AI opportunities(01:27:19) The impact of AI on jobs(01:30:18) Lightning round and final thoughts—Referenced:• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• SaaStr Annual: https://www.saastrannual.com• Delphi: https://www.delphi.ai/saastr/talk• Amelia Lerutte on LinkedIn: https://www.linkedin.com/in/amelialerutte/• Vercel: https://vercel.com• What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google): https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently• Everyone’s an engineer now: Inside v0’s mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• ElevenLabs: https://elevenlabs.io• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Bolt: https://bolt.new• Lovable: https://lovable.dev• Harvey: https://www.harvey.ai• Samsara: https://www.samsara.com/products/platform/ai-samsara-intelligence• UiPath: https://www.uipath.com• Denise Dresser on LinkedIn: https://www.linkedin.com/in/denisedresser• Agentforce: https://www.salesforce.com/form/agentforce• SaaStr’s AI Agent Playbook: https://saastr.ai/agents• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan• Brian Halligan’s AI: https://www.delphi.ai/minds/bhalligan• Sierra: https://sierra.ai• Fin: https://fin.ai• Deccan: https://www.deccan.ai• Artisan: https://www.artisan.co• Qualified: https://...
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    1 h y 42 m
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