필터 결과
16개정렬
19:13ENJudgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Era진행자 Lenny RachitskyGoogle Search's Robby Stein says a PM's core skill is decision making, and walks through how to understand people, diagnose root causes and polish the craft, with AI helping at each step.
28:48ENWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Bets진행자 Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
21:50ENSharpen the Knife: Why Simplicity Wins in Product, Story, and Life진행자 Lenny RachitskyA product leader’s case for building the one indispensable thing, using familiar patterns, and telling the story customers already know.
22:31ENTen Regrets: Marty Cagan on What He Got Wrong About Product진행자 Lenny RachitskyAt Lenny and Friends Summit, Marty Cagan revisits his decades of product advice and names the ten things he would change.
17:22ENDon't Become a Software Factory: Why Context Is the Real Product진행자 Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.
19:31ENBuild the Factory, Not Just the Product: How Ramp Chases Bottlenecks Across the Whole Development Loop진행자 Lenny RachitskyRamp CPO Geoff Charles walks through the AI agents his team built for every stage of product development, and what they mean for the PM's role.
26:42ENSeeing the Matrix as a Product Leader: Scott Belsky’s Cardinal Rules for Products People Love진행자 Lenny RachitskyScott Belsky distills hard-won lessons on simplicity, defaults, empathy, talent and taste in the age of AI.
26:40ENGet to the Punchline: How Figma's Slides Team Won Trust Instead of Just a Green Light진행자 Lenny RachitskyFigma's Mika and Yuki explain why the standard PM playbook for product reviews backfires — and the tactics they used instead to get Figma Slides built, funded and launched.
23:57ENWrite Your Last Roadmap: Claire Vo on Building When Code Is Cheap진행자 Lenny RachitskyIn a talk at the Lenny and Friends Summit, Claire Vo argues that cheap AI execution has made feature roadmaps dangerous and that teams should plan around convictions and evidence instead.
17:35ENHands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shop진행자 Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.
21:48ENDon't Build Zombie UI: Katie Dill on Scaling Intent and Craft in the AI Building Boom진행자 Lenny RachitskyStripe's head of design argues that as AI lets everyone build, a clear point of view, encoded standards, ruthless editing and real creative ambition are what keep products from turning generic.
18:32ENBuild a Lab Inside Your Product Team: Dan Shipper on Keeping Up With a Moving AI Frontier진행자 Lenny RachitskyEvery CEO Dan Shipper explains how a tiny, disposable-experiment lab can coexist with a focused product team, and how to move winners from one into the other.
22:15ENFrom Purpose to Product: Ebi Atawodi’s Playbook for a Vision That Ships진행자 Lenny RachitskyHow YouTube Studio’s vision was built, socialized, and turned into live products—plus a practical playbook for product managers at any level.
20:16ENProduct Management Is Dead. What Comes Next Is an AI-Powered Triple Threat진행자 Lenny RachitskyClaire argues that AI is collapsing the PM craft and replacing the product triad with multi-skilled leaders backed by agents, tools and a culture of automation.
24:50ENThe Rituals Behind Great Decisions: Eigenquestions, Dory/Pulse, and the Forum That Replaces Standing Meetings진행자 Lenny RachitskyHow Coda and other companies design decision rituals—from eigenquestions and two-way write-ups to multi-threaded forums and proactive stakeholder tags.
29:09ENPlan in 90-Day Windows: How OpenAI's Product Leaders Ship Fast Without Losing the Plot진행자 Lenny RachitskyOpenAI's Tara Seshan and Nan Yu tell Claire Vo how they ship imperfect features, design agents people can follow, work with research, and think about 2027.









