Podcasts about CPO

Francois Ajenstat is the  Founder and CEO of Golden Analytics, an AI-native business intelligence platform. He launched the company from stealth in April 2026 after nearly three decades building other people's analytics products. He was CPO at Tableau from the early startup days through its IPO and Salesforce acquisition, then CPO at Amplitude. Now he's founder and CEO of Golden Analytics. Francois believes the best products are love letters to the people who use them. He's been in the industry long enough to know what's broken, and Golden is his answer.Visit https://www.goldenanalytics.com/ to learn more.See omnystudio.com/listener for privacy information.

Ask a question hereWARNING: This episode is intentionally abrasive. It contains strong language, blunt opinions, and an alarming lack of patience for sales pitches disguised as education. If professional disagreement offends you, consider this your continuing education credit in hurt feelings. Not all pool industry education is created equal—and “free” education is rarely free.In this episode, Rudy examines the difference between manufacturer-funded seminars, paid independent instruction, field experience, and research-based education. A company trainer may know the product inside and out, but does that knowledge survive on a real equipment pad? A veteran may have decades of stories, but do those personal experiences have evidence behind them? And when every road in a seminar conveniently leads to the sponsor's product, did you attend a class—or a sales pitch with continuing education credits stapled to it?Rudy also addresses the criticism he received after publicly supporting Pool Brain's hiring of Erik Knight. Respecting someone does not mean agreeing with every position they hold. Professional disagreement is healthy when people show their work, provide sources, remain open to challenges, and understand the limits of their own knowledge.Before investing your money—or four hours of your life and half a turkey sandwich—research the instructor as carefully as you research the class.In This EpisodeWhy supporting an educator does not require treating everything they teach as gospelErik Knight's role in bringing LSI into the everyday pool industry conversationThe difference between disagreement and intellectual dishonestyWhy today's pool professionals may be overwhelmed by too much educationManufacturer education versus paid independent instructionWhy “free” seminars still have a cost and an agendaThe difference between product knowledge and field experienceWhy personal experience is valuable—but not automatically universal truthHow research and field experience should challenge and strengthen one anotherThe warning signs of a sales presentation disguised as educationQuestions to ask before registering for any classWhy expertise in one subject does not qualify someone to teach everythingThe value of an instructor willing to say, “I don't know”The strongest educators understand both the literature and the realities of the field. They identify whether they are presenting scientific evidence, professional judgment, product-specific training, or personal observation—and they never pretend those categories are interchangeable.A famous name only proves the marketing worked. A company title tells you who employs the speaker. A registration fee tells you what the class costs. None of those things tells you whether the instructor deserves your time.Research does. Transparency does. Relevant experience does. Evidence does.2026 Pool Industry Mentor Recognition SponsorsBlueRay XLUnited ChemicalLaMotte CompanyRev'd Up ApparelAquaComfort Water GroupAquaStar Pool ProductsThe Global Leader in Safety, Dependability, & Innovation in Pool Technology.POOL MAGAZINEPool Magazine is leading up to the minute news source for Swimming Pool News and Pool Features. Outhe 'How to Get Rid of Algae' handbookThe most comprehensive guide on algae prevention and remediation you will ever own.BLUERAY XLThe real mineral purifier! Reduce your pool maintenance costs & efforts by 50%CPO Certification ClassesAttend your CPO class with Rudy Stankowitz!Online Pool ClassesThe difference between you and your competition is what you know!Jack's MagicIf you know Jack's you'd have no stains!Service Industry NewsDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showThank you so much for listening! You can find us on social media:FacebookInstagramTik TokEmail us: talkingpools@gmail.com Support the showThank you so much for listening! You can find us on social media:FacebookInstagramTik TokEmail us: talkingpools@gmail.com

Drew Dillon is a tech founder and product leader, centered in the Bay Area. He is a person who likes to do a bit of everything, having an engineering background, but spending time in design, sales, and product management. He's been a part of many startups - Yammer being one of them, and several others from Y Combinator - along with being a consultant and fractional CPO. Outside of tech, he has 2 kids that take up most of his time. When he isn't on the sidelines of a soccer game, he enjoys woodworking and reading a good sci-fi book. At a prior startup, Drew built a system using AI, which spit out something reasonably shaped. He took a look at the process he went through to create it, and realized that there are a ton of disparate parts, all separate from the shared organizational context - IE the "why" behind what is being built. He set out to change that, and built institutional memory and product judgement within AI agents. This is the creation story of Brief. SponsorsTiger DataProtected HarborRenderLinkshttps://briefhq.ai/https://mymoxieai.com/https://www.linkedin.com/in/drewdil/Checkout our episode stacks on Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Joseph Lee is the Co-founder and CEO of Supademo, an AI-powered platform that helps teams create interactive product demos and guides for sales, marketing, onboarding, and customer education. He leads Supademo's product vision and growth, building intuitive, self-guided experiences that enable companies to simplify product education and drive engagement. Previously, Joseph co-founded Freshline, a B2B e-commerce platform for food distributors, where he served as CPO and led product strategy and execution from customer insight through product development. In this episode… Product demos are no longer just a sales tool — they can shape how prospects understand a product, how customers learn to use it, and how teams drive adoption at scale. But what makes a demo effective enough to move users from curiosity to real product value? Joseph Lee, a two-time startup founder and product builder, says the most effective demos help customers understand value faster by letting them experience a product rather than passively watch it. He highlights the power of interactive, self-serve experiences that can support sales, onboarding, training, enablement, and product education. Supademo's product-led approach also allows users to experience advanced features through reverse trials, while AI helps teams personalize, translate, maintain, and scale demos more efficiently. As these experiences become more intelligent and agentic, companies can guide users through workflows with less friction and help them reach meaningful outcomes sooner. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz speaks with Joseph Lee, Co-founder and CEO of Supademo, about using product demos to accelerate sales, onboarding, and adoption. They discuss interactive self-serve demos, AI-powered personalization, and in-app product education. Joseph also shares how Supademo evolved from SaaS into an agentic demo platform.

What does it take to stay relevant as a CPO when the very definition of the product manager role is being rewritten in real time? In this episode of the CPO Rising series hosted by Products That Count Resident CPO Renee Niemi, Carta CPO Vrushali Paunikar will be speaking on how she thinks about product management in an AI-transformed world, why she frames her best PMs as systems architects rather than feature owners, and what eight years at a founder-led company has taught her about trust, speed, and creating excess value. She also gets into how she structures product reviews, why the hardest problems at Carta are the ones you can't measure, and what battle scars really mean in a product leader.

The job of Chief People Officer has never been more demanding, and the way organizations decide who gets it is changing fast. Appointment volumes have fallen sharply, boards are rethinking what they value in an HR leader, and the profile of the people winning the top seats looks different from even two years ago. Experience of having done the job before is no longer the deciding factor it once was, which changes the calculation for everyone with ambitions on the role. So what are boards really looking for when they appoint a Chief People Officer? My guest this week is Olivia Sharp, a Partner at executive search firm Eton Bridge Partners, where she leads searches for Chief People Officers and board-level appointments and heads the firm's research into CPO hiring globally. In our conversation, she shares what the data reveals about experience versus potential, the skills that now define the role, and how TA leaders can position themselves for the top job. In the interview, we discuss: The fundamental shifts in what organizations value when hiring Chief People Officers Why boards are taking calculated risks on potential rather than buying proven experience What the appointment data means for first-time CPO candidates The leadership qualities that now matter more than HR expertise Where the traditional HR career path falls short The commercial capability gap in HR development How TA leaders can position themselves for the top job The swing back to external hiring and why new doesn't mean radical What will the Chief People Officer role look like in the future? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

In this episode, Saswat Panigrahi, Waymo's CPO, joins me for the third conversation in the "Inside PM" series. Saswat joined Waymo in 2016, back when it was still Google's self-driving car project and the entire product team was fewer than five people, and has spent all ten years since on the same product. In this episode, we discuss how his product org had to invent its own way of measuring good when there was no dashboard to check, why he hires and promotes for competence, courage, and compassion, and what it takes to be an executive builder at Waymo.–Key topics:• Cutting severe injuries "sixteen-fold"• Why measuring good driving became its own product, staffed by dedicated eval PMs• Why specifying what good looks like is AI's hardest problem• Injecting rain and fog into simulated scenes instead of waiting a decade for the real thing• The living room pitch to Waymo's first driverless riders• Avoiding "Brownian motion": channeling vision into tracks a team can actually execute• Spotting curiosity and grit in candidates in the age of AI• Training to the point of failure–Timestamps:00:00 Introduction03:25 Joining Google's self-driving car project before it was Waymo07:15 Why "feeling the pain" of failures builds real product leadership08:56 Motivating a team a decade away from a real product14:38 Was there ever a moment you thought this wouldn't work16:15 Why measuring "good" driving became its own product, staffed by dedicated eval PMs18:55 The living room pitch to Waymo's first driverless riders21:11 Confronting the 40,000 deaths US roads accept every year23:46 Cutting severe injuries "sixteen-fold"27:59 Training to the point of failure33:27 Spotting curiosity and grit in candidates in the age of AI37:14 Integrity, and sleeping at night over what you approved41:02 A tree of metrics, not a union list of 37 dashboards47:14 Competence, courage, and compassion: what builds followership53:53 What AI has democratized for product discovery and research57:41 Why specifying "what good looks like" is AI's hardest problem–Brought to you by:• Firecrawl—the web data API for AI agents. Use code THESKIP for 10K free credits• Jira—Do the right work with Jira–Referenced:• AMD• Edwin Markham's poem on preparedness• Google X• Inside PM at Meta• Inside PM at Stripe• MMLU• NASA• Piccadilly Circus• Transformers• Waymo–Where to find Nikhyl:• Twitter/X• LinkedIn–Where to find Saswat:• Twitter/X• LinkedIn–Join The Skip:• Skip Coach• Skip Community–Find The Skip:• Website• Substack• YouTube• Spotify• Apple Podcasts–Don't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

No new episode this week, we're on a break. So, here's one from November 2025 that just became relevant again: Perplexity's free year with Airtel has begun expiring, and the numbers are just being reported: https://techcrunch.com/2026/08/18/perplexitys-free-ai-offer-left-it-with-millions-more-users-in-india/Listen back to what we predicted and how things panned out.------This week, Two by Two debuts a new format: “Reverse engineering the playbook.”Hosts Rohin Dharmakumar and Praveen Gopal Krishnan attempt to crack the math behind this recent wave of AI-telco partnerships in India. Why are companies like Perplexity, Google, and OpenAI racing to bundle their expensive premium subscriptions with Airtel, Jio, and Phonepe? To decode the economics, they are joined by two industry experts with firsthand experience managing these exact types of deals: Chandrashekhar Vattikuti (ex-CPO of Inmobi and SVP of their Telco Cloud business) and Prakash Deep Maheshwari (head of product at Grab and former director of growth for Netflix in India and Southeast Asia).The group explores whether Indian telcos are desperate for differentiation or simply cashing in on a gold rush where the smartest move is to sell shovels–or in this case, subscribers. Prakash argues this is a classic Prisoner's Dilemma: once one telco bundles an AI service, the others have no choice but to follow.They also break down the actual structure of these deals, from minimum guarantees to the marketing halo the partnerships create. The conversation gets into why OpenAI likely entered these deals “kicking and screaming” to protect its platform ambitions, while Chandra offers a reality check on whether these massive user numbers will actually stick around once the free periods end.Episodes referenced in the conversation: 1. ‘Do we even need product managers?'– Two by Two episode 13 with Chandrashekhar Vattikuti 2. ‘Threat models, using taste to defend margins, ChatGPT's ‘collab' with Phonepe'- Zero Shot episode 9

AI is forcing us to rethink a question most organizations have avoided for years: what is uniquely valuable about human work when intelligence itself is no longer scarce?Tatyana Mamut, CEO of Wayfound and former CPO of Nextdoor, joins me to explore AI adoption through a lens that goes beyond software. Drawing on her background in anthropology, economics, organizational design, and product leadership, Tatyana explains why the real challenge is designing the rules, tools, norms, incentives, and relationships that shape how humans and AI agents work together.We get practical about what this means at both an individual and organizational level. We explore the human capabilities that become more valuable as AI takes on more routine mental work, why fear leads companies into bad AI decisions, how poorly designed incentives can push agents toward unexpected behavior, and why the subject-matter experts closest to the work need to become responsible for managing the agents operating alongside them.Key TakeawaysHuman comparative advantage is changing: As AI takes on more mental work, people need to rethink where their uniquely human value comes from.Develop taste, judgment, relationships, and performance: Tatyana sees these as practical areas where people can complement AI rather than compete with it.AI adoption is an organizational design problem: Success depends on redesigning rules, tools, norms, incentives, and accountability around the technology.Goals and guardrails can still produce the wrong behavior: An agent may follow its objective while still acting against the organization's intent, as Tatyana's refund example shows.Subject-matter experts need to become agent managers: The people closest to the work must be able to monitor, correct, and improve the agents operating in their domain.Additional InsightsOrganizational culture can be consciously designed: Tatyana frames culture as the interaction of rules, tools, and unwritten norms that shape behavior.Relationships become more valuable as outreach gets automated: When AI increases the volume of generic communication, trust and genuine relationships become more important.AI can generate options, but humans still decide what matters: Judgment becomes critical when the challenge shifts from what can be done to what is worth doing.Small failure rates compound across multi-agent systems: Edge cases that seem minor with one agent can become more significant as agents are connected into workflows.Building an agent and managing one are different jobs: Engineering can help create the agent, but functional owners must take responsibility for its ongoing performance.Episode Highlights00:00 - Episode RecapTatyana frames the AI shift as a deeper question about what it means to create value as a human when intelligent systems increasingly share responsibility for thinking and decision-making.02:10 - Guest Introduction: Tatyana MamutI introduce Tatyana Mamut, CEO of Wayfound and former CPO of Nextdoor, whose experience across anthropology, organizational design, and product leadership shapes her approach to human and AI systems.05:06 - From Economics to AnthropologyTatyana explains how the failure of economic models to predict events such as Russia's 1998 economic collapse pushed her toward studying the mental models and social institutions that shape human behavior.08:07 - Designing Culture Through Rules, Tools, and NormsTatyana breaks organizational culture into practical components, showing how formal rules, available technologies, incentives, status, beliefs, and unwritten norms interact to shape behavior.13:16 - The Multi-Sapiens WorkplaceTatyana argues that AI is forcing people to reconsider their comparative advantage as humans as intelligent systems begin participating in higher-level thinking and decision-making.18:42 - Four Human Capabilities to DevelopTatyana identifies taste, judgment, relationships, and performance as four areas people can strengthen as AI absorbs more routine mental work.23:32 - Why Human Relationships Matter MoreBarry and Tatyana discuss how automation can remove administrative work while making authentic relationships, lived experience, trust, and storytelling increasingly valuable.27:21 - Fear Is the Enemy of ProgressTatyana explains how fear can push organizations either to rush into AI using outdated assumptions or retreat when the technology does not behave like traditional software.29:11 - AI Agents Need Different SupervisionTatyana describes why AI agents require governance and oversight based on organizational context, including goals, rules, norms, and definitions of what good performance looks like.31:32 - The Incentive ProblemThe conversation turns to how model behavior and organizational goals interact, including Tatyana's view that sycophantic behavior can create unexpected feedback loops in production agents.32:34 - When an Agent Breaks the Intent of the RuleUsing a customer service example, Tatyana shows how an agent trying to maximize case closure and customer satisfaction can suggest a refund even when its guardrails tell it not to.38:59 - Escaping Endless Pilot ModeBarry explores why uncertainty can keep organizations trapped in experimentation rather than allowing AI systems to move into real operating environments.40:10 - Who Owns the Agent After Deployment?Tatyana argues that the functional experts closest to the work need direct responsibility and visibility once an AI agent is operating in production.44:41 - Treat AI Agents Like New EmployeesTatyana compares engineering teams to recruiters who can help bring an agent into the organization, while the business owner remains responsible for coaching, compliance, and ongoing performance.46:14 - Closing ReflectionsBarry closes by reflecting on the emerging skills leaders and individuals will need as they learn to manage systems in which humans and AI agents increasingly work together.FAQsQ1. What human skills become more valuable as AI takes on more work?Tatyana highlights four areas: taste, judgment, relationships, and performance. Her argument is that AI may generate options, perform routine mental work, and help with administration, but humans still create value by deciding what is good, what is worth doing, whom to trust, and how to motivate or persuade other people.Q2. What does Tatyana Mamut mean by a “multi-sapiens workplace”?She uses the phrase to describe a workplace where humans are no longer the only entities carrying out higher-level thinking and decision-making. In that environment, organizations need new rules, tools, and norms for determining how humans and AI systems work together and where responsibility sits.Q3. Why does Tatyana say AI adoption is an organizational design challenge?Because deploying an AI system changes more than the technology stack. Organizations also have to consider incentives, governance, supervision, communication, accountability, cultural norms, and who has the authority to evaluate and correct an agent's behavior.Q4. Why do AI agents need supervision even when they have guardrails?Tatyana explains that an agent can technically pursue its assigned goal while still behaving in a way the organization did not intend. Her customer service example shows an agent suggesting a refund because doing so could resolve the case and improve customer satisfaction, despite instructions designed to prevent refunds.Q5. Who should manage AI agents after they are deployed?Tatyana argues that responsibility should move toward the subject-matter experts who understand the work the agent performs. Engineering or IT may build and deploy the system, but salespeople should oversee sales agents, finance teams should oversee finance agents, and other functional experts should have direct access to monitor, correct, and improve their agents.Useful ResourcesTanyana Mamut on LinkedIn - https://www.linkedin.com/in/tmamut/ Wayfound - https://www.wayfound.ai/ Artificial Organizations - https://geni.us/artificialorgs Nextdoor - https://blog.nextdoor.com/ Claude - https://claude.com/ Salesforce -

Ian Silber is the head of product design at OpenAI, where he has led the design of ChatGPT, Codex, and all of OpenAI's product experience for the past three years. Before OpenAI, he was at Artifact, the AI-powered news app built by the founders of Instagram. Prior to that, he spent eight years at Instagram, where he worked on products including Reels. Ian is one of the most consequential designers working in AI today, and he takes us inside how OpenAI designs ChatGPT, Codex, and the future of how we will interact with AI.In our in-depth conversation, we discuss:1. Why Ian believes this is the best time in history to be a product designer2. Why engineers 10x'd with AI but design teams haven't3. What OpenAI looks for when hiring designers4. “Just do less”: Ian's counterintuitive advice to his designers5. The future of ChatGPT as a super app6. Where humans still win: user understanding, invention, and point of view—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Ian Silber:• X: https://x.com/iansilber• LinkedIn: https://www.linkedin.com/in/iansilber• Website: https://iansilber.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 Ian Silber(02:14) Why designers in general feel anxious about AI(09:01) What makes specific designers thrive in the AI era(13:41) Why Ian says it's the best time in history to be a designer(17:13) How product roles are converging(22:24) Can AI design great products?(23:54) Where human judgment still matters(27:34) What Ian looks for when hiring designers(30:20) Why systems thinking matters(32:53) Balancing speed and craft(38:05) Designing for vastly different audiences(41:57) Solving the blank-box problem(43:31) How ChatGPT is evolving beyond chat(46:07) The vision for Codex(49:07) What Ian wishes he knew on day one(51:40) Why humility matters in AI(53:41) Advice for designers who are feeling overwhelmed(55:16) AI corner(57:43) Failure corner(01:00:45) Lightning round and final thoughts(01:05:52) Lessons from Groupon—Referenced:• OpenAI: https://openai.com• How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• 3 Spiderman Pointing meme template: https://www.kapwing.com/explore/3-spiderman-pointing-meme-template• OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape• Notion: https://www.notion.com• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Joel Lewenstein on LinkedIn: https://www.linkedin.com/in/joel-lewenstein• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• ChatGPT Work: https://openai.com/chatgpt-work• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Please Stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Maybe Happy Ending: https://www.maybehappyending.com• The Invite: https://www.imdb.com/title/tt14173636• Rivian: https://rivian.com• Waymo: https://waymo.com• Groupon: https://www.groupon.com• How a VC and a tech founder used AI to launch a brick-and-mortar business in their spare time | Andrew Mason (CEO of Descript) and Nabeel Hyatt (General Partner at Spark Capital): https://www.lennysnewsletter.com/p/how-a-vc-and-a-tech-founder-used• Andrew Mason on X: https://x.com/andrewmason• Kevin Systrom on LinkedIn: https://www.linkedin.com/in/kevinsystrom• Sam Altman on X: https://x.com/sama—Recommended book:• The Design of Everyday Things: https://www.amazon.com/dp/0465050654—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Blaine Billingsley is a Member of Technical Design Staff at OpenAI whose path into the field ran through music composition, spare-change website work at college, and a decade across Gmail, Airbnb, YouTube and Slack. At OpenAI he was hired to work on Presence, then redirected to solve a more immediate problem: making ChatGPT genuinely useful as a daily tool for designers. Working with a single engineer, he built the ChatGPT product design plugin — a bridge between the raw power of Codex and the day-to-day workflow of product teams. In this conversation with Randy Silver, he talks about what design actually means when your interface is a text box, why volume beats perfection in an age of infinite iteration, and why the fundamentals of good product thinking are more durable than the tools used to apply them.Key takeaways— The designer's job at an AI company has shifted from pixels to outputs. Deciding what "good" looks like, building the criteria to evaluate it, and heuristically assessing results is now a core part of the role — one that didn't exist in the same form at Gmail or Slack.— LLMs don't replace structured creativity techniques; they scale them. The crazy eights exercise squeezes eight ideas from a room of people in eight minutes. A well-directed ChatGPT session can return 80 in the same window, alone, while you're at lunch.— Volume beats perfection. The best way to make a pot isn't to try to make the best pot — it's to make a thousand pots. That logic now applies directly to prototyping: generate at scale, stay unattached, and find the nugget in the noise.— Evals are closer to synthetic user research than quality assurance. The hardest part isn't building the rubric — it's correctly anticipating what people will actually try to do. Show it to one more person and your assumptions will immediately break.— The second 80% problem hasn't gone away. Getting to a working prototype is dramatically faster; getting that prototype to production is still gruelling — and becomes harder still when platform direction shifts mid-sprint.— Small teams with AI assistance need to protect the rituals that keep them aligned. When two people can each produce a week's worth of work in an afternoon, parallel drift becomes the real collaboration risk.— Role boundaries are dissolving, but specialisations still matter. The question is less "what is your title" and more "what does the band need right now, and can you play that part?"— Experience brings judgment; freshness brings juice. The best work often comes from junior designers unconstrained by years of accumulated assumptions — and both things need to be in the room.Chapters (00:00) Introduction(01:14) Blaine's background: from music composition to product design (02:32) What design means at OpenAI (04:21) The ChatGPT product design plugin (06:12) Deciding what to build: the early exploration (10:05) Structured creativity and LLM-powered ideation (13:37) Volume over perfection: the thousand pots approach (16:13) Designing as a two-person team (20:29) What is the job now? (23:33) Evals as synthetic user research (27:08) Testing at scale when you can't know your users (30:15) How they actually did the research (33:01) The second 80%: from prototype to production (35:06) Staying aligned without roadmaps (38:19) Demo: the product design plugin (44:52) When a prototype isn't ready to ship (48:26) Design sprints, reimagined (49:27) Advice for joining an AI-first product team (52:17) The jazz analogy: experience, freshness and your role in the band Featured LinksChatGPT for Work: https://openai.com/chatgpt Codex: https://openai.com/codex Figma: https://figma.com FigJam: https://www.figma.com/figjam Linear: https://linear.appOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth and Ralph O'Brien speak with the Privacy Commissioner of Australia, Carly Kind, about the legislative developments in Australia, indigenous privacy, enforcement action on data breaches, and of course the U 16 social media ban.  If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us!Subscribe today HERE From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

SMEs are central to the UAE economy, yet access to credit remains one of their biggest challenges.In this episode of Couchonomics with Arjun, Hassan Reda, Co-Founder & CPO of CredibleX, and Anand Nagaraj, Co-Founder & CEO of CredibleX, unpack why SME lending has remained difficult for banks and fintechs, and what needs to change to close the financing gap.They explain how embedded lending can solve the distribution problem, why working-capital finance requires a different approach to traditional business loans, and how better underwriting, alternative capital and AI could reshape SME financing in the UAE.

Taking care of your health can be a full-time job, and a lot to keep track of. That's why you need a Wellness Document. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

This is the next episode in a series on what product management becomes when the AI hype meets real constraints. I sat down with three CPOs living about a year ahead of the rest of us: Sharmeen Chapp, Midjourney's first-ever product hire; Jiaona Zhang (JZ), CPO at Laurel; and Henrik Berggren, who runs product and design at Mutiny. Their teams are tiny on purpose, yet these are companies with years of history, paying customers, and enterprise contracts—not the frictionless blank slates that "AI-native" suggests. We get into who should actually be building, how customer signal should move through a company, and how each of them installed an AI-first operating system without tipping into theater.–Key topics:• What never changes in PM• Laurel's "captain" model: everyone is a builder• Zoning the codebase like a garden so everyone can build safely• Making the whole company understand the customer• The AI Operations team: pairing hackers with leaders• Treating the AI transformation as a product, with employees as the users• Moving at "Cheetah speed": sprint when the tools jump, then rest• Current PMs are managing a fleet, not an empire• Why the strongest leaders are going hands-on now–Timestamps:(00:00) Introduction(03:30) Meet the three CPOs: Midjourney, Laurel, Mutiny(08:45) Laurel's "captain" model: everyone is a builder(13:03) Zoning the codebase like a garden(17:19) Governing change when anyone can ship to production(18:23) Sharmeen at Midjourney: installing product judgment(21:53) Henrik on finding the line by stepping over it(24:57) A Slack channel that pings on every meaningful action(26:59) Running AI in public so skeptics convert(29:29) The AI Operations team: pairing hackers with leaders(32:15) Incentives, public systems, and evergreen context(36:46) Managing context overload with distributed PM(39:45) A user interview to shareable clips in 45 minutes(45:16) First-party vs. third-party: what to build, what to buy(47:34) The token-maximization "blip" and raising the floor(49:31) Managing a fleet, not an empire(53:40) "Cheetah speed": sprint when the tools jump, then rest(56:37) Why the strongest leaders are going hands-on now(57:29) Does the pendulum swing back to old-school PM?(59:48) What never changes: business, customer, orchestration–Brought to you by:• Firecrawl—Power AI agents with clean web data• Use code THESKIP for 10K free credits–Referenced:• Anthropic• Cursor• Devin• Dropbox• Dust• GitHub• Google Drive• Grain• Granola• Laurel• Meta• Midjourney• Mutiny• Notion• Procter & Gamble• Slack• Stripe• Twitch–Where to find Nikhyl:• Twitter/X• LinkedIn–Where to find Sharmeen:• Twitter/X• LinkedIn–Where to find JZ:• Twitter/X• LinkedIn–Where to find Henrik:• Twitter/X• LinkedIn–Join The Skip:• Skip Coach• Skip Community–Find The Skip:• Website• Substack• YouTube• Spotify• Apple Podcasts–Don't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

What does it mean for a CPO to truly own outcomes? In this episode of the CPO Rising series hosted by Products That Count Resident CPO Renee Niemi, BetterHelp CPO Terre Layton will be speaking on how product leadership is evolving in the age of AI, drawing on a career that started with AI research long before LLMs existed. Terre shares why CPOs are now business operators with product as their primary lever, how she thinks about building teams for the agentic era, and why time to value and retention are the two metrics that tell her everything.

What if the number you've been too scared to say out loud is exactly the number you should be asking for? A few years ago, Erica was hunched over her phone on her back porch about to ask for $100,000 more than she was currently making. Her hands were sweating. Her chest was tight. And a voice in her head kept saying don't push it, don't be greedy, don't blow this. She said the number anyway. And she got it. This is the full story - the research, the mindset work, and the exact words she used.ABOUT THIS EPISODEThis is the episode Erica gets asked about more than anything else - and she has never done a full breakdown of it until now. Not just the strategy (though the strategy is here, in detail), but the sticky floor that almost kept her from making the ask in the first place. She walks through the entire SNAP method applied to her own salary negotiation, shares the Harvard Business Review data that would have saved her weeks of stomach aches, and reveals the AI-powered negotiation toolkit she built inside HER Collective so no woman ever has to guess at this again. Whether you have a job offer sitting in front of you, a promotion conversation coming up, or a review in a few weeks - this one is for you.INSIDE THE EPISODEThe $100,000 Ask. What Erica was feeling in her body when she sat down to make the ask, why she almost talked herself out of it, and what finally made her say the number out loud. Including the three seconds of silence that felt like three years.Gratitude as a Cage. The sticky floor that almost cost her the negotiation wasn't lack of confidence. It was being so grateful for the opportunity that she was ready to accept whatever kept the door open. She breaks down why this pattern shows up in so many of the women she coaches - and how to name it before it costs you.The Harvard Data Point That Changes Everything. Negotiation is very unlikely to actually cost you the offer. The rescinded offer, the burned bridge - it's a story women tell themselves. The data says otherwise, and knowing this changes how you walk into every conversation.How to Research Your Number. Real market data is not a salary aggregator. Erica walks through the four variables that actually matter (role, company size, industry, geography) and explains why most people only use one or two of them - and why that gap is costing them.Translate Scope Into Business Impact. The move most people miss. She didn't walk in with a list of responsibilities. She walked in with the dollar value of what she was about to own - turnover cost, cost per hire, benefit spend - and handed her future boss the business case he needed to fight for her.The SNAP Method Applied to Salary. Stop and notice what your body is telling you. Name the sticky floor underneath the fear. Ask and answer the honest questions (including: what actually happens if they say no?). Pivot from protecting the offer to making the case.The HER Collective Negotiation Toolkit. The AI-powered tool Erica built so that the compensation analysis she did as a CPO is now available to every woman - not just the ones who spent a decade in HR. It analyzes role, scope, industry, geography, and company size and gives you a number backed by real market data. ERICA'S RESOURCES & LINKSStart small with me inside HER Jumpstart:https://her-collective.mn.co/plans/1985289?bundle_token=60b2c61d62213cdbd16d437cdc0e4204&utm_source=manual

Dr Cat Hicks is a psychological scientist and the founder of Catharsis, a human-centred research consultancy that works with engineering organisations. After self-funding her first open-access study into developer motivation, she was recruited to lead the Developer Success Lab at Pluralsight — a three-year programme that generated large-scale empirical research across hundreds of companies and more than 11,000 developers. Her book, The Psychology of Software Teams, published in July 2026, brings that evidence to bear on the question her industry keeps asking: why do smart people in smart organisations so often struggle to work well together? We talk about the hidden costs of treating developers as interchangeable units, what large-scale cycle time data reveals about individual performance, and how product managers can build the conditions for teams to actually thrive.Key takeawaysThe "brains and jars" model — treating developers as interchangeable, isolated computing units — does not just feel demeaning; it actively undermines the collaborative, social work that makes software teams effective, and is linked to burnout, self-censorship, and a breakdown of trust.Cycle time data from 216 companies and over 11,000 developers shows that individual performance fluctuates dramatically week to week — it is not a stable personal trait — which means slow periods are usually an environmental problem, not a personal one.Over-production pressure (the constant pull towards short-term delivery) has measurable cascading effects: developers stop mentoring, stop surfacing problems to managers, and stop investing in long-term code quality. It can be measured and, with committed leadership, changed within weeks.AI is producing genuine identity threats, not just productivity disruption. Teams that lower the "threat temperature" — framing change as a shared technical challenge and affirming that new skills can always be learnt — unlock significantly more adaptive and curious behaviour.Metacognitive scaffolding — building structured strategies for thinking about your own thinking, not just raw output — is more trainable than cognitive capacity and is almost entirely absent from how agentic coding environments are currently designed.Superordinate goals (shared outcomes that transcend individual preferences) allow diverse teams, including those who prefer deep solo work, to collaborate productively without demanding that everyone care about the product in the same way.Chapters(00:00) Opening (01:06) Cat's background and the book (04:40) Defining a software team (07:02) Building the Developer Success Lab (10:26) The brains and jars model (13:14) What the model costs teams (17:54) Why communicating value is so hard (19:04) What change looks like in practice (23:01) Code review anxiety and cycle time research (27:55) AI's effect on developer identity (31:57) Agentic coding and cognitive fatigue (35:46) Threat, play, and psychological safety (38:19) Working across disciplines (43:04) What product managers can do (48:00) Wrap-upReferencedThe Psychology of Software Teams by Dr Cat HicksThe Programmer's Brain by Felienne HermansThe Psychology of Computer Programming by Gerald WeinbergDeveloper Success Lab (Pluralsight)DORA projectCatharsis — Dr Cat Hicks's consultancyFight for the Human — Dr Cat Hicks's newsletterDr Cat HicksLearning Opportunities Claude skill — by Dr Cat HicksDeliberate practice and chess improvement study (44,000 Chess.com players)Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth, Ralph O'Brien, and Dr. K Royal, discuss a week in privacy in the midst of hot temperatures in Europe and multiple fires arund the world. This week, we bring you some enforcement activities, regulator inquiries, old laws for new purposes, and guidance from various regulators on child safety. If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us!Subscribe today HERE From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

What if the number you've been too scared to say out loud is exactly the number you should be asking for? A few years ago, Erica was hunched over her phone on her back porch about to ask for $100,000 more than she was currently making. Her hands were sweating. Her chest was tight. And a voice in her head kept saying don't push it, don't be greedy, don't blow this. She said the number anyway. And she got it. This is the full story - the research, the mindset work, and the exact words she used.ABOUT THIS EPISODEThis is the episode Erica gets asked about more than anything else - and she has never done a full breakdown of it until now. Not just the strategy (though the strategy is here, in detail), but the sticky floor that almost kept her from making the ask in the first place. She walks through the entire SNAP method applied to her own salary negotiation, shares the Harvard Business Review data that would have saved her weeks of stomach aches, and reveals the AI-powered negotiation toolkit she built inside HER Collective so no woman ever has to guess at this again. Whether you have a job offer sitting in front of you, a promotion conversation coming up, or a review in a few weeks - this one is for you.INSIDE THE EPISODEThe $100,000 Ask. What Erica was feeling in her body when she sat down to make the ask, why she almost talked herself out of it, and what finally made her say the number out loud. Including the three seconds of silence that felt like three years.Gratitude as a Cage. The sticky floor that almost cost her the negotiation wasn't lack of confidence. It was being so grateful for the opportunity that she was ready to accept whatever kept the door open. She breaks down why this pattern shows up in so many of the women she coaches - and how to name it before it costs you.The Harvard Data Point That Changes Everything. Negotiation is very unlikely to actually cost you the offer. The rescinded offer, the burned bridge - it's a story women tell themselves. The data says otherwise, and knowing this changes how you walk into every conversation.How to Research Your Number. Real market data is not a salary aggregator. Erica walks through the four variables that actually matter (role, company size, industry, geography) and explains why most people only use one or two of them - and why that gap is costing them.Translate Scope Into Business Impact. The move most people miss. She didn't walk in with a list of responsibilities. She walked in with the dollar value of what she was about to own - turnover cost, cost per hire, benefit spend - and handed her future boss the business case he needed to fight for her.The SNAP Method Applied to Salary. Stop and notice what your body is telling you. Name the sticky floor underneath the fear. Ask and answer the honest questions (including: what actually happens if they say no?). Pivot from protecting the offer to making the case.The HER Collective Negotiation Toolkit. The AI-powered tool Erica built so that the compensation analysis she did as a CPO is now available to every woman - not just the ones who spent a decade in HR. It analyzes role, scope, industry, geography, and company size and gives you a number backed by real market data. ERICA'S RESOURCES & LINKSStart small with me inside HER Jumpstart:https://her-collective.mn.co/plans/1985289?bundle_token=60b2c61d62213cdbd16d437cdc0e4204&utm_source=manual

Title: The Periodical Overtures Track: J.C. Bach - La Giula, W. G22: Overture: I. Allegro Di Molto Artist: Anthony Halstead and the Hanover Band Publisher: ℗ 1995 CPO

Email is a tool that could easily become a clutter-filled mess. How should you approach it? Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

Tom Verrilli is the chief product officer at Whatnot, a live shopping platform that's become the fastest-growing U.S. marketplace business in history, with over $8 billion in GMV. Before joining Whatnot, Tom was CPO at Twitch and director of product growth at Twitter (during one of the most turbulent periods in the company's history).In our in-depth conversation, we discuss:1. Why Whatnot's product team was founded on the premise “we regret that product management exists”2. How AI is reshaping the PM role3. What Tom looks for when hiring PMs4. The shift toward senior ICs doing the work5. How AI has transformed data science at Whatnot6. Tom's “play the accordion” mental model7. Why “hire great people and get out of their way” fails8. His biggest lessons from his time at Twitter—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/this-cpo-regrets-that-product-management—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tom Verrilli:• X: https://x.com/tdrobbo• LinkedIn: https://www.linkedin.com/in/tom-robertson-042—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(02:40) “We regret that product management exists”: what it means and why(08:30) When specialization makes sense, and when it doesn't(15:20) How Whatnot structures its PM org(17:28) What 31,832 PM applications revealed about the function(19:40) How to develop systems thinking(22:10) The shift to senior ICs doing IC work(32:26) Advice for PMs struggling in today's market(35:22) How AI has transformed work at Whatnot(41:14) The data scientist problem(42:48) Which roles are trending up and down(44:48) What the product team of the future looks like(46:29) Why core PM skills are the most durable in an AI world(49:23) How to get the most out of the people you hire(53:32) Navigating the CPO-founder relationship(57:34) Advice for aspiring CPO's(59:16) How to know when to stand firm and when to step back(01:01:38) Play the accordion: balancing strategic vision with fast iteration(01:06:35) Agentic commerce vs. live commerce(01:09:46) Lessons from Twitter(01:13:07) Failure corner(01:15:45) Lightning round and final thoughts—Referenced:• Whatnot: https://www.whatnot.com• Building, and Whatnot: https://www.linkedin.com/pulse/building-whatnot-tom-verrilli-bwkdc• Twitch: https://www.twitch.tv• Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO): https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future• Peter Bailis on LinkedIn: https://www.linkedin.com/in/pbailis• Mike Krieger on LinkedIn: https://www.linkedin.com/in/mikekrieger• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Ben Kus on LinkedIn: https://www.linkedin.com/in/benkus• Henry Shi on LinkedIn: https://www.linkedin.com/in/henrythe9th• Hex Threads: https://hex.tech/product/threads• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Grant LaFontaine on LinkedIn: https://www.linkedin.com/in/grantlafontaine• Logan Head on LinkedIn: https://www.linkedin.com/in/logan-head• Emmett Shear on LinkedIn: https://www.linkedin.com/in/emmettshear• Kara Swisher on X: https://x.com/karaswisher• Jeff Bezos: Amazon and Blue Origin—Lex Fridman Podcast: https://www.youtube.com/watch?v=DcWqzZ3I2cY• Star City on AppleTV+: https://tv.apple.com/us/show/star-city/umc.cmc.2l8p785osmtmiyk64bh6tfde1• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• Service NSW Mobile App: https://www.service.nsw.gov.au/services/service-nsw-mobile-app• Rudyard Kipling: https://en.wikipedia.org/wiki/Rudyard_Kipling• E-fish.com: https://www.e-fish.com—Recommended books:• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/dp/0062273205• The Purpose Driven Church: Every Church Is Big in God's Eyes: https://www.amazon.com/dp/0310201063• Babel: Or the Necessity of Violence: An Arcane History of the Oxford Translators' Revolution―An Historic Fantasy of Dark Academia: https://www.amazon.com/Babel-Necessity-Violence-Translators-Revolution/dp/0063021439—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Amanda Kahlow, Founder & CEO of 1mind, joins Sam Jacobs, AJ Bruno, and Asad Zaman to break down how an AI-powered solutions engineer named Nigel took 33% of the talk time in a two and a half hour enterprise meeting and produced a $278,000 deal. Topics include why AI aimed at efficiency gains misses real revenue impact, Amanda's prediction that marketing, sales, and customer success collapse into one function within 12 months, and why AI adoption has to be top-down instead of bottoms-up. Plus, the 15 agents running behind every superhuman, a 98% accuracy bar measured by live evals, whether agents will negotiate with other agents on the buy side, and a bulls versus bears round on Salesforce, sales dinners, and the health of the average go-to-market team. Key Takeaways: - Most go-to-market teams are pointing AI at the wrong layer. Better forecasting, faster research, and cleaner dashboards make the people you already have marginally more productive, which is not where the revenue is. As Amanda Kahlow, Founder & CEO at 1mind, framed it: "My thesis is that buying and selling happens in the conversation." Everything built around the conversation to enable a seller is, in her words, yesterday's workflow. - Trust, not novelty, is what moves an enterprise deal. Amanda flew a red-eye to Austin for a second meeting with a CPO and CMO, brought a superhuman named Nigel on screen, and watched the room turn to the AI for depth even she could not provide. As she told it, "the CPO was like, Amanda, shut up, basically. I wanna talk to Nigel." The meeting scheduled for an hour ran two and a half, and produced "a $278,000 deal from one in-person meeting going through procurement in one week". Her read on why it worked: "People say people buy from people. You buy when you trust." - The human face on an AI agent is a click-through device, not the value. Amanda's verdict after a year of selling them: "The face is a novelty." 1mind drops the face entirely on live calls because the movement distracts. The important part is the conversational AI, where "each superhuman has roughly 15 agents working behind the scenes." One handles small talk, another loads the live demo, another builds the perspective slide a human seller would normally take a week to produce. - Bottom-up AI adoption is where the value leaks out. Amanda's pushback on the idea that people who use AI will simply eat the people who do not: telling every individual to go be more efficient produces slop and no measurable gain, while the real impact, in her words, "is going to come at the top down when we think about restructuring the org". Connect with the Hosts & Guests: Host: Sam Jacobs, CEO at Pavilion - https://www.linkedin.com/in/samfjacobs/ Host: AJ Bruno, CEO at QuotaPath - https://www.linkedin.com/in/ajbruno3/ Host: Asad Zaman, CEO at STA - https://www.linkedin.com/in/azaman1/ Guest: Amanda Kahlow, Founder & CEO at 1mind - https://www.linkedin.com/in/amandakahlow/ Topline is more than a YouTube Channel: Subscribe to Topline Newsletter: https://toplinemedia.substack.com/ Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack Chapters:  00:00 Introducing Amanda Kahlow 00:59 Building Superhumans At 1mind 03:24 Why Efficiency Gains Miss The Point 06:04 GTM Functions Collapse In 12 Months 08:48 The Ghost Note Debate 15:20 Nigel Takes 33% Of Talk Time 20:41 The Face Is Just Novelty 22:27 Fifteen Agents Behind One Superhuman 38:46 Compute Costs And AI Margins 41:19 How Accurate Are AI Agents? 47:08 Positioning An AI Company 52:13 When Agents Negotiate With Agents 53:54 Will CSM Jobs Survive? 57:56 Bulls and Bears 1:06:15 Boards, 6sense, And Burnout

Faith Forster has spent 15 years in product leadership. She was VP of product at Dex, acquired for approximately $600 million, and went on to serve as CPO at Legal, a payments and compliance platform. She now runs discovery.com, an AI-native platform that helps product leaders and teams make faster, better product decisions by connecting to their tools and synthesising competitor, customer and growth intelligence. She is also the driving force behind the Makers Manifesto — a cross-disciplinary set of values and principles for building great products in the age of AI, developed with 45 contributors from across product, engineering, design, and business leadership.We discuss:The manifesto emerged from 96 conversations with product leaders whose grasp of AI ranged from fully automated pipelines to treating it as a faster way to write PRDs — a gap that revealed an industry in urgent need of a shared reference point.Four values anchor the manifesto: purpose over possibility, value created over effort spent, learning loops over launch plans, and human accountability over full automation."Maker" was chosen over "builder" to signal that designers, engineers, salespeople, customer support staff, and founders all share equal ownership of the creation process — regardless of job title.Feature parity is no longer a defensible moat: when any competitor can replicate a capability within days, durable advantage must come from data, relationships, distribution, and business model.Product market fit can no longer be treated as a static milestone — in a market where products, competitors, and customer expectations shift simultaneously, fit must become a continuous, living part of decision-making."Done" now means adopted, not shipped. AI removes every excuse for clunky, one-size-fits-all experiences, and teams that still equate production deployment with completion are measuring the wrong thing.Making context explicit — codifying strategy in a form that agents and humans can both act on daily — is the principle teams consistently identify as their most urgent, immediate priority.Chapters00:00 Introduction 01:12 Faith's background 02:28 Origins of the Makers Manifesto 06:18 Makers Manifesto vs the Agile Manifesto 07:23 Why "maker" not "builder" 11:42 Four values and 16 principles 15:01 Purpose over possibility 19:10 Learning loops over launch plans 22:36 Who gets to be a maker 28:55 Durable advantage in the AI era 33:22 Staying close to customers 36:04 What's next for the manifesto 43:59 Wrap-upReferencedMakers Manifesto — https://makersmanifesto.orgdiscovery.com — Faith's AI-native product decision platformOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth, Ralph O'Brien, and Dr. K Royal, discuss a week in privacy. We have some jucy news from Europe, New Jersey, and the United Kingdom. Tune in! If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

Walk through a gentle productivity reset as your host needs one herself. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

In this episode, Alex Jung, cofounder and CPO of Unikraft, joins us at Heavybit DevGuild. Alex explains how Unikraft went from an academic unikernel project to a cloud platform for running highly efficient workloads. We talk about why unikernels can make applications faster, cheaper, and more secure, how AI agents are driving demand for sandboxed compute, and why the next wave of software generation may require a much more efficient cloud infrastructure layer.Links:• Alex Jung's LinkedIn• Alex Jung on X • Unikraft• Unikraft on GitHub • Unikraft open source project 

"If you build AI on top of weak foundations, you're going to have a very broken system." - Gaël De Martelaere, Chief Procurement Officer, Hexion AI is driving enormous change in procurement, but success relies on more than just new tools. The real challenge is rebuilding the foundations (data, process, and team mindsets) while still delivering results for the business today. In this episode, Gaël De Martelaere, CPO at Hexion, joins Philip Ideson to share how his team is moving beyond traditional procurement and redefining value for both customers and stakeholders. Gaël brings decades of experience, a healthy dose of curiosity, and a pragmatic focus on experimentation, not perfection. In this episode, Gaël also speaks about: -Transforming procurement to support broader business reinvention -Rebuilding foundational processes with AI in mind -Building digital fluency and accountability at every level -Focusing on experimentation over multi-year perfection plans -Why curiosity and sound judgment matter now more than ever   Links: Gaël De Martelaere on LinkedIn: https://www.linkedin.com/in/gaeldemartelaere/  Subscribe to the AOP Newsletter: https://resources.artofprocurement.com/art-of-procurement-podcast-subscribe  Subscribe to Art of Procurement on YouTube: https://www.youtube.com/@ArtofProcurement   

How do you actually put a dollar figure on friction? Chuck Moxley and Nick Paladino brought three guests from Blue Triangle to tackle the question they have been chasing for three years on the podcast.Every digital team knows friction is costing them money. The hard part has always been knowing how much and where to start fixing it. Amir Rozenberg, Blue Triangle's CPO walks us through a completely reimagined platform that automates what used to take weeks. The kicker: it tells you your business could gain millions based on specific friction points, then generates engineer-ready user stories you can drop straight into Jira.Andy Singh from customer success shares a counterintuitive insight: digital teams almost always think their biggest friction is on top-of-funnel pages that get the most traffic. Then the data comes back and it's "your login page is costing you millions" or "your search results are destroying conversion." The unknowns are where the real money sits.Dan Revellese, who's been building this for 14 years and worked with hundreds of brands, drops a sports analogy that lands: you can have the best offense in the world, but if your defense gives up points, you lose. Digital teams are the same—technology and business have to chase the same goals or you're optimizing the wrong things.The breakthrough here isn't just identifying friction. It's shifting culture from "we think this is the problem" to "we know this is costing us X dollars, and here's how to fix it." That shared language means fewer political battles and faster iteration.Key Actionable Takeaways:Stop chasing metrics in a bubble—tie every metric to a business outcome or you're just creating noiseAI's real superpower is speed–turn data into actionable recommendations faster than humans ever couldEvery brand is different—what worked at your last company probably won't work here, so start with humility about what you don't knowWant more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter!https://www.thefrictionlessexperience.com/frictionless/Download the Black Friday/Cyber Monday eBook: http://bluetriangle.com/ebookAmir Rozenberg: https://www.linkedin.com/in/amirrozenberg/ Andy Singh: https://www.linkedin.com/in/andy-singh-082955148/ Dan Revellese: https://www.linkedin.com/in/dan-revellese-159953/ Nick Paladino's LinkedIn: https://linkedin.com/in/npaladinoChuck Moxley's LinkedIn: https://linkedin.com/in/chuck-moxleyChapters:(00:00) Introduction(01:00) Three Years of Questions(06:40) Amir Rosenberg Intro(13:00) Revenue Assurance Platform(16:45) Identifying Friction(20:00) Platform Walkthrough(25:00) Game-Changing Features(28:00) Business Outcomes(29:08) Amir Recap(33:00) Andy Introduction(34:00) When Friction Costs Land(35:40) Unknown Unknowns(38:30) Automating the Process(40:20) Metrics vs Interactions(41:15) Dan Co-Founder Intro(45:00) Pattern Recognition(47:00) Conversion Curves(50:00) 14-Year Journey(53:55) Universal Truths(54:02) Revenue Impact(56:05) Q&A Session(58:00) Conclusion

Dianne Penn is Head of Product for Anthropic's AI Research and Labs teams. She joined in 2023 as Anthropic's first technical product manager, when the entire product team was five engineers, and has since helped ship every model from Claude 2 through Fable, and helped incubate Claude Code, MCP, Skills, computer use, tool use, and reasoning. Before Anthropic, she helped build Alexa's AI at Amazon and, before that, traded high-yield bonds at JP Morgan Chase.In our in-depth conversation, we discuss:1. What Anthropic's early days were like2. The inflection points that turned Anthropic from an underdog into the fastest-growing company in history3. How exactly Claude got so good at coding4. The eval-driven development loop her team is pioneering5. How to find joy in AI when everything is moving this fast6. Why Claude's willingness to push back is key to its success7. Where human judgment remains irreplaceable—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/anthropics-first-technical-pm-on—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dianne Penn:• LinkedIn: linkedin.com/in/dianne-na-penn—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(02:31) Early Anthropic days(08:55) Big milestones(13:50) Inside the exponential(20:02) Token maxing(23:30) Anthropic Labs and the incubation model(27:30) How the research role works(31:35) How to become a top researcher(35:18) Frontier model safeguards(39:38) Hiring in the AI era(44:16) Building an eval set(47:48) Evals vs PRDs(49:55) The importance of hands-on leadership(52:46) Finding joy in AI(58:10) How Dianne uses Claude(01:01:05) Avoiding overreliance on AI(01:03:50) The constitution that makes Claude better(01:07:11) AI writing and verification(01:11:40) Where human brains will continue to be valuable(01:14:10) Navigating AI with kids(01:16:26) Alignment, the future of the PM role, and burnout(01:21:54) Lightning round and final thoughts—Referenced:• Anthropic: https://www.anthropic.com• Golden Gate Claude: https://www.anthropic.com/news/golden-gate-claude• Dario Amodei's website: https://darioamodei.com• Scaling Laws and Interpretability of Learning from Repeated Data: https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data• Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers: https://www.ycombinator.com/library/Pa-tokenmaxxing-how-top-builders-use-ai-to-do-the-work-of-400-engineers• Garry Tan on X: https://x.com/garrytan• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Introducing Labs: https://www.anthropic.com/news/introducing-anthropic-labs• Louis CK | about airplane Wi Fi: https://www.youtube.com/watch?v=me4BZBsHwZs• What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams): https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering• The Anthropic Hive Mind: https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b• How to build a company that withstands any era | Eric Ries, Lean Startup author: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands• Fallout on Prime Video: https://www.amazon.com/dp/B0CN4GGGQ2• Fallout (video game): https://fallout.bethesda.net• Claude Tag: https://www.anthropic.com/news/introducing-claude-tag—Recommended books:• Crucial Conversations: Tools for Talking When Stakes Are High: https://www.amazon.com/dp/0071771328• How to Raise an Adult: Break Free of the Overparenting Trap and Prepare Your Kid for Success: https://www.amazon.com/How-Raise-Adult-Overparenting-Prepare/dp/1627791779• Incorruptible: Why Good Companies Go Bad... and How Great Companies Stay Great: https://www.amazon.com/dp/B0FWZZBPZB—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AI has been applied to almost every step of the hiring process. Sourcing, screening, assessments, interviews; each has its own tools, and many of them are effective. For many organizations, though, the gains from optimizing individual stages are flattening out. Hiring quality is shaped by the entire journey, not by any single step, and most hiring technology was never built to connect those steps. The focus is shifting toward connecting the whole process so that each stage learns from the others and improves over time. So what does it take to move from optimizing separate steps to building connected intelligence across the hiring process? My guest this week is Ben Chino, Co-founder and CPO of Maki. In our conversation, Ben explains why improving hiring one step at a time has hit its limits, what end-to-end hiring intelligence looks like in practice, and what it means for recruiters and candidates. In the interview, we discuss: Why optimizing individual hiring steps with AI has hit diminishing returns The difference between a system of record and a system of intelligence How a connected hiring process improves decision-making at every stage Where the ATS fits in the next generation of hiring technology Why human judgment in hiring is less consistent than most people think Freeing recruiters for better judgment and more time with candidates Turning 800,000 applications into a real candidate experience Why adopting AI in hiring is an organizational change challenge, not a technology decision What does the future of hiring look like? https://www.linkedin.com/in/ben-chino/

In this episode of In Depth, Brett sits down with Jon Noronha, co-founder and CPO of Gamma, the AI-native presentation platform used by more than 100 million people. In this conversation, he walks through Gamma's distinct eras of product-market fit: from a pre-AI struggle with a year of runway left, to an overnight AI-fueled explosion, to today's unplanned scramble into enterprise sales. Jon also unpacks his hard-won lessons on horizontal versus vertical bets, monetizing AI products, and why nailing onboarding turned out to be the whole game. In today's episode, we discuss: Why Gamma's all-in AI launch in March 2023 saved their startup How fixing a simple onboarding problem accidentally uncovered Gamma's entire product-market fit Why Jon bet Gamma on a horizontal product against the advice of nearly every investor How Gamma's daily signups climbed from hundreds to over 100,000 with zero paid marketing What building three pricing tiers taught Jon about monetizing AI References Canva: https://www.canva.com/ Corgi: https://www.corgi.insure/ Facebook: https://www.facebook.com/ Gamma: https://gamma.app/ Google: https://www.google.com/ Linear: https://linear.app/ Loom: https://www.loom.com/ Microsoft: https://www.microsoft.com/ Notion: https://www.notion.com/ Optimizely: https://www.optimizely.com/ Salesforce: https://www.salesforce.com/ Slack: https://slack.com/ Zoom: https://www.zoom.us/ Where to find Jon Noronha LinkedIn: https://www.linkedin.com/in/jonnoronha/ Twitter/X: https://twitter.com/thatsjonsense Where to find Brett LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Introduction 01:47 Gamma's three-era journey to product-market fit 03:41 Spotting the blank page problem pre-ChatGPT 05:11 How Gamma survived with only one year of runway 07:17 How onboarding fixes revealed the whole product 09:31 Choosing horizontal over investors' vertical playbook 13:41 Prototyping by hand before AI coding 15:36 How Gamma builds with future models in mind 20:06 The Kool-Aid mistake of a late PowerPoint export 24:31 Why the presentation industry hadn't evolved since 1987 33:30 How Gamma solves evals for taste, not just data 40:21 Jon's hardest lessons monetizing AI since 2023 44:16 The fast leap from prosumer to enterprise 47:01 Why product still beats distribution 52:06 The metric that proved product-market fit 57:36 Pricing advice for prosumer AI founders 59:01 The toils and realities of founder life

Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth, Ralph O'Brien, and Dr. K Royal, celebrate 300 episodes. And for this milestone, we invited Philippe Dufresne - Privacy Commissioner of Canada and Chair of the Executive Committee of the Global Privacy Assembly. It is a fascinating discussion and one not to miss! If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

Rafa Flores, Chief Product and Growth Officer of Treasure AI, joins the podcast to talk about his career path from engineering recruiter to “boomerang” leader returning after six years away, and Treasure Data's rebrand to Treasure AI. Flores says the shift is an evolution based on the company's machine-learning and predictive heritage, its technical DNA of using AI internally, and a desire to create a lifestyle-like community brand. He explains Treasure AI Studio, which orchestrates CDP and activation in plain English across web and mobile, enabling faster troubleshooting, campaign deployment, and real-time insights. Flores argues first-party data remains a “goldmine” but must be activated incrementally with governed access; how AI helps answer questions quickly but requires guardrails, discusses fear and overemphasis on speed/cost versus value and predicts growth of “digital workers”.   About Treasure AI Treasure AI is the agentic experience platform helping the world's most loved brands finally activate the customer data they already have. Founded in 2011 and backed by SoftBank, the company spent 15 years quietly building the infrastructure behind some of the most recognizable names in retail, automotive, CPG, and financial services — before rebranding in 2026 to reflect what it had always been building toward. Named a Forrester Wave Leader for B2C CDPs, Treasure AI unifies fragmented first-party data into a single living customer profile and puts AI to work on it in real time, on behalf of human marketers who set the strategy and make the calls. The result for brands like Nestlé, AB InBev, Stellantis, and Condé Nast is measurable: millions in recovered media spend, significant revenue generated, and marketing teams that finally get to go home on time.   About Rafa Flores Rafa Flores is the Chief Product and Growth Officer at Treasure AI, where he leads product strategy and growth with a simple conviction: the best technology gives people their time back. A builder by nature and a father of four, Rafa has always believed that progress is personal — that the products worth building are the ones that free someone up to be more present, more creative, and more human. That belief drives everything from how he runs his teams to the unconventional call he made to give away free access to a platform traditionally reserved for Fortune 500 companies, a bet that raised eyebrows and is already showing results. He brings that same bias toward progress to every stage he walks onto.  Time Stamps 00:00 Welcome and Guest Intro 00:39 Rafa's Career Journey 01:53 Returning to Treasure Data 03:25 Move at Speed of Now 04:12 Rebrand to Treasure AI 07:22 Lifestyle Brand in B2B 09:57 AI Studio Use Cases 12:37 First Party Data Goldmine 16:29 AI Hype and Real Value 18:38 Digital Workers Ahead 20:31 SaaS Future and Guardrails 23:59 PLG Try Now Campaign 26:02 Advice and Wrap Up   Quotes "It's not just about how much time AI can save you, it's also about how much revenue it can drive for the business." Rafa Flores, CPO at Treasure AI. "Digital workers are about better supporting the human in the loop." Rafa Flores, CPO at Treasure AI. "The biggest mistake is everyone wants to rush to deploy AI."  Rafa Flores, CPO at Treasure AI.   Follow Rafa: Rafa Flores on LinkedIn: https://www.linkedin.com/in/ref2019/ Rafa Flores on Forbes: https://www.forbes.com/councils/forbestechcouncil/people/rafaelflores/ Treasure AI website: https://www.treasure.ai/ Treasure AI YouTube: https://www.youtube.com/@TreasureData   Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favourite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

New day, same great conversations. Catch new episodes of SUPERLATIVE every Wednesday!In this episode of SUPERLATIVE, aBlogtoWatch founder and host Ariel Adams sits down with Mike Margolis, President of Czapek Americas, to explore what it takes to build an independent watch brand in today's competitive market. Drawing on decades of experience across luxury watch retail, distribution, and brand development, Mike shares how Czapek has grown its presence in North America while staying true to its identity. Along the way, he reflects on lessons learned from industry icons such as Jean-Claude Biver, the importance of creating meaningful collector relationships, and why authentic storytelling remains one of the most valuable tools in modern watch marketing.Their conversation also dives into the realities of selling independent watches, the changing role of retailers and events, the impact of tariffs and global business challenges, and why collecting should always be driven by passion rather than investment. Whether you are fascinated by the business behind luxury watches or simply appreciate great horology, this episode offers thoughtful insight into what helps brands and collectors thrive together.Learn more about Mike Margolis:- Instagram - https://www.instagram.com/thewatchenabler/ - Website - https://www.horologyworks.com/ - Czapek Watches - https://www.czapek.com/ This week's episode is sponsored by the Movado Heritage Kingmatic collection, learn more at the link below:- https://www.movado.com/ SUPERLATIVE IS NOW ON YOUTUBE! To check out Superlative on Youtube as well as other ABTW content:- YouTube - https://www.youtube.com/@ablogtowatch To check out the ABTW Shop where you can see our products inspired by our love of Horology:- Shop ABTW - https://store.ablogtowatch.com/To keep updated with everything Superlative, aBlogtoWatch Weekly, and aBlogtoWatch, check us out on:- Instagram - https://www.instagram.com/ablogtowatch/- Twitter/X - https://twitter.com/ABLOGTOWATCH- Website - https://www.ablogtowatch.com/If you enjoy the show please Subscribe, Rate, and Review!Key Timestamps:00:35 Introduction01:34 Mike's Career & Czapek05:34 Tariffs & Importing Watches10:32 Why Americans Should Buy Local14:06 The Hublot Years15:32 Working With Jean-Claude Biver24:37 Lessons in Watch Marketing30:09 Finding Modern Collectors35:56 Becoming a Watch Collector39:49 How Watch Collecting Has Changed42:14 Events, Retail & Direct Sales48:23 Can You Trust Online Reviews?55:03 Buying Watches Online56:58 Why Watches Should Bring Joy1:01:48 Selling & Trading Watches1:02:39 Buy With Your Heart1:06:31 Rolex, CPO & Speculation1:08:31 Final Thoughts

Tomas Reimers, Co-Founder & CPO @ Graphite, reveals his journey to becoming a founder and some of the major moments from Graphite's product development story. He dissects frameworks for determining when it's time to quit your full-time job to pursue becoming a founder and analyzing the costs vs. benefits of that decision. We cover how to decide what customer problems to solve, understanding how software development trends impact what you're building, and product market fit and selling considerations. Lastly, Tomas shares valuable strategies when it comes to selling to developers.   ABOUT TOMAS REIMERS Tomas Reimers is the CPO and co-founder of Graphite, the a16z and Anthropic-backed AI code review platform that Cursor acquired in December 2025. Previously, he was an engineer at Facebook. Passionate about advancing developer velocity, Tomas holds a BS in Computer Science from Harvard University.   SHOW NOTES: The origin story behind Graphite (1:05) Signs that it's time to quit your job / found a company (4:03) How Tomas & his co-founders knew it was time to break up with their jobs (5:40) Understand what leaving your job will mean career-growth wise (7:33) Embracing regret minimization (9:28) Pros & cons of developing in blue ocean vs. red ocean areas as a founder (11:49) Strategies for determining what software to build / how is software dev evolving (14:00) Tomas's framework for determining bets (15:50) Recommendations for selling as a founder (17:52) Identifying if sales isn't working or if product market fit is off (20:35) Using customer insights to experiment & make a PMF pivot (23:05) Why developers don't want to be sold to, they want to be taught (24:42) How to apply teaching vs. selling into early GTM strategy (27:20) Utilizing demonstrations to gain developer buy in & trust (29:24) What Tomas is looking forward to in Graphite's future / software dev in general (32:04) Rapid fire questions (33:34)   LINKS AND RESOURCES The Mom Test - Rob Fitzpatrick's quick, practical guide that will save you time, money, and heartbreak. Founding Sales - The Startup Sales Handbook - rhe distillation of Pete Kazanjy's experience at his first software startup, TalentBin going from a founder with a product marketing and product management background to early sales guy, early sales manager, and eventual post-acquisition sales leader at Monster Worldwide in addition to his later experience founding Modern Sales, the nation's largest sales operations, enablement, and leadership community. Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts - Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. This episode wouldn't have been possible without the help of our incredible production team: Patrick Gallagher - Producer & Co-Host Jerry Li - Co-Host Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/ Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/ Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Your therapist would tell you to set up healthy boundries in relationships, and that also holds true in your daily life. Colleen Klimczak, CPO, discusses organizing home offices & small businesses, paper & time management, using home spaces in their best possible way, and creating time with family in this weekly podcast. Learn more at PeaceOfMindPO.com!

In this episode, Andrew talks with Alan Coleman, CPO at Plume, about how the company is moving beyond Wi-Fi management to improve the overall connected-home experience. They cover smart home reliability, AI-powered troubleshooting, cybersecurity, and why open standards like Thread and Matter matter for the future of home networking.Topics covered:Plume's shift from hardware to softwareHow ISPs use Plume to manage home connectivityAI, customer care, and network optimizationThread, Matter, and smarter routersPrivacy and cybersecurity in the connected homeSend me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSmart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showPlumeAirversa Smart HumidifierZemismart 2-Gang Smart SwitchiOS 27 Public Beta VideoThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

Даниил Холопцев — CPO Россельхозбанка и основатель профессионального сообщества «Немного продакт». В РСХБ он развивает цифровые продукты банка, включая rshb.ru и РСХБ ID; ранее работал в Samsung, «МегаФоне» и «Билайне». Вокруг «Немного продакт» Даниил объединил авторов-практиков: сообщество выпускает материалы о продуктовой работе, проводит разборы кейсов, митапы и помогает специалистам развивать личный бренд и профессиональные связи.Daniil Kholoptsev is CPO at Rosselkhozbank and founder of the professional community Nemnogo Product. At the bank, he develops digital products including rshb.ru and RSHB ID; previously, he worked at Samsung, MegaFon and Beeline. Daniil has brought together product practitioners who publish hands-on content, host case reviews and meetups, and help product professionals strengthen their personal brands and industry networks.Стать участником подкаста: https://form.jotform.com/Podcast10K/become-a-podcast-guestТемы выпуска:0:00 - Куда исчезли карьеристы: эпоха «сам себе режиссёр» 5:20 - Инфобизнес и курсы по AI: быстрые деньги на чужой тревоге 21:23 - Газманов, футбол и война: зачем людям чувство стаи 26:28 - «Медалька» как оружие маркетинга 30:23 - Голосование рублём, купленные отзывы и фальшивое доверие 38:08 - Почему взлетел падел: спорт, мода и нужные знакомства 43:00 - «Сейчас важно быть медийным»: подписчики как карьерный капитал 50:06 - Один удачный продукт — и ты уже эксперт: почему голос получают не те 57:23 - Сделал три продукта — теперь можно только вещать? 1:03:49 - Менторство: помощь или монетизация доверия 1:11:40 - 30% знаний, 70% привлечения: новая формула эксперта 1:29:36 - Захватить рынок силами 80 человек: зачем строят закрытые сообщества 1:36:14 - Если ты мастер, зачем тебе доход от канала? 1:42:00 - Ценности по прайсу: где начинается сделка с совестью 1:50:50 - Одиночество как продукт: что на самом деле продаёт сообщество

What does it mean to build care as a product? In this episode of the CPO Rising Series hosted by Turo CPO Tom Wang, Spotnana CPO Sarosh Waghmar will be speaking on why trust is the foundational design principle in travel tech, how AI can make a stranded traveler feel like someone said "I got you," and why the modern CPO has to be fluent in three languages simultaneously, customer pain, business model, and technology trajectory. He also shares why cleaning the infrastructure gutters is the unglamorous work that makes everything else possible.

Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth, Ralph O'Brien, and Dr. K Royal, discuss a week in privacy. Let's be honest though - it's really the US Supreme Court reent decisions in Slaughter and Chatrie. Tune in for a lievely discussion. Oh - and we're also on YouTube https://www.youtube.com/@seriousprivacypodcastChatrie v. United States (25-112): Police officers conducted a Fourth Amendment search when they acquired Okello Chatrie's location data from Google because an individual has a reasonable expectation of privacy in his cell-phone location information. Trump v. Slaughter (25-332): The Federal Trade Commission's for-cause removal provision, 15 U. S. C. §41, is contrary to the separation of powers enshrined in the Constitution. If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

Adam Mosseri is the Head of Instagram, where he oversees an app used by over 3 billion people. He also leads the team building Threads. Adam has run Instagram for longer than its founders did, after taking over from Kevin Systrom and Mike Krieger in 2018. A designer by training, he spent over 15 years at Meta, starting as a designer on Facebook's mobile app, rising to lead Facebook's News Feed, and eventually chosen to lead Instagram. During his tenure, Instagram's user base has more than tripled.In our in-depth conversation, we discuss:1. How the canonical product team structure is changing in 2026, from baker's-dozen specialist teams to lean pods of four to six generalists2. The rise of the “product staff” role—a blending of PM, design, data science, and research into one generalist operator3. Why Adam is bullish on designers even as functional boundaries dissolve, and which roles are most at risk4. What the Instagram algorithm knows about you, and why it's only now catching up to what people assumed it knew years ago5. Why the rise of AI-generated content is a tailwind for Instagram, and how the company is thinking about creator identity in a synthetic-content world6. The two biggest product failures of Adam's career—Facebook Home and the first version of Reels—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign—Episode transcript: https://www.lennysnewsletter.com/p/adam-mosseri-ai-is-a-tailwind-for—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Adam Mosseri:• X: https://x.com/mosseri• LinkedIn: linkedin.com/in/mosseri• Instagram: https://www.instagram.com/mosseri• Threads: https://www.threads.com/@mosseri—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 Adam Mosseri(02:09) How product teams are changing inside Meta(05:48) Blurring roles and career anxiety(14:01) Hiring traits that matter now(16:48) How AI is resetting who succeeds at work(19:38) How Meta thinks about token spend and AI costs(23:23) Where human judgment still matters(25:56) Why AI is not automatically great at strategy(30:36) Why great product leaders are curators(34:23) What Instagram's algorithm actually knows about you(38:08) Why chronological feeds often disappoint users(40:56) Why AI content may be a tailwind for Instagram(43:42) The future of AI and human content in the feed(48:00) What Adam admires about other social platforms(52:05) How he handles public criticism(56:31) Lessons from the Instagram feed redesign backlash(01:00:21) Adam's biggest failure: Instagram on iPad(01:03:03) His approach to kids, screens, and social media(01:06:56) What Adam wants listeners to remember—Referenced:• What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams): https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering• Claude Code: https://www.anthropic.com/product/claude-code• Claude Cowork: https://www.anthropic.com/product/claude-cowork• Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens• A rational conversation on where AI is actually going | Benedict Evans: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Mythos: https://www.anthropic.com/claude/mythos• Fable: https://www.anthropic.com/claude/fable• Pluralistic: The Reverse-Centaur's Guide to Criticizing AI: https://pluralistic.net/2025/12/05/pop-that-bubble• Plastic Dream Sequence on Instagram: https://www.instagram.com/plasticdreamsequence• TikTok: https://www.tiktok.com• Facebook–Cambridge Analytica data scandal: https://en.wikipedia.org/wiki/Facebook%E2%80%93Cambridge_Analytica_data_scandal• Facebook Home: https://en.wikipedia.org/wiki/Facebook_Home—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Welcome to a special edition of The Edge of Show, produced in partnership with Cointelegraph. Let's hear together about the evolution of digital assets and their impact on financial infrastructure.Today we sit down with Andrew Isaacs, Co-Founder and COO of Neyro, who draws on his deep investment banking background to explain how the digital asset market has matured past pure hype into sustainable, on-chain revenue models. He breaks down how Neyro is utilizing autonomous AI agents to solve the massive systemic hurdles of fractured blockchain liquidity and data overload.Then, Denys Ivanov, CPO at Hacken, joins the conversation to address the critical, often overlooked dark side of automated systems. He exposes the reality of how easily AI agents can be prompt-injected or manipulated, and details Hacken's latest advancements in automated smart contract audits, risk-scoring for asset managers, and live real-time AI red-teaming.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.com

What if your SaaS product built itself to fit every user the moment they signed up? In this episode of the CPO Rising series hosted by Products That Count Resident CPO Renee Niemi, Pipedrive CPTO Joe Futty will be speaking on why customer expectations are about to shift more dramatically than at any point since mobile went mainstream and what that means for how product teams build, hire, and think about personalization. He also shares his three-bucket framework for navigating any new CPO role, and why the lines between product, engineering, and design are dissolving into something new.

"We need to evolve from procurement professionals into business leaders with procurement expertise." - Israel Santiesteban, Former Chief Procurement Officer and Head of Supply Chain The next evolution of procurement is about so much more than cost savings. With new digital tools and relentless business change, leaders are being asked to deliver value in new ways and, as a result, develop talent for roles that didn't exist a few years ago. In this episode, Philip Ideson speaks with Israel Santiesteban, a former CPO and supply chain leader with experience across Danone, Kraft Heinz, Schreiber Foods, and more, who's spent decades delivering end-to-end transformation in fast-moving sectors.  They discuss what it really takes to unlock the power of data and AI, and why the next generation of procurement jobs will look very different. Israel also opens up about the risks and opportunities of working with startups, the reality behind scenario planning, and why high-performing teams need to shift from transactional work to strategic value-creation.  In this episode, Israel also discusses: -How to cut through the hype and use AI for quick wins in neglected indirect spend -Discovering how CPOs can partner with startups for tailored solutions -Ways to move from reactive firefighting to true predictive scenario planning -The importance of building new procurement roles that blend digital fluency with business acumen -Rethinking procurement metrics that show value, not just savings   Links: Israel Santiesteban on LinkedIn: https://www.linkedin.com/in/israel-santiesteban-43627b1b/  Subscribe to the AOP Newsletter: https://resources.artofprocurement.com/art-of-procurement-podcast-subscribe  Subscribe to Art of Procurement on YouTube: https://www.youtube.com/@ArtofProcurement   

Send us Fan MailEverything You Think You Know About Water Testing Is Changing - Wait until you hear about the drones...Water testing isn't just about getting numbers.It's about making better decisions.This week on Floc-It Friday, Rudy Stankowitz sits down with Jonathan Banish, Director of Software at LaMotte, for an inside look at how modern water analysis has evolved from simple test kits into powerful business management tools.The conversation goes far beyond the Spin Touch photometer. Rudy and Jonathan explore why software has become just as important as chemistry, how accurate testing saves money by preventing unnecessary chemical use, and why tracking water history may be one of the most valuable assets a pool professional can have.They also discuss customer management, business efficiency, NSF certification, responsible chemical dosing, and where water testing technology may be headed in the future—including a few laughs about drones, superheroes, peanut butter sandwiches, and even Area 51.Whether you're a one-pole operation or managing hundreds of pools, this episode offers a fascinating look at how technology is reshaping the pool industry.In This Episode Why accurate water testing matters more than ever  How software has transformed pool service  The business value of water test history  Why precision saves chemicals—and money  Understanding WaterLink Pro  CRM features built specifically for pool professionals  Route scheduling and customer management  Homeowner integration with WaterLink Home  Preventing customers from shopping elsewhere  Why water chemistry should be viewed as an ecosystem  The importance of NSF-certified testing equipment  Spin Touch accuracy and testing ranges  Responsible chemical dosing  How technology improves customer confidence  The future of automated water testing  Product development driven by customer feedback Key TakeawayThe best pool professionals don't just test water.They collect information.They recognize patterns.They document history.And they use technology to make smarter decisions that improve water quality, reduce chemical costs, and deliver a better experience for every customer.The future of pool care isn't simply better chemistry.It's better information.SubscribeNew episodes every week from the Talking Pools Podcast Network, featuring conversations with the people driving innovation across the swimming pool industry.Available on Apple Podcasts, Spotify, YouTube, and wherever you listen to podcasts.#TalkingPools #FlocItFriday #WaterTesting #SpinTouch #LaMotte #PoolService #PoolChemistry #PoolProfessional #SwimmingPools #PoolIndustry #WaterAnalysis #PoolTechnology  AquaStar Pool ProductsThe Global Leader in Safety, Dependability, & Innovation in Pool Technology.POOL MAGAZINE Pool Magazine is leading up to the minute news source for Swimming Pool News and Pool Features. Outhe 'How to Get Rid of Algae' handbookThe most comprehensive guide on algae prevention and remediation you will ever own. BLUERAY XLThe real mineral purifier! Reduce your pool maintenance costs & efforts by 50%CPO Certification ClassesAttend your CPO class with Rudy Stankowitz!Online Pool ClassesThe difference between you and your competition is what you know!Jack's MagicIf you know Jack's you'd have no stains!LaMotte CompanyLaMotte Company is a leading manufacturer of water quality testing products & pool test kitsService Industry NewsDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showThank you so much for listening! You can find us on social media:FacebookInstagramTik TokEmail us: talkingpools@gmail.com

Are overprivileged AI agents the biggest emerging threat in cybersecurity? In a recent high-profile attack, a vibe-coding company had its entire source code stolen because an attacker exploited a long-lived, overprivileged token tied to a third-party AI agent.In this episode, Ashish sits down with Ely Kahn, CPO at Okta, to unpack the challenge of managing Non-Human Identities (NHI) in the AI era. Ely explains why traditional, static human permissions completely break down when applied to autonomous agents. To solve this, Okta has spearheaded Cross-App Access (XAA), an extension of OAuth that uses an Identity Assertion Grant (ID JAG). This open protocol, backed by 25+ partners, including Anthropic, XAA securely passes the baton between apps without annoying consent pop-ups or dangerous static API keys.We also explore the four maturity levels of agent authorization, ranging from broad API keys to the ultimate "North Star" of intent-based security. Learn the difference between SPIFFE (for internal cryptographic identity) and XAA (for downstream resource authorization), how the Linux Foundation is building an Agent Domain System, and why every CISO needs an immediate "kill switch" for rogue AI agents.Guest Socials -⁠⁠ ⁠⁠⁠⁠⁠Ely's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:50) Ely Kahn's Background: From DHS to Okta CPO(04:00) Why AI Agent Identity is Different from Human IAM(06:30) The Danger of Overprivileged Tokens: A Source Code Breach Case Study(08:30) Introducing Cross-App Access (XAA) and ID JAG(11:00) Agent Identities: Acting on Behalf of a User vs. Autonomous Scopes(13:00) SPIFFE vs. XAA: Workload Identity vs. Resource Authorization(14:30) The Linux Foundation's Agent Domain System for Cross-Company Passports(18:00) Assuming Breach: Why Prompt Injection Makes Identity the Highest ROI Security Action(19:30) The 4 Maturity Levels of AI Agent Authorization(21:00) Intent-Based Security and Zero Standing Privilege(23:00) How to Offboard AI Agents and Manage Identity Governance (IGA)(27:00) The 3 Governance Questions Every CISO Must Answer(28:50) Implementing a Universal Kill Switch for Rogue AgentsResources spoken about during the episode:Learn more about how Okta and XAA are setting the new security standard for the AI era