Podcasts about product lead

In this session from DX Annual, Christopher Sanson, Product Lead, AI Developer Experience, and Madison Capps, Engineering Manager, Infrastructure at Airbnb, challenge some of the most common assumptions about AI. Is AI primarily about replacing humans? Do organizations need mandates to drive adoption? And are the productivity gains really as small as some studies suggest?Using examples from Airbnb's own AI journey, they share how the company achieved widespread adoption of agentic AI through AirChat, community enablement, and internal tooling rather than top-down mandates. They also discuss the impact AI is having on developer productivity, how non-developers are increasingly using coding tools, and how teams are rethinking product development in an AI-first world.Finally, Madison takes a deeper look at the infrastructure powering Airbnb's AI strategy, including AirChat CLI, the AirChat SDK, and AirChat Remote, along with the company's vision for asynchronous agent workflows and the next generation of AI-powered development.Where to find Christopher Sanson:• LinkedIn: https://www.linkedin.com/in/christophersanson Where to find Madison Capps:• LinkedIn: https://www.linkedin.com/in/madison-capps-66950625In this episode, we cover:(00:00) Intro(01:37) Myth #1: AI is about replacing humans(03:22) Myth #2: You need mandates to drive AI adoption(05:21) AirChat, agentic AI, and Airbnb's adoption strategy(08:07) Myth #3: AI has little impact on productivity(09:33) Airbnb's increase in coding time and PR throughput(14:20) Myth #4: AI coding tools are just for coders(15:39) How non-developers are using coding tools(17:24) Rethinking product development in an AI-first world(20:30) Myth #5: Vibe coding isn't coding(22:16) Unsolved problems in agentic AI tooling and how Airbnb is addressing them(26:30) Airbnb's overall AI philosophy in practice(29:15) Using agentic AI to accelerate code migrations(30:18) AirChat SDK: How Airbnb enables teams to build AI-powered applications(33:17) AirChat Remote and asynchronous agent workflows(36:07) Predictions for what's nextReferenced:• ⁠Airbnb• Steve Jobs's Bicycles for the Mind • Jennifer St Pierre • Justin Reock• AI-generated merged code holds steady at ~30%• Andrej Karpathy's post on X

Recorded in partnership with LHV Bank on their booth at Money20/20 Europe in Amsterdam, this episode explores the technologies, regulatory shifts and business models reshaping financial services across the continent. Russell Goldsmith is joined by six industry leaders: 1/ Macs Dickinson, Director of Engineering, LHV Bank 2/ Paul Scholten, Chief Executive Officer, Buckaroo 3/ Eline Blomme, Chief Product and Marketing Officer, Acquired 4/ Scott Dawson, Director & CEO, DECTA UK 5/ Chris Corbett, Product Lead, Plaid 6/ Alexander de Ràfols, Head of Europe Product, Affirm Together, they share practical, real‑world insights from the rise of stablecoins and instant cross‑border payments to the impact of agentic AI, rebundling, and the next wave of open finance innovation. A fast‑moving, insight‑packed episode capturing the themes dominating Money20/20 Europe, from rewired infrastructure to the new competitive dynamics between banks, fintechs and platforms.

Welchen ETF soll ich kaufen? Falsche Frage – zumindest am Anfang. Jule, Product Lead bei Madame Moneypenny, gibt tiefe Einblicke in das, was Frauen beim Investieren bremst. Jetzt reinhören!

This week's episode features Ben Elvidge, Product Lead of xU3O8, Head of Alternative Assets at Trilitech, in conversation with host Adrian Pocobelli about the tokenization of uranium on the Tezos blockchain. Elvidge discusses the multiyear development process behind the project, the challenges of metal tokenization, and the lengthy path to regulatory compliance. He also explains the financial mechanics of tokenization and how a blockchain-based structure differs from an ETF. All this and more with host Adrian Pocobelli. “Rattlesnake Railroad”, “Big Western Sky”, “Western Adventure” and “Battle on the Western Frontier” by Brett Van Donsel (⁠www.incompetech.com⁠). Licensed under Creative Commons: By Attribution 4.0 License ⁠creativecommons.org/licenses/by/4.0⁠ Apple Podcasts:⁠ https://podcasts.apple.com/ca/podcast/the-northern-miner-podcast/id1099281201⁠ Spotify:⁠ https://open.spotify.com/show/78lyjMTRlRwZxQwz2fwQ4K⁠ YouTube:⁠ https://www.youtube.com/@NorthernMiner⁠ Soundcloud:⁠ https://soundcloud.com/northern-miner

Rubén Lozano-Aguilera, Product Lead for Asta at the Allen Institute for AI (Ai2), explores the transformative potential of agentic AI in scientific research with Humanitarian AI Today guest host Lindsey Moore, Founder of DevelopMetrics. Rubén introduces AutoDiscovery, a powerful new tool developed by his team that moves beyond traditional query-based analysis to autonomously generate and test scientific hypotheses. This shift from manual data processing to autonomous discovery offers a powerful force multiplier for researchers, helping them surface blind spots and hidden patterns that traditional methods often overlook in fields ranging from melanoma research to marine ecology.   For humanitarian and development organizations, Ai2's work represents a vital new advancement in what Rubén calls "shared AI infrastructure." Ai2's deep commitment to the open-source movement, providing open models, checkpoints, code, and training data, ensures transparency and accessibility for all. This approach is particularly impactful for organizations operating in resource-constrained environments, as it allows them to leverage state-of-the-art predictive analytics without the high costs or "black box" risks associated with proprietary systems. By democratizing access to high-level research tools, Ai2 enables any researcher or developer to maintain data ownership while utilizing sophisticated AI to solve the world's most pressing problems.   The conversation next turned to the deeper philosophical stakes of automating scientific discovery itself. Drawing on his graduate research in AI ethics at Cambridge, Rubén separates what philosophers of science call the "context of discovery”, how a hypothesis is generated, from the "context of justification," how it is tested and validated. The worry is deskilling: as scientists offload hypothesis generation to AI, will they lose the instincts needed to catch when the machine is wrong? His answer centers on cultivating "meta-AI skills", the practiced ability to evaluate AI outputs critically. That raises its own problems: how do those skills get built, and are they really the same kind of skill as the hypothesis-generating instincts they would replace? Ai2 is actively studying this by examining how tools like AutoDiscovery affect students and early-career researchers. For humanitarian and development professionals navigating an era of shrinking research budgets and growing AI adoption, these added points raise essential questions about keeping human judgment at the center of discovery.

Sasha Orloff and Jeff Grimes, Perplexity's Product Lead for Finance, explore the evolution of search from a simple "answer engine" to a high-stakes "action engine." They discuss the disruption of legacy platforms like the Bloomberg Terminal and how Perplexity is building an AI-native operating system designed specifically for the rigors of financial analysis. The conversation tackles the industry's skepticism toward AI accuracy, detailing the "auditability-first" approach that allows finance teams to verify every data point back to its original SEC filing, effectively turning complex technical workflows into plain-English commands. -- SPONSORS: Notion Boost your startup with Notion—the ultimate connected workspace trusted by thousands worldwide! From engineering specs to onboarding and fundraising, Notion keeps your team organized and efficient. For a limited time, get 6 months of Notion AI FREE to supercharge your workflow. Claim your offer now at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://notion.com/startups/puzzle⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Puzzle

Real Salt Lake dominate Sporting Kansas City at home in a 3-1 win. Sergi Solans and Zavier Gozo continue to impress. Real Salt Lake head into another bye week following the rescheduling of the Seattle game. Josh Clark, Alex Napoles, and Carson Lantz break down all this and more in the latest edition of the RSL Show.  Follow the RSL Show on KSL Sports on all social media platforms, @rslshow

What does it take to build AI-powered products that customers actually trust? In this podcast hosted by EY Chief Platform Officer Justin Leibow, Unit21 Sr Product Leader Dhiraj Bhat will be speaking on how product leaders can design systems that leverage AI effectively. Drawing from his experience building fraud prevention products, Dhiraj explores the shift from feature-driven PM to systems thinking, and why implementation and trust will define the winners in AI.

Ryan and Ben look forward to the recent module announcement, play with the new character quick builder, and discuss various levels of meta gaming. Community Pages: D&D Modules announcement; The announcement of an upcoming announcement at Gen Con; Wes Schneider is the Product Lead for Ravenloft; Character Quickbuilder deep dive; Behind the Screen Quickbuilder post; Dungeon Dudes Youtube channel. Socials: Discord; Bluesky; Ryan's Bluesky; Ben's Bluesky

Please enjoy this encore of Career Notes. David Nosibor, Product Lead for SafeCyber at UL Solutions, started his career in a unique way by not letting himself be pigeonholed. Within his company, David was able to grow to the position he is in now and says that his position feels like a lot of roles tied into one. He says that on any given day he is tackling all sorts of elements, such as marketing, operations, working with the engineering team, figuring out ways to acquire customers, retain them, and also working on sales and business development capabilities. He also says that constantly learning and getting new opportunities was how he ended up being where he is today. David states that staying focused and being on the lookout for ways to accomplish the mission is the best way for him in his company to democratize product security. He quotes the famous singer Sean Carter in saying that he firmly believes in taking calculated risks to get where you need to be going. We thank David for sharing his story. Learn more about your ad choices. Visit megaphone.fm/adchoices

Please enjoy this encore of Career Notes. David Nosibor, Product Lead for SafeCyber at UL Solutions, started his career in a unique way by not letting himself be pigeonholed. Within his company, David was able to grow to the position he is in now and says that his position feels like a lot of roles tied into one. He says that on any given day he is tackling all sorts of elements, such as marketing, operations, working with the engineering team, figuring out ways to acquire customers, retain them, and also working on sales and business development capabilities. He also says that constantly learning and getting new opportunities was how he ended up being where he is today. David states that staying focused and being on the lookout for ways to accomplish the mission is the best way for him in his company to democratize product security. He quotes the famous singer Sean Carter in saying that he firmly believes in taking calculated risks to get where you need to be going. We thank David for sharing his story. Learn more about your ad choices. Visit megaphone.fm/adchoices

Livestreaming as always Friday at 2pm UK time (9am Eastern)! In this week's show we'll take a look Jeff Easley's cover art for the new Greyhawk book, play with D&D Beyond's character 'quickbuilder' and reveal news of new Dragonlance novels from Weis & Hickman! Note that from May we will be moving the livestream to Mondays at 8pm UK time (2pm Eastern), starting on May 4th! Melf's Guide to Greyhawk Cover by Jeff Easley Revealed at Gary Con What the Melf's Guide to Greyhawk Cover Might Look Like Wes Schneider Is the Product Lead for Ravenloft: The Horrors Within D&D Beyond Launches Its Character Quickbuilder 'War Wizard' Is A New Dragonlance Novel From Weis & Hickman Critical Role Gets a Mighty Nein Sequel Novel ShortQuests -- individual adventure modules! A5Evening: Russ Morrissey (aka Morrus) from EN Publishing

Your weekly summary of the TTRPG news in 3 minutes or less with Jessica Hancock. If you'd like to hear these stories discussed in more detail, you can listen to Morrus Unofficial TTRPG Talk Podcast or you can read all about it on www.ENworld.org  Melf's Guide to Greyhawk Cover by Jeff Easley Revealed at Gary Con Wes Schneider Is the Product Lead for Ravenloft: The Horrors Within D&D Beyond Launches Its Character Quickbuilder 'War Wizard' Is A New Dragonlance Novel From Weis & Hickman Critical Role Gets a Mighty Nein Sequel Novel

Leonardo Giusti has spent his career in the spaces between disciplines — between art and science, between research and product, between the physical world and the digital one. It's not a conventional design path, but it's one that led him to work most designers never get near. This is a preview of a premium episode. Find the full episode on our Substack: https://designbetterpodcast.com/p/leonardo-giusti Leonardo is the co-founder and Chief Design Officer of Archetype AI, a company building foundation models trained not on text or images, but on the continuous stream of sensor data flowing from the real world, like factories, power grids, and city intersections. Before that, he spent nearly seven years at Google's Advanced Technology and Projects group, where he led design on Project Soli — a miniature radar chip that taught devices to understand human gesture and presence — and Project Jacquard, which wove interactivity into everyday objects like Levi's jackets and YSL bags. He holds a Ph.D. in human-computer interaction from the University of Florence and spent years as a postdoctoral researcher at MIT's Design Lab. He's also filed more than 30 patents (!). What makes Leonardo's thinking distinctive is his insistence that the metaphors we use to describe AI shape everything — how we build it, how we regulate it, and who it ends up serving. He's skeptical of the dominant vision of AI as an autonomous agent that does things for us, and is pushing toward something different: AI as a tool we think with. In this conversation, we get into his unusual path to design through cognitive science and robotics, what it actually means to treat emerging technology as a design material, why the chatbot is a primitive interface for the physical world, and why he believes augmenting human intelligence might be the most important design challenge of our time. Bio Leonardo Giusti, Ph.D., is an award-winning design and research director. With over 15 years of experience, he excels in transforming R&D projects into innovative hardware, software, and AI products. Prior to Archetype AI, Leonardo was the Head of Design at Google's Advanced Technology and Projects, UX Design and Product Lead at Samsung Design and R&D and interaction design lead at MIT Design Lab. Leonardo was a Post-doctoral Associate at MIT Design Labs and completed his Ph.D, in human-computer interaction at the University of Florence. He has filed more than 30 patents, and published more than 40 scientific papers. His work has been featured in the New York Times, Washington Post, Wired, Fast Company and other recognized magazines.

What does it take to build AI for customer service that improves real customer outcomes instead of just sounding intelligent? In this podcast hosted by Boston New Technology CPO Shweta Agrawal, Microsoft Product Lead Madhuri Somara shares how her team is building AI-powered case management solutions that automate routine work while keeping humans in the loop for judgment and empathy. She discusses designing AI systems that increase resolution speed, surface transparency in decision-making, and elevate the overall customer experience in complex service environments.

Generative AI is changing how customer support chatbots are built, deployed and measured.In this episode, we sit down with Alia Azim, Product Lead for Chatbots at Citation Group, to discuss the company's shift from traditional NLU chatbots to generative AI conversational agents.Alia brings a wealth of experience in conversational AI, including time spent at Lloyds Banking Group, and she gives us an honest account of what it actually looks like to move from NLU-based chatbots to generative AI in a real business environment. Citation Group provides HR, compliance and business services for thousands of small and medium businesses. Supporting those customers means handling everything from platform troubleshooting to account access issues. Alia explains how their team rebuilt the chatbot strategy around generative AI, focusing on specific use cases, improved knowledge management, and outcomes that actually resolve customer problems.We explore the limitations of traditional intent-based bots, why generative AI dramatically changes how conversational systems are designed and why success metrics like containment are being replaced by resolution rate.We also get into the debate around whether conversation design is dead. Designers and engineers still play a critical role, but the work now focuses less on building rigid flows and more on shaping AI behaviour through guidance, knowledge design and customer journey thinking.Show notesFollow Alia on LinkedIn: https://www.linkedin.com/in/aliaazim/Follow Kane Simms on LinkedIn: https://www.linkedin.com/in/kanesimmsDownload our exclusive report on how AI agents keep CX stable when volume explodes: https://vux.la/scaleTake our updated AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audio&utm_campaign=vuxconsulting25Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Hosted on Acast. See acast.com/privacy for more information.

What does it really take to shift from shipping features to driving measurable outcomes at global scale? In this podcast hosted by EY Platform Operations Lead Justin Leibow, Walmart Principal Product Manager Parul Jain shares how she approaches product strategy, innovation pipelines, and AI-enabled product operations. She unpacks how outcome-based planning reshapes team behavior, how to structure innovation as a repeatable system rather than a one-off event, and where generative AI can meaningfully elevate product decision-making without replacing human judgment.

This week on America on the Road, guest co-host Matt DeLorenzo joins Jack Nerad as they dive into Jack's first-drive impressions of the revived 2026 Jeep Cherokee and updated 2026 Jeep Grand Cherokee. Matt reviews the 2026 Volvo EX30, a punchy subcompact EV SUV with Scandinavian flair, while Jack road-tests the premium 2026 Genesis GV60 Performance, a luxury compact EV with vivid acceleration matched with luxury features. Plus, Jack sits down with Mike Cockell, Product Lead for the 2026 Jeep Cherokee, to discuss its all-new hybrid powertrain, off-road capabilities, and new pricing.

Earning, spending, investing and shopping overseas has never been easier, but it has never been more complex either. If your money is constantly moving between currencies, countries, and platforms, it can feel like you're doing everything right on paper while still losing value through fees, exchange rates and timing. In this episode of Everything Counts, Motheo Khoaripe explores what it really means to live a global financial life. He's joined by Dan Buntman, Product Lead for International Banking at Investec, and Bonnie Dalglish, Private Banking Forex Lead, to unpack how South Africans are spending, earning and investing in an increasingly borderless world. The conversation dives into the explosive growth of online and global shopping, the rise of multicurrency lifestyles, and why so many people feel their money is harder to track than ever before. From foreign income and international subscriptions to offshore investing, travel, and digital nomad life, the episode highlights the hidden costs and blind spots that can quietly erode your finances. You'll learn how exchange rates, fees, and payment timing impact your money, why separating currency conversion from spending can be a game changer, and how new banking technology is simplifying global payments behind the scenes. The experts also explain how multicurrency accounts and intelligent routing can help reduce friction, avoid unnecessary conversions, and give you more control when your life stretches across borders. If your lifestyle, income, or investments are international (or heading that way) this episode will help you understand how to make your global money work harder for you, with less stress and more control. 00:00 Introduction 02:00 How popular is online shopping? 04:00 How are South Africans online shopping overseas? 05:10 Banking allows global shopping 06:10 How are South Africans living and spending across borders? 09:00 What to consider when it comes to multi currency spending 09:30 Buying foreign currency vs global spending 11:00 How banking innovations make international spending easier 12:00 What is a multi currency account? 13:00 The technology behind multi currency accounts 15:15 Benefits of a multi currency account 17:05 How many people are using multi currency accounts? 19:30 Key takeaways for international spending 21:00 Conclusion Investec Focus Radio SA

 This is continual learning, right? Everyone has been talking about continual learning as the next challenge in AI. Actually, it's solved. Just tell it to keep some notes somewhere. Sure, it's not, it's not machine learning, but in some ways it is because when it will load this text file again, it will influence what it does … And it works so well: it's easy to understand. It's easy to inspect, it's easy to evolve and modify!Eleanor Berger and Isaac Flaath, the minds behind Elite AI Assisted Coding, join Hugo to talk about how to redefine software development through effective AI-assisted coding, leveraging “specification-first” approaches and advanced agentic workflows.We Discuss:* Markdown learning loops: Use simple agents.md files for agents to self-update rules and persist context, creating inspectable, low-cost learning;* Intent-first development: As AI commoditizes syntax, defining clear specs and what makes a result “good” becomes the core, durable developer skill;* Effortless documentation: Leverage LLMs to distill messy “brain dumps” or walks-and-talks into structured project specifications, offloading context faster;* Modular agent skills: Transition from MCP servers to simple markdown-based “skills” with YAML and scripts, allowing progressive disclosure of tool details;* Scheduled async agents: Break the chat-based productivity ceiling by using GitHub Actions or Cron jobs for agents to work on issues, shifting humans to reviewers;* Automated tech debt audits: Deploy background agents to identify duplicate code, architectural drift, or missing test coverage, leveraging AI to police AI-induced messiness;* Explicit knowledge culture: AI agents eliminate “cafeteria chat” by forcing explicit, machine-readable documentation, solving the perennial problem of lost institutional knowledge;* Tiered model strategy: Optimize token spend by using high-tier “reasoning” models (e.g., Opus) for planning and low-cost, high-speed models (e.g., Flash) for execution;* Ephemeral software specs: With near-zero generation costs, software shifts from static products to dynamic, regenerated code based on a permanent, underlying specification.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.You can also interact directly with the transcript here in NotebookLM: If you do so, let us know anything you find in the comments!

Non‑technical CEOs don't fail for lack of code, they fail for lack of control. This video breakdown how to manage a tech team, from grooming a backlog that kills developer idle time to separating Product Lead vs Tech Lead so every sprint ships value on schedule. If hiring is stalled or junior devs are slowing everything down, this playbook also covers force‑multiplier hiring, quarterly fractional CTO audits, and a simple system to maximize engineering velocity and hit MVP timelines. Chapters (00:00:00) - How to Manage a Dev Team on Time(00:02:33) - Hiring a Junior Developer is Stupid(00:04:39) - 3 Mistakes All Tech Companies Make(00:07:21) - 3 Tips for Non-Technical Founders(00:11:51) - The 5 Biggest

"It's really about helping merchants become more informed, helping them make more bold decisions."Aaron Glazer, Product Lead at Shopify, reveals two features from Winter '26 Edition that change how merchants test and optimize their stores. Rollouts brings native split testing directly into the admin. SimGym deploys AI agents trained on billions of purchases to find what's broken before real customers do.SPONSORSSwym - Wishlists, Back in Stock alerts, & moregetswym.com/kurtCleverific - Smart order editing for Shopifycleverific.comZipify - Build high-converting sales funnelszipify.com/KURTLINKSRollouts: Access via Markets tab in Shopify adminSimGym App: Search "SimGym" in Shopify App StoreWORK WITH KURTApply for Shopify Helpethercycle.com/applySee Our Resultsethercycle.com/workFree Newsletterkurtelster.comThe Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

What happens when a fragmented internal tool becomes the strategic backbone of a multibillion-dollar enterprise? In this podcast hosted by EY Platform Operations Lead Justin Leibow, Microsoft Senior Technical Product Lead Sangeetha Rajkumar shares how she rebuilt an overlooked portfolio system into a high-impact engine for clarity, alignment, and productivity. She traces her journey across T-Mobile, Microsoft, Amazon, and Walmart, and reflects on the product thinking, leadership lessons, and human-centered mindset that shaped her approach to scale and transformation.

How do you build an AI product that's powerful, reliable, and grounded in real user needs? In this podcast hosted by Qventus Product Director Mark Bailes, Google Product Lead Alankar Agnihotri discusses what it really takes to build impactful AI and LLM-driven products. He shares the hidden complexities behind model behavior, the shift from deterministic to probabilistic design, and what product managers must do to deliver AI experiences that scale. You'll hear firsthand insights from someone shaping Gemini in Android Automotive and building the future of in-car intelligence.

On this episode of GetConnected, we're digging into three big questions: How do you stay safe on the road, stretch your money abroad, and trust the tech inside your next car?   First, we look at your wallet on the go with June Yuan, Product Lead at Wise. New data from Wise shows ATM fees in some popular destinations have exploded — up over 1,300% in Vietnam and 3,500% in Indonesia — based on nearly 10 million ATM transactions worldwide. June explains what's driving the spike, how exchange rates and per-transaction limits quietly drain your budget, and practical ways Canadians can avoid getting gouged while travelling this holiday season.   Brandon Sturgis, Global Product Manager at BFGoodrich, joins us to unpack the latest in tire technology and safety. From winter grip and stopping distances to how modern tire design impacts EVs and SUVs, we'll talk about the science in that rubber keeping you on the road. Finally, we look at the future of crash-free driving with Åsa Haglund, Head of Volvo Cars Global Safety Centre. She shares how Volvo is using AI, advanced sensors, and 50+ years of crash data to engineer a world without collisions — from the Multi-Adaptive Safety Belt that adjusts to each passenger, to occupant sensing systems that help ensure no one is left behind in a hot car. Road safety, smarter money, and AI-driven car tech — it's all coming up on GetConnected.

Alexander Embiricos leads product on Codex, OpenAI's powerful coding agent, which has grown 20x since August and now serves trillions of tokens weekly. Before joining OpenAI, Alexander spent five years building a pair programming product for engineers. He now works at the frontier of AI-led software development, building what he describes as a software engineering teammate—an AI agent designed to participate across the entire development lifecycle.We discuss:1. Why Codex has grown 20x since launch and what product decisions unlocked this growth2. How OpenAI built the Sora Android app in just 18 days using Codex3. Why the real bottleneck to AGI-level productivity isn't model capability—it's human typing speed4. The vision of AI as a proactive teammate, not just a tool you prompt5. The bottleneck shifting from building to reviewing AI-generated work6. Why coding will be a core competency for every AI agent—because writing code is how agents use computers best—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc—Transcript: https://www.lennysnewsletter.com/p/why-humans-are-ais-biggest-bottleneck—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180365355/my-biggest-takeaways-from-this-conversation—Where to find Alexander Embiricos:• X: https://x.com/embirico• LinkedIn: https://www.linkedin.com/in/embirico—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 Alexander Embiricos (05:13) The speed and ambition at OpenAI(11:34) Codex: OpenAI's coding agent(15:43) Codex's explosive growth(24:59) The future of AI and coding agents(33:11) The impact of AI on engineering(44:08) How Codex has impacted the way PMs operate(45:40) Throwaway code and ubiquitous coding(47:10) Shipping the Sora Android app(49:01) Building the Atlas browser(53:34) Codex's impact on productivity(55:35) Measuring progress on Codex(58:09) Why they are building a web browser(01:01:58) Non-engineering use cases for Codex(01:02:53) Codex's capabilities(01:04:49) Tips for getting started with Codex(01:05:37) Skills to lean into in the AI age(01:10:36) How far are we from a human version of AI?(01:13:31) Hiring and team growth at Codex(01:15:47) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com• Codex: https://openai.com/codex• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Dropbox: http://dropbox.com• Datadog: https://www.datadoghq.com• Andrej Karpathy on X: https://x.com/karpathy• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Atlas: https://openai.com/index/introducing-chatgpt-atlas• How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna: https://www.lennysnewsletter.com/p/how-block-is-becoming-the-most-ai-native• Goose: https://block.xyz/inside/block-open-source-introduces-codename-goose• Lessons on building product sense, navigating AI, optimizing the first mile, and making it through the messy middle | Scott Belsky (Adobe, Behance): https://www.lennysnewsletter.com/p/lessons-on-building-product-sense• Sora Android app: https://play.google.com/store/apps/details?id=com.openai.sora&hl=en_US&pli=1• The OpenAI Podcast—ChatGPT Atlas and the next era of web browsing: https://www.youtube.com/watch?v=WdbgNC80PMw&list=PLOXw6I10VTv9GAOCZjUAAkSVyW2cDXs4u&index=2• How to measure AI developer productivity in 2025 | Nicole Forsgren: https://www.lennysnewsletter.com/p/how-to-measure-ai-developer-productivity• Compiling: https://3d.xkcd.com/303• Jujutsu Kaisen on Netflix: https://www.netflix.com/title/81278456• Tesla: https://www.tesla.com• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• Andreas Embirikos: https://en.wikipedia.org/wiki/Andreas_Embirikos• George Embiricos: https://en.wikipedia.org/wiki/George_Embiricos: https://en.wikipedia.org/wiki/George_Embiricos—Recommended books:• Culture series: https://www.amazon.com/dp/B07WLZZ9WV• The Lord of the Rings: https://www.amazon.com/Lord-Rings-J-R-R-Tolkien/dp/0544003411• A Fire Upon the Deep (Zones of Thought series Book 1): https://www.amazon.com/Fire-Upon-Deep-Zones-Thought/dp/1250237750• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Kick-Ass-Without-Humanity/dp/1250103509—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

Bending Spoons is the acquisition machine of the tech world. They have acquired the likes of Evernote, Vimeo, Eventbrite, Streamyard and more. However, they never open their gates to the secrets behind Evernote's product machine. Today that changes with Federico Simionato joining 20Product. Fede has been a Product Lead at Bending Spoons for 8 years where he has led product teams at Evernote, WeTransfer and more.   AGENDA: 03:02 From Dentist Games to $11BN Bending Spoons 04:54 Advice for Aspiring Product Managers 05:38 Building a Coveted Brand at Bending Spoons 07:43 Evaluating and Testing New Product Ideas 13:35 How Evernote has Mastered User Retention 25:24 The Impact of AI on Product Design and Prototyping 31:19 How Bending Spoons Does Product Launches and Lessons Learned 33:27 How Every Product Team Should Do Monthly Updates to Users 36:38 Recording and Transparency in Updates 38:06 Lessons from Failed Product Launches 45:14 Structuring Teams and Acquisitions 47:12 Monetization Strategies and Push Notifications 57:21 Quick Fire Round: Insights and Reflections  

Today, we are dropping our final episode in the series "The Railsware Way", sponsored by our good friends at Railsware. Railsware is a leading product studio with two main focuses - services and products. They have created amazing products like Mailtrap, Coupler and TitanApps, while also partnering with teams like Calendly and Bright Bytes. They deliver amazing products, and have happy customers to prove it.In this series, we are digging into the company's methods around product engineering and development. In particular, we will cover relevant topics to not only highlight their expertise, but to educate you on industry trends alongside their experience.In today's episode, we are speaking with Oleksii Ianchuk, Product Lead at Railsware, specifically for Mailtrap. Thought he doesn't like to limit his activities to product development, Oleksii has spent six years in product and project management, and is keen on searching for insights and putting them to work, as well as gauging the effects of his input.Questions:The story of Mailtrap starts with accidentally sending test emails to real users in 2011. How did Mailtrap evolve from an internal "fail" to a platform serving hundreds of thousands of users? How did that mistake spark the creation of Mailtrap, and what lessons did you learn about turning problems into opportunities?What made you decide to expand from email testing into Email API/SMTP delivery - and why was it harder than expected? What specific challenges around deliverability, spam fighting, and infrastructure caught you off guard?Can you walk us through the "splitting the product" mistake and its long-term consequences? Your team decided to separate testing and sending into different repositories and isolated VPC projects. What seemed like a good engineering decision at the time - how did this create problems as you scaled, and what would you do differently?You spent a year struggling with Redshift before switching to Elasticsearch - what did that teach you about technology decisions? You ran tests, evaluated alternatives, and still picked the wrong database for your use case. How do you balance thorough research with the reality that you can't always predict what will work until you're in production?When do you buy external expertise versus rely on your internal team? How do you decide when to hire outside knowledge, and how do you find the right consultants for niche problems?Why didn't existing Mailtrap users immediately adopt the Email API/SMTP feature, and what did that teach you?You expected current users to quickly transition to the new sending functionality. What did you learn about switching costs, user perception, and the challenge of changing how people think about your product?What business insights around deliverability, spam prevention, and compliance surprised you most?Email delivery isn't just about infrastructure - there's a whole ecosystem of postmasters, anti-spam systems, and compliance requirements. What aspects of this business were most unexpected, and how did they shape your product strategy?Looking at Mailtrap's 13-year journey, what's your philosophy on "failing fast" versus "building solid foundations"?Linkshttps://railsware.com/https://www.linkedin.com/in/yanch/Our Sponsors:* Check out Incogni: https://incogni.com/codestory* Check out NordProtect: https://nordprotect.com/codestorySupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Sid Ramesh is the Product Lead for Crypto-Backed Loans at Coinbase.In this episode, we explore Coinbase's newly launched product for ETH-backed loans, built entirely on Ethereum DeFi using Morpho on Base. We unpack exactly how these loans work, why they matter, and what this means for the future of onchain loans. Sid Ramesh brings an insider view into Coinbase's broader vision for permissionless financial products built on decentralized infrastructure like Ethereum.------

In today's podcast, John Siefert sits down with Magnus Perri, CEO, elevaite365 Test Automation, and Michael Catterall, Product Lead, elevaite365 Test Automation, to unpack how AI is redefining testing in Dynamics 365 projects. They discuss why manual testing overwhelms business users, how elevaite365 Test Automation's platform automates and adapts with AI, and how a community-driven script library accelerates implementation. It's test automation built for real-world complexity and speed.AI Testing, Real ResultsThe Big Themes:Testing Stress: Perri points out a systemic flaw in ERP and Dynamics 365 implementations: the burden of testing often lands on business users whose primary roles have nothing to do with quality assurance. This leads to rushed efforts, incomplete coverage, and high error rates. The fundamental issue isn't lack of diligence, it's misalignment. Elevaite365 Test Automation directly addresses this by reducing or eliminating the need for manual testing.Insight and Resilience Layers: Catterall describes how elevaite365 Test Automation's platform doesn't just mimic human testers, it enhances them. Once a user records a business process, the system converts it into a reusable, repeatable automated test. But what sets elevaite365 Test Automation apart is what happens next: It adds AI-powered layers that detect anomalies like incorrect field values, unexpected pop-ups, and subtle error messages that human testers often miss. This isn't basic scripting, it's intelligent validation that keeps evolving.AI Testing Brings Measurable ROI: While much of the conversation covered process pain and automation theory, the real value becomes evident in customer results. Elevaite365 Test Automation isn't just a nice-to-have, it delivers real ROI. Customers using the platform have reduced their testing cycles from weeks to hours, lowered defect rates in production, and significantly cut the manpower required for UAT (User Acceptance Testing). Because the tool is embedded in real Dynamics 365 workflows, it provides test coverage for processes that actually matter like purchasing, invoicing, inventory, and more.The Big Quote: "Testing is always falling onto the business users, not IT department ... so you go into testing and you're stressed, you have a lot to do. You're thinking about talking to the next supplier, and while you're doing that, you work through the testing as fast as you can, and you might miss stuff." Visit Cloud Wars for more.

Today, we are another episode in our series, sponsored by our good friends at Railsware. Railsware is a leading product studio with two main focuses - services and products. They have created amazing products like Mailtrap, Coupler and TitanApps, while also partnering with teams like Calendly and Bright Bytes. They deliver amazing products, and have happy customers to prove it.In this series, we are digging into the company's methods around product engineering and development. In particular, we will cover relevant topics to not only highlight their expertise, but to educate you on industry trends alongside their experience.In today's episode, we are speaking with Nika Tamayo Flores, Product Lead at Railsware, specifically for the Coupler product. She's been leading complex data-driven products for over eight years, and will enlighten us on conversational analytics, and how they can change a data focused product.Questions:Before we jump to the topic, let's define what exactly conversational analytics is. How does it differ from traditional dashboard-based data analysis?You've been integrating AI capacities into Coupler, Railsware's product focused on data analytics. How would you describe data analytics in pre-AI and AI era?What were the key challenges to embedding conversational analytics into Coupler?And what's the result? You've already released AI Insights – how do they transform user experience for data exploration?How do you ensure conversational analytics provides accurate and reliable insights?How does conversational analytics change who can be a "data user" in an organization?What's the learning curve like for organizations adopting conversational analytics?Where do you see conversational analytics heading - will it eventually replace traditional BI tools, or complement them?Linkshttps://railsware.com/https://www.linkedin.com/in/veronica-tamayo-flores/https://coupler.ioSupport this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation. We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI. This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering. Chapters 00:00:00 Introduction and GitHub Universe Recap 00:00:57 New York Tech Scene and East Coast Hackathons 00:02:19 From Google Search to AI Coding: Jed's Journey 00:04:19 Google Labs Mission and DeepMind Collaboration 00:06:41 Jules: Autonomous Coding Agents Explained 00:09:39 The Evolution of Agent Scaffolding and Model Quality 00:11:30 RAG vs Attention: The Shift in Code Understanding 00:13:49 Jules' Journey from Preview to Production 00:15:05 AI Engineer Summit: Community Building and Networking 00:25:06 Context Management in Long-Running Agents 00:29:02 The Future of Software Engineering with AI 00:36:26 Beyond Vibe Coding: Spec Development and Verification 00:40:20 Multimodal Input and Computer Use for Coding Agents

Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation.We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI.This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering.Full Video EpisodeTimestamps00:00:00 Introduction and GitHub Universe Recap00:00:57 New York Tech Scene and East Coast Hackathons00:02:19 From Google Search to AI Coding: Jed's Journey00:04:19 Google Labs Mission and DeepMind Collaboration00:06:41 Jules: Autonomous Coding Agents Explained00:09:39 The Evolution of Agent Scaffolding and Model Quality00:11:30 RAG vs Attention: The Shift in Code Understanding00:13:49 Jules' Journey from Preview to Production00:15:05 AI Engineer Summit: Community Building and Networking00:25:06 Context Management in Long-Running Agents00:29:02 The Future of Software Engineering with AI00:36:26 Beyond Vibe Coding: Spec Development and Verification00:40:20 Multimodal Input and Computer Use for Coding Agents Get full access to Latent.Space at www.latent.space/subscribe

How do top product leaders navigate the complex journey from startup to IPO? In this podcast hosted by EY Platform Operations Lead Justin Leibow, Amazon Senior Technical Product Lead Suvarsha Rai will be speaking on scaling SaaS products and driving innovation in enterprise technology. Drawing from her extensive experience across Oracle, Freshworks, and Amazon, Suvarsha shares critical insights into product management strategies, AI integration, and the evolving landscape of technology leadership.

Trev travelled to Ferrari's factory to see their Electric Car plans, but no car. We've got an exclusive chat with their Product Development Boss, Gianmaria Fulgenzi about how an Electric Ferrari can still be a Ferrari. Plus Ken has a Sealion 7 and loves it, while Stan is out on a road trip. His Polestar 2 has done a lot of distance, but he's got eyes and money down on a new car. Get in touch, SMS us thanks to Vodafone on 0477 657 657 All thanks to Uniden Dashcams and NRMA Insurance

In this episode of Today in Tech, host Keith Shaw is joined by Sydnee Mayers, Product Lead for AI at Cribl, to explore the fast-growing world of AI certifications. As tech companies, cloud providers, and universities race to offer AI training programs, how can professionals know which certifications matter — and which ones might be outdated before you even finish them? We break down: The explosion of AI certifications post-ChatGPT The most popular programs (Microsoft, Amazon, Google, Andrew Ng) Why developer skills don't always translate to working with AI The difference between a “course” and a real certification How employers actually view AI certs in hiring decisions The skills (like prompt engineering) that still aren't being formally taught The lack of certifications for non-technical roles (sales, marketing) Why AI certifications may never become standardized — and what to do instead

Ben Elvidge, Product Lead of xU3O8, believes that structural tightness in the uranium market, driven by years of underinvestment and exacerbated by a bifurcating geopolitical landscape, is meeting an ever-growing demand side being ignited by a growing nuclear renaissance unlike anything the world has seen and creating a perfect storm for prices to rise much higher. Ben also dives into xU3O8, a digital platform that facilitates retail purchasing and trading of physical uranium, along with their latest innovation: the world's first live uranium spot price oracle.Buy Uranium With xU3O8: https://uranium.ioLive Price Oracle: https://price.uranium.ioFollow xU3O8 on X: https://x.com/uranium_ioDisclaimer: Commodity Culture was compensated by xU3O8 for producing this interview. Nothing contained in this video is to be construed as investment advice, do your own due diligence.Follow Jesse Day on X: https://x.com/jessebdayCommodity Culture on Youtube: https://youtube.com/c/CommodityCulture

Tim is the Global Head of Strategy at Mantle and YZ is Product Lead.Mantle is placing some of the biggest bets on their Ethereum L2, a DeFi neobank (UR), a long-standing $500M ETH treasury, and a new major Bybit partnership. In this episode, we unpack the implications of all this in growing demand for their DeFi economy.------

Todd Falker is a life long runner, completing 100 marathons and FKT across Michigan (225mi/362k). He is the Product Lead at Puma. With his time at Puma, Todd has become a key member in growth and innovation, helping bring shoes testing at the peak of performance efficiency to market. Todd: IG: @toddfalker | Linkedin Endurance Training Simplified Series LMNT: drinkLMNT.com/HPO (free sample pack with purchase) deltaG: deltagketones.com Code: BITTER20 (20% Off) CurraNZ: curranzusa.com Code: Bitter20deal (20% Off) Support HPO: zachbitter.com/hposponsors HPO Website: zachbitter.com/hpo  Zach's Coaching: zachbitter.com/coaching Zach's Journal: substack.com/@zachbitter Find Zach: zachbitter.com | IG: @zachbitter | X: @zbitter | FB: Zach Bitter | Strava: Zach Bitter

In this episode of Engineering Enablement, host Laura Tacho talks with Bruno Passos, Product Lead for Developer Experience at Booking.com, about how the company is rolling out AI tools across a 3,000-person engineering team.Bruno shares how Booking.com set ambitious innovation goals, why cultural change mattered as much as technology, and the education practices that turned hesitant developers into daily users. He also reflects on the early barriers, from low adoption and knowledge gaps to procurement hurdles, and explains the interventions that worked, including learning paths, hackathon-style workshops, Slack communities, and centralized procurement. The result is that Booking.com now sits in the top 25 percent of companies for AI adoption.Where to find Bruno Passos:• LinkedIn: https://www.linkedin.com/in/brpassos/• X: https://x.com/brunopassosWhere to find Laura Tacho:• LinkedIn: https://www.linkedin.com/in/lauratacho/• X: https://x.com/rhein_wein• Website: https://lauratacho.com/• Laura's course (Measuring Engineering Performance and AI Impact) https://lauratacho.com/developer-productivity-metrics-courseIn this episode, we cover:(00:00) Intro(01:09) Bruno's role at Booking.com and an overview of the business (02:19) Booking.com's goals when introducing AI tooling(03:26) Why Booking.com made such an ambitious innovation ratio goal (06:46) The beginning of Booking.com's journey with AI(08:54) Why the initial adoption of Cody was low(13:17) How education and enablement fueled adoption(15:48) The importance of a top-down cultural change for AI adoption(17:38) The ongoing journey of determining the right metrics(21:44) Measuring the longer-term impact of AI (27:04) How Booking.com solved internal bottlenecks to testing new tools(32:10) Booking.com's framework for evaluating new tools(35:50) The state of adoption at Booking.com and efforts to expand AI use(37:07) What's still undetermined about AI's impact on PR/MR quality(39:48) How Booking.com is addressing lagging adoption and monitoring churn(43:24) How Booking.com's Slack community lowers friction for questions and support(44:35) Closing thoughts on what's next for Booking.com's AI planReferenced:Measuring AI code assistants and agentsDX Core 4 FrameworkBooking.comSourcegraph SearchCody | AI coding assistant from SourcegraphGreyson Junggren - DX | LinkedIn

Episode 186 with Luther Lawoyin, Founder and CEO of PricePally, a pioneering e-commerce platform transforming how consumers access fresh food across African cities. Luther Lawoyin brings a powerful blend of entrepreneurial vision, technological innovation, and deep market insight to this conversation on the future of food distribution in Africa. In this episode, he discusses how PricePally connects consumers directly to farmers and wholesalers, enabling affordable, portioned, or bulk food purchases through a demand-driven model that reduces waste and supports sustainable agriculture. Luther unpacks how the platform leverages data analytics, AI, and strategic partnerships to streamline supply chains and respond to food security challenges exacerbated by inflation, policy instability, climate change, and why the company is now eyeing food exports to the diaspora.What We Discuss LutherThe personal and systemic challenges that inspired Luther Lawoyin to launch PricePally and reimagine food access across urban Africa.How PricePally's group-buying model and demand-driven approach are reducing food waste, lowering prices, and improving farmer income.The role of data, predictive analytics, and intentional contracting in creating a more efficient and sustainable supply chain.Why PricePally is expanding into food exports and targeting the African diaspora in the US and UK with competitively priced ethnic staples.The urgent need for greater investment and public-private collaboration in agriculture to unlock food security and long-term resilience.Verto CornerIn this week's Verto Corner, Rodrigo Cruz, Product Lead at Verto, looks at how businesses can use payment automation to save time and improve financial health. He explains why automation is more than just a way to speed up routine transactions, showing how it can strengthen cash management, reduce errors and free up teams to focus on growth. Rodrigo also highlights the most important features companies should prioritise when considering automation, ensuring they choose solutions that add real value rather than simply digitising existing inefficiencies. Access the Strategy HandbookDid you miss my previous episode where I discus Using Smart Technology to Make Electricity Cheaper, Cleaner and More Reliable for African Homes? Make sure to check it out!Connect with Terser:LinkedIn - Terser AdamuInstagram - unlockingafricaTwitter (X) - @TerserAdamuConnect with Luther:LinkedIn - Luther LawoyinTwitter - @PricePallyDiscover how Verto's solutions can help you accept payments, manage expenses, and scale with ease here

How can product leaders use AI to leapfrog competitors in mature markets? In this podcast hosted by Nacho Andrade, Vail Systems Product Lead Swetha Viswanatha will be speaking on strategic product innovation in the telecom industry. She shares hard-earned lessons on transforming traditional telecommunications through creative AI integration and customer-centric design.

In this episode of The Product Experience, Randy Silver speaks with Dariusz Dziuk, Product Lead for Music Expression at Spotify, about the origins and evolution of Canvas, the looping visuals that accompany music tracks. From early assumptions and first principles thinking to scaling and measuring marketplace success, he shares how a bold experiment turned into one of Spotify's most engaging features.Key Takeaways— Balancing Art and Science: Product management often lives between structured analysis and intuitive creativity—success lies in mastering both.— First Principles and Assumptions: Questioning defaults—like static, square cover art—can open doors to bold innovation.— Real Stakes Drive Real Creativity: Artist engagement with Canvas only truly emerged once the stakes felt genuine and public.— Marketplace Thinking: Canvas succeeded because it delivered value for all marketplace participants—creators, consumers, and the platform itself.— Innovation Through Structure: Weekly design sprints and rapid prototyping allowed Spotify's innovation lab to explore and discard ideas quickly, eventually landing on Canvas.— Scaling Insights: Measurable impact came later—higher engagement, saves, shares, and a new visual identity for music on Spotify.— Artist-Centric Focus: Prioritising the needs of the supply side (artists) can unlock cold start challenges and marketplace growth.Chapters0:00 – Marketplace Thinking at Spotify1:20 – Darius Jurek's Journey into Product2:45 – From Engineering to 0-to-1 Product Innovation4:00 – Is Product Management an Art or a Science?6:30 – The Brief: Connecting Creators and Fans8:20 – Building an Innovation Lab10:00 – Exploring Dozens of Ideas11:45 – Why Canvas Won Out13:10 – The Challenge of Validating a New Format16:00 – Questioning the Assumptions Around Cover Art19:00 – Real Stakeholder Feedback and Creative Buy-In21:00 – Marketplace Metrics of Success23:30 – Canvas and the Evolution of Music Discovery26:00 – Visual Design, Collaboration, and Artist Empowerment28:00 – Darius on Supplier-Led Product StrategyFeatured Links: Follow Dariusz on LinkedIn | Dariusz's website | Spotify | '#mtpcon @ Pendomonium 2024 Encore' recap 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.

With over 30 years of experience at Beck's, Doug Clouser has seen—and shaped—a lot of change. Starting as an intern and now serving as our Product Lead, Doug joins David on this episode of Across The Acres to reflect on the people, lessons, and passions that have defined his journey.

What makes a product truly irresistible in today's competitive market? In this podcast hosted by QVentus Product Director Mark Bailes, Amazon Fmr Product Lead Shalaka Kharche speaks on mastering product-led growth and innovation strategies. Drawing from her extensive experience across technology companies like Amazon and GE, Shalaka unpacks how organizations can transform their approach to product development, customer acquisition, and continuous innovation. Listeners will gain insights into creating products that not only attract users but keep them engaged through data-driven, user-centric design.

How can product managers shape the future of digital technology (for the better)? In this podcast hosted by Nacho Andrade, Reddit Product Lead Rachel Miller shares how she's leveraged her experience scaling Reddit Search and AI products to build impactful digital tools for millions of users and expand into new markets. She shares insights on using product management expertise to drive meaningful change, from improving the search experience at Reddit to building digital products at Taimaka to treat malnutrition in Nigeria. Discover how your product skills can advance technology far beyond the corporate world, push the boundaries of digital innovation, and build a better future in technology.