Zero to One features bi-weekly conversations with some of the world's best Product leaders, unpacking the real decisions behind building and scaling category-defining products. Each episode focuses on trade-offs, judgment calls, and lessons that help sharpen how you think and operate as a product professional.Featured guests have come from foundational companies, including AWS, Stripe, UiPath, Twilio, Amplitude, X, Box, Google, 1Password, PrizePicks, VMware, Fitbit, Gusto, Upwind Security, Salesforce, Freshworks, PayPal, and many more.
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Zero to One: Product Journeys is a technology podcast hosted by Raman Rajakumar, with 28 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Raman Rajakumar hosts Zero to One: Product Journeys, a technology show with 28 episodes published.
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Episode #27
Why Understanding Human Behavior Is Still the Core Product Skill | Talia Schmerling
Jul 31, 202630 minS3
Talia Schmerling started out doing cancer research before switching to computer science, and her path runs through the Mayor's Office in LA, Mint.com, Disney, Nordstrom, and now as VP and Head of Product and GTM at Swiftly, alongside seven years as an Entrepreneur in Residence at Scopus Ventures. In this episode, we cover: How she talked her way into working with Dan Ariely at Intuit after discovering the company had him on retainer and wasn't using him Why prevention beats aspiration - "don't miss a transaction" outperforms "get your full financial picture" - and what loss aversion actually does to behaviour The anchoring experiment she coded and shipped herself days before Black Friday, flipping which price customers saw first, and the millions in sales it drove over one weekend Why the old PM model of writing specs and handing them off breaks down when you can prototype in days Her honest take on PMs using AI: if it's all Claude, she can just ask Claude herself Why seed to Series B companies are the most exposed right now, caught between AI native startups and incumbents with data and distribution Why she stopped presenting one-year roadmaps and what she does instead A conversation for PMs and product leaders who want to understand what the role is actually becoming, from behavioural experimentation to building in a market where the foundations shift every six months.
Data Is the Moat: What Working with the Frontier Labs Actually Teaches You | Deepak Tiwari
Jun 12, 202633 minS3
Deepak Tiwari came up through engineering and strategy consulting at Accenture before moving into product, and his career has run through some of the most consequential AI and infrastructure builds of the last 15 years, across Google, Lyft, Turing, and Meta. At Turing, he served as CPO and built the training data platform used by OpenAI, Anthropic, DeepMind, and Meta. Before that, he helped take Google Cloud from fewer than $0 to $500M in annual revenue. He's now at Meta, leading product across ranking, relevance, and generative AI systems at Instagram scale. In this episode, we cover: What it took to pitch Google Cloud's CEO on a net-new product from scratch, and what happened when customers started using it in ways the team never anticipated How the enterprise transformation playbook that worked at Google Cloud became the blueprint for Turing's 10x growth What working directly with the frontier labs taught him about why data is the real moat in AI Building Meta's first generative AI ads product with no prior playbook, and reading transformer and diffusion model papers from scratch to understand what was actually possible Why the biggest drivers of user experience at Lyft had nothing to do with the app, and everything to do with backend ML The three levers that actually improve a model, and why good PMs need to hold all three in view Why the manager who barely had time for one-on-ones taught Deepak the most important career lesson An interesting conversation for PMs and product leaders who want to understand how AI products actually get built, from the infrastructure up.
Build vs Buy, Acquisition Integration, and Launching Agentic AI in Construction | Rajitha Chaparala
May 29, 202635 minS3
<p>Rajitha Chaparala has spent 20 years building data and AI products in some of the world's most heavily regulated industries. She founded Intralinks' AI Center of Excellence, scaled the data platform at ZoomInfo through two simultaneous acquisitions delivering eight figures of incremental revenue in year one, and has spent the last four years as VP of Product for Data and AI at Procore, bringing AI into one of the most document-heavy, safety-critical industries in the world.</p><p>In this episode, we cover:</p>How she built AI for M&A due diligence when she couldn't access actual customer documents...
Building Across Every Platform Shift - Google, Oculus VR and Beyond | Robert Hamilton
May 15, 202633 minS3
<p>Firstly, welcome to Season 3, and thank you to all my listeners! Please follow and rate the show so I can keep bringing on incredible Product leaders on the podcast!</p><p><br></p><p>Robert Hamilton has been building products since before the Web existed. He founded the world's first SMS search and shopping company in 1999, spent 8 years at Google shipping the Google Mobile App, Voice Search, and Nexus hardware, and helped build the Oculus VR platform before anyone had figured out headset retention. He now helps and coaches PMs and product leaders full-time to accelerate their careers. </p><...
Inside AWS, Stripe & Google Cloud: The Hard Truth About Scaling Enterprise Platforms | Bob Krentler
Apr 2, 202634 minS2
<p>How do you actually scale enterprise platforms inside companies like AWS, Google Cloud, and Stripe?</p><p>In this episode of Zero to One, I sit down with Bob Krentler, former GM at AWS and Product leader at Stripe and Google Cloud, to break down what it really takes to build, operate, and monetize Enterprise-grade platforms at massive scale.</p><p>Bob has led multi-billion dollar product lines, driven Enterprise modernization efforts across the cloud, and built vertical solutions powering some of the world’s most important companies.</p><p>We cover:</p>The biggest mistakes teams make when mo...
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