Zero to One: Product Journeys

Raman Rajakumar

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.

  1. Data Is the Moat: What Working with the Frontier Labs Actually Teaches You | Deepak Tiwari

    1d ago

    Data Is the Moat: What Working with the Frontier Labs Actually Teaches You | Deepak Tiwari

    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 anticipatedHow the enterprise transformation playbook that worked at Google Cloud became the blueprint for Turing's 10x growthWhat working directly with the frontier labs taught him about why data is the real moat in AIBuilding 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 possibleWhy the biggest drivers of user experience at Lyft had nothing to do with the app, and everything to do with backend MLThe three levers that actually improve a model, and why good PMs need to hold all three in viewWhy the manager who barely had time for one-on-ones taught Deepak the most important career lessonAn interesting conversation for PMs and product leaders who want to understand how AI products actually get built, from the infrastructure up.

    33 min
  2. May 29

    Build vs Buy, Acquisition Integration, and Launching Agentic AI in Construction | Rajitha Chaparala

    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. In this episode, we cover: How she built AI for M&A due diligence when she couldn't access actual customer documents, and why crowdsourcing training data on Upwork was the only path forwardThe redaction product that emerged as a happy accident from the same NLP foundation, and what that taught her about building on existing platformsThe five principles she used to run two massive parallel workstreams during ZoomInfo's acquisition integration, and why clarity of vision matters more than process when you're moving fastThe build vs buy decision at every company she's been at, and why the answer has been different every timeWhy human-in-the-loop isn't a limitation in construction AI, it's the right design for where accuracy and governance currently standWhy she hires for adaptability above everything else, and what breaks when you don'tA conversation for data and AI product leaders who want a grounded view of what it takes to build AI products in industries that don't forgive mistakes.

    35 min
  3. May 15

    Building Across Every Platform Shift - Google, Oculus VR and Beyond | Robert Hamilton

    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! 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. In this episode, we cover: What it was like building Scan Mobile in 1999, raising $10M, and learning that being early pays the same as being wrongHow Google approached app distribution before app stores existed, and what that bet taught the team about building for the futureThe real challenge of VR retention and why getting someone to put something on their head is harder than it soundsWhat keeps pulling Robert toward the frontier rather than the established thingWhy the biggest barrier holding PMs back has nothing to do with skills or AI toolsHis framework for PMs at every stage: increase clarity and drive progressA conversation for PMs who want to think differently about building, navigating platform shifts, and understanding themselves before they try to understand the technology. You can find out more about Robert's current work here.

    33 min
  4. Mar 5

    Scaling Multi-Billion AI Platforms at Salesforce, Adobe, and Freshworks | Sriram Iyer

    Sriram Iyer has spent the last two decades building and scaling enterprise platforms across Salesforce, Adobe, and Freshworks. Over that time, he has helped grow products from sub-$1B to multi-billion dollar ARR, working across platform strategy, AI systems, and now full general management with P&L ownership. In this conversation, we explore the journey behind those platforms and the decisions that shaped them. Sriram shares how he moved from consulting into product management during the early days of cloud computing at Salesforce, helped build intelligence layers that later evolved into Einstein AI, and later led the growth of Adobe’s Digital Video business from $700M to $2.2B ARR at Adobe. We also discuss his transition from product leadership into full GM ownership and what changes when you move from building products to building businesses. Topics we cover include: • Transitioning from consulting into product leadership • Building intelligence layers inside Salesforce before AI became mainstream • The technical and infrastructure challenges behind scaling Adobe’s video platform • What changes when product leaders take on GM and P&L ownership • Why AI is a generational technology wave and how enterprise adoption may evolve • Advice for product managers thinking about long-term careers A thoughtful conversation on platform thinking, enterprise AI, and the realities of scaling products inside large technology companies.

    40 min
  5. Jan 15

    From Startups to Stripe, Trade-offs, Conviction, and Building in Ambiguity | Rama Veeraragoo

    Welcome to 2026, and a new run of conversations on Zero to One. In this episode, I’m joined by Rama Veeraragoo, a founder and product leader who’s built across early-stage startups, scaled platforms, and now at the edge of agentic systems. Rama has led 0-1 product bets at Stripe and previously co-founded DocuVision.ai, an NLP and computer vision redaction company acquired by OneTrust, where he went on to lead the Data Redaction offering. We unpack what actually separates Founder PM mode from Traditional PM mode, not as a skills debate, but as a difference in operating systems. Survival versus scale. Rama shares hard trade-offs from building in deeply regulated environments, including what it takes to pause growth in one area to pursue a high-stakes bet in another. We also get into what building in fast-moving, poorly defined technical spaces demands from product leaders today, how to stay “hacky” inside large organizations, and why speed and deep product thinking have to coexist, especially as agentic systems reshape how software gets built. In this episode, we cover: Rama’s unconventional path into product Why early-stage product often runs on intuition before data Founder mode vs manager mode, and when each breaks down What feels genuinely different about building products in the agentic era If you’re building in ambiguity, or trying to balance speed with craft, you'll love this episode.

    34 min

About

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.