Product judgment for an AI-shaped market.
Product Talk brings product leaders and founders into focused conversations about how modern products get built. Recent episodes lean into AI, trust, platform strategy, sustainability, customer experience, and the hard gap between promising technology and usable outcomes.
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Product Talk is an interview-centered show about the real work behind product leadership. The format is straightforward. A product leader or founder joins a host, explains the path that brought them into the work, then moves into the product decisions shaping a company or category. Recent episodes are strongly focused on AI. The show asks where AI belongs in marketing, security, customer experience, financial services, prompting, and platform strategy. It does not treat the technology as mystical. Again and again, guests frame AI as a system with strengths, limits, failure modes, and adoption problems that product teams have to understand before customers will trust it. That makes the show useful. Conversations about forecasting connect marketing to inventory and operations. Discussions of enterprise AI security focus on data flows, compliance gaps, and how risk becomes visible to a buyer. Customer experience episodes look at agentic AI through user-centered design, ambiguity, and the difference between a technologist’s assumptions and a user’s reality. Financial services conversations bring in platform thinking, mortgage and banking workflows, fraud, anti-money-laundering work, and the higher standard users apply when AI gets something wrong. The show also spends time on craft. Prompting is treated as a product-management skill, with context, roles, experimentation, and iteration presented as practical tools rather than tricks. Career stories matter too, especially when guests trace moves from engineering, founding, investing, design, or enterprise leadership into product roles. The result is a brisk, useful business conversation with a strong bias toward examples. It is not a news show and not a futurist monologue. Product Talk works best for listeners who want to hear how experienced builders reason through trust, customer impact, technical constraints, and strategic focus when the market is moving quickly.
Made for: Product managers, founders, and product-minded executives who care about AI adoption, enterprise trust, customer workflows, and practical strategy. It is especially suited to listeners who prefer concrete product reasoning over broad technology hype.
What sets it apart: The show stands out by tying AI and product strategy to operating details: data flows, user expectations, platform shifts, compliance gaps, go-to-market choices, and where real systems break. Its rotating interview format keeps the perspective broad while staying close to product execution.
Produced by Products That Count, a 501(c)3 nonprofit that helps everyone build great products, this podcast is an award-winning show by and for product minds, with millions of downloads and a 5-star rating on most major platforms. Each of the 300+ episodes features a product leader interviewing another product leader and exploring what it takes to build great products. Recent ones feature the Chief Product Officers of Brex, Glassdoor, Experian and more.About Us: Products that Count is a 501(c)3 nonprofit that helps everyone build great products. It celebrates product excellence through coveted Awards that inspire 500,000+ product managers and honor great products and the professionals respon…
Based on 5 episodes we listened to · September 2026
Product Talk makes product design concrete by tracing how leaders turn AI ambitions into workflows, trust and usable decisions.
Product Talk treats product building as a practical design discipline, with Hoda Meir, Jenny Solaipan, Justin Lebo and Maggie Wong guiding conversations with leaders responsible for products, platforms and infrastructure.
AI hype meets the customer expecting perfection, while you quietly rewrite your roadmap.
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Short reviews from the PlayNext desk, based on the episodes we processed.
AI products work best when trust and the surrounding system do the heavy lifting.
Product Talk treats AI less as a technical race and more as a test of product judgment. Justin Lebo, the host and Chief Platform Officer within EY's Financial Services Organization, and Dheeraj Bhat, a Product Manager at Unit 21 and a recent Product Account Award winner, make…
A compact prompt lesson on making AI less generic and more responsive.
Product Talk frames AI prompting as a practical craft, with Hoda Meir and Akriti Dekania presenting a simple two-step pattern: start with context, then give the model a role.
A practical Product Talk review of platform strategy, AI expectations, and the trust gap between human and machine error.
Product Talk frames the shift from standalone products to platform-first strategy as a trust problem, not just a product roadmap question. Justin Lebo uses financial-services examples to draw Sandeep Shibham into the pressure now surrounding AI: clients expect the capability,…
A grounded product-minded look at agentic AI in customer conversations.
This conversation with Sirisha, head of product and design at Level AI, frames agentic AI as a product problem as much as a technical one. It is most useful when it stays with the work of turning ambiguity into structure: aligning teams, making complex systems legible, and…
A grounded look at turning EV charging demand into an infrastructure business.
Scaling electric-vehicle infrastructure lands here as a practical business question: when resident demand is visible, property owners have a clearer way to judge whether chargers belong on-site.
Rob Walling on bootstrapped SaaS growth, plateaus, and exits — with founders who lived them.
Abbey Ashley's playbook for turning your job skills into a virtual assistant business.
SaaS operators on scaling, pricing and AI, metrics included.
Alex Blumberg interviews guests like Megan Phelps-Roper and Shane McAnally about failure and reinvention.
Property owners are listening.
Ambiguity is where this one starts.
This episode features an interview with Samia Bhatnagar, CPO of Involve.ai, discussing her company's AI-powered SDR agents that automate sales processes and her journey as a product leader.
This episode features an interview with BJ Boyle, former CPO of PointClickCare, discussing how AI and technology can address healthcare staffing shortages and improve patient care in senior care settings.
Sai's move from food engineering to DoorDash product management shows how domain expertise can help offset limited software experience.
Product Talk host Katrina Benjamin interviews Nikita Miller, Chief Product Officer at Perk, about product leadership as AI makes prototyping faster and product roles increasingly overlap.
Product Talk interviews former Ingram Micro CPO Ambrish Verma about transforming a 45-year-old, $52 billion technology distributor into an AI-native marketplace.
Sam's Club's Scan and Go began with three people and reached 40% customer adoption.
Mike Lee, founder of Cognitive.ai, discusses how AI connects marketing, inventory, and operations through forecasting, and shares insights on entrepreneurship and learning from failure.
This episode features an interview with Jill Marini, CEO and co-founder of Mothership Materials, discussing her background as a four-time founder and how her company aims to rebuild foundational infrastructure for sustainable manufacturing to address climate change.
Anar, Head of Product at Polygraf AI, discusses his career journey from software engineer to product leader and the importance of securing AI adoption in enterprises.
Sirisha, Head of Product at Level AI, discusses building trusted agentic AI solutions for customer experience by combining technical expertise with human-centric design.
A former Amazon and PayPal leader discusses common mistakes in AI product development, emphasizing the importance of understanding AI's limitations to avoid product failures.
AI is not treated as a replacement story here.
Experimentation is the PM playground, and this episode treats AI that way.
AI has a trust problem.
This episode discusses why AI projects often fail due to using traditional deterministic methods instead of probabilistic approaches, featuring an interview with Greg Noodleman who shares his experience and the Snowball Design Sprint framework for successful AI product validation.
This episode features an interview with Amit Goravar, Director of Product Management at Reddit, discussing his experience scaling YouTube's ads business and his current role in advancing Reddit's advertising with GenAI.
This episode features Gabe Schindler discussing how product design rules are evolving in the AI era, based on his experience growing Handshake AI from zero to over $100 million in revenue.