How product teams are changing
What AI compression means for roles, expectations, and org structure and who is restructuring right now
A candid conversation with two veteran product leaders on how AI is reshaping product team structure, what companies are getting wrong about speed, and how to hire the right product talent for what comes next.
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📅 Wednesday, May 20th, 2026 🕛 12:00 PM ET / 9:00 AM PT |
⏱ 45 minutes (30 min + 15 min Q&A) 💻 Live virtual - Free to attend |
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AI isn't just changing what product teams build; it's changing how they're structured, who they hire, and how fast they're expected to move. For companies scaling product in 2026, the pressure to go faster has never been higher. But faster in the wrong direction is still wrong.
In this fireside chat, Martyn Bassett and Daniel Shapiro will cut through the noise on what's actually shifting inside product organizations right now and what that means for the people you hire to lead them.
What AI compression means for roles, expectations, and org structure and who is restructuring right now
Why shipping faster without strategic clarity is a hiring problem and how to correct it before it compounds
How leaders are recalibrating between domain expertise and learning agility when hiring product roles in AI-assisted cycles
Bring your hiring questions. We'll address them live and connect the discussion directly to your team decisions
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Founder & CEO, Martyn Bassett Associates
Martyn has spent 20+ years placing product, sales, and marketing leaders at venture-backed B2B SaaS companies across North America. He has seen more hiring cycles, org restructures, and talent market shifts than most and speaks with operators, not at them.

Product Leader | Former CPO, Workleap & PartnerStack
Daniel is a product leader with 20+ years of experience building software products and scaling the teams behind them. He has served as Chief Product Officer at Workleap and PartnerStack, leading product, design, and engineering organizations through significant growth, multiple acquisitions, and the early integration of AI into product strategy.
Daniel has built and restructured product teams across B2B SaaS, fintech, HR tech, loyalty, and IT management, with earlier career roots at Microsoft across Azure, SQL Server, and Developer Tools. He is currently building at the intersection of AI, healthcare, and pharma — exploring how AI agents and modern development tools can solve problems in industries underserved by technology. Based in Toronto.