What does it mean to prompt AI the product manager way? In this podcast hosted by Hoda Mehr, Co-founder and CEO of Up My Mojo and a Board Member at Products That Count, Ridge Ventures Venture Partner Akriti Dokania will be speaking on how product leaders can approach AI prompting with a product mindset. Akriti brings a rare perspective, having worked as an engineer and product manager at Amazon and Microsoft and now serving as a venture partner and board member to several successful B2B startups.

The conversation was sparked by an article Akriti recently published on how to prompt AI models the product manager way, an idea that reframes the current AI conversation. While much of the industry focuses on what AI models can do, Akriti argues that the real variable is the person using them: how the problem is framed, how the conversation is structured, and whether the user knows what kind of help they are actually looking for.

Together, they go deep on practical frameworks product builders can use immediately, the mindset shifts that separate those who get real value from AI from those who stay in the shallow end, and what Akriti's experience across engineering, product management, and venture investing reveals about the difference between product builders who are truly AI-native and those who are simply using AI.

How can product leaders navigate the shift from product-centric to platform-centric strategies in financial services? In this podcast hosted by EY Chief Platform Officer within the Financial Services Organization Justin Leibow, Tavant Associate Director of Product Management Sandeep Shivam discusses the evolution of lending experiences through a platform approach. They explore the role of user research in product development, the impact of AI on customer expectations, and the importance of building trust in AI systems. Sandeep shares insights on optimizing operational efficiency, the challenges of regulatory compliance, and the significance of creating real value for users. This episode offers practical guidance for product leaders aiming to enhance user experience and leverage AI effectively in their strategies

How can AI eliminate one of the most frustrating parts of knowledge work: tracking and reporting time? In this podcast hosted by iDonate VP Product & Engineering Nacho Andrade, Laurel Chief Product Officer Jiaona Zhang discusses how AI can automatically capture and classify how professionals spend their time, turning everyday activity into structured insights. The conversation explores how AI agents can automate tedious workflows like timesheets while helping product teams move faster, stay grounded in user problems, and rethink leadership in an AI-native organization.