5 episodes

Hear from distinguished software product and engineering leaders and learn about their real-world experiences of building exceptional products. Each episode will feature an innovative leader covering topics ranging from product-led growth to generative AI. If you are passionate about building products that customers fall in love with, this is for you. Visit McKinsey Product Academy to find out more. 

McKinsey on Building Products McKinsey & Company

    • Business

Hear from distinguished software product and engineering leaders and learn about their real-world experiences of building exceptional products. Each episode will feature an innovative leader covering topics ranging from product-led growth to generative AI. If you are passionate about building products that customers fall in love with, this is for you. Visit McKinsey Product Academy to find out more. 

    Kareem Yusuf on building sustainability products for your customers

    Kareem Yusuf on building sustainability products for your customers

    In this episode of McKinsey on Building Products, listen to Kareem Yusuf, SVP of Product Management and Growth at IBM, and McKinsey partner Rikki Singh for an insightful discussion on building sustainability products, the connection between sustainability and profitability, and how to empower customers to be more sustainable.

    This conversation originally took place as part of the McKinsey Product Academy speaker series.

     
    See www.mckinsey.com/privacy-policy for privacy information

    • 24 min
    Thomas Dohmke on improving engineering experience using Generative AI

    Thomas Dohmke on improving engineering experience using Generative AI

    In this episode of McKinsey on Building Products, join Thomas Dohmke, CEO of GitHub, and McKinsey partners Rikki Singh and Shivam Srivastava for an insightful discussion on generative AI’s impact on software engineering experience, the evolution of the developer's role, and the opportunity to accelerate innovation.

    This conversation originally took place as part of the McKinsey Product Academy speaker series.
    See www.mckinsey.com/privacy-policy for privacy information

    • 25 min
    Alex Hardiman on product outside of pure technology companies

    Alex Hardiman on product outside of pure technology companies

    In this episode of McKinsey on Building Products, join Alex Hardiman, Chief Product Officer of the New York Times, for an insightful discussion on how to build successful products outside of pure technology companies. Alex shares her team’s approach to product driven growth, and the power of creativity when driving value for consumers.

    This conversation originally took place as part of the McKinsey Product Academy speaker series.
    See www.mckinsey.com/privacy-policy for privacy information

    • 26 min
    Pali Bhat on building intelligent products

    Pali Bhat on building intelligent products

    In this episode of McKinsey on Building Products, join Pali Bhat, Chief Product Officer of Reddit, in conversation with our host Chandra Gnanasambandam for a captivating discussion on the impact of AI/ML on product development, the importance of clear product principles, and what it truly means to build helpful products for a community.

    This conversation originally took place as part of the McKinsey Product Academy speaker series.
    See www.mckinsey.com/privacy-policy for privacy information

    • 27 min
    Gokul Rajaram on product thinking and the future of innovation

    Gokul Rajaram on product thinking and the future of innovation

    In this episode of McKinsey on Building Products, join Rikki Singh as she gets to know the expertise of Gokul Rajaram, a seasoned product leader renowned for his impactful contributions at industry giants such as Facebook and DoorDash. Discover firsthand the strategies he employs, from understanding user needs to formulating effective product strategies.

    This conversation originally took place as part of the McKinsey Product Academy speaker series.
    See www.mckinsey.com/privacy-policy for privacy information

    • 26 min

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