『Product Voices』のカバーアート

Product Voices

Product Voices

著者: Product Voices hosted by JJ Rorie
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People who work in product management are on a constant learning journey. Markets are dynamic. Customer needs are transient. Technologies evolve. The ways in which we work changes. We must learn and adapt along the way. Product Voices is a forum to share practical, real-world stories about how to learn and grow in important areas in product management. Learn from the best voices in product management.

© 2025 Product Voices
マーケティング マーケティング・セールス 経済学
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  • Beyond Features: How AI is Redefining the Product Manager’s Role
    2025/11/11

    In this insightful episode of Product Voices, JJ Rorie talks with Gopikrishnan Anilkumar, Principal Product Manager at Amazon and member of the Forbes Technology Council, about how artificial intelligence is transforming the craft of product management.

    Gopikrishnan shares his journey from traditional software product management to leading AI-driven teams at major companies like Amazon, Walmart, and Goldman Sachs. Together, JJ and Gopikrishnan explore what remains constant in great product management—customer empathy, communication, structured thinking, and stakeholder alignment—and what’s changing fast as AI becomes central to how products are built, learned from, and improved.

    Listeners will learn how AI product managers differ from traditional ones, not because they code or build models, but because they design experiences that learn and evolve. Gopikrishnan explains how metrics shift (from satisfaction and revenue to latency, model performance, and hallucination rates), how teams expand to include machine learning scientists and evaluators, and why “being AI-aware” is now an essential product skill.

    Topics Covered:

    • The evolution from traditional to AI product management
    • Why PM fundamentals—empathy, communication, alignment—never go out of style
    • How AI changes metrics, responsibility, and stakeholder complexity
    • Designing for trust, safety, and explainability in AI experiences
    • The mindset shift from building features to architecting experiences
    • The experimental nature of AI product work (build, test, learn, repeat)
    • Why you don’t need to be a machine learning expert to be an AI PM
    • How every PM will soon interact with AI in some form
    • Advice for PMs transitioning into AI and for new PMs entering the field

    Key Quotes:

    “AI product managers are not building a feature. You are building experiences — you’re an experience architect.”

    “Being AI-aware will soon be one of the key strengths of a product manager.”

    “You don’t need to be a machine learning expert. You need curiosity, learning agility, and strong PM fundamentals.”


    Takeaways:

    • Trust and responsibility are the new pillars of AI-driven product management.
    • Product management is evolving from control to influence — guiding systems that learn and adapt.
    • Continuous experimentation and iteration are essential in AI environments.
    • AI literacy is becoming as foundational as digital or mobile literacy once was.
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    30 分
  • Breaking into Product Management: Lessons from a Non-Traditional Journey
    2025/01/08

    In this episode of Product Voices, Vinod Thomas, a product manager at Google, discusses his non-traditional journey into product management. He emphasizes the importance of transferable skills such as communication, collaboration, and data analytics, while debunking the myth that coding is essential for the role. Vinod highlights the value of networking and building genuine professional relationships as key to career advancement. He offers advice for aspiring product managers to understand the role deeply and connect their unique backgrounds to product management. His insights provide a roadmap for successfully transitioning into this field.

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    30 分
  • Cultural Intelligence and Its Role in Shaping Product Strategy
    2024/12/12

    On this episode, Dr. Chui Chui Tan dives into the critical importance of culturalization in product management. She explains that culturalization involves deep adaptation to local cultural nuances, behaviors, and mentalities, requiring continuous adjustment.

    Dr. Tan outlines three levels of culturalization and emphasizes the need for strategic research to uncover unmet needs and cultural sensitivities, rather than just tactical questions.

    She also highlights the importance of immersing in local markets, avoiding stereotypes, and using a balanced approach to gather insights. She advises starting with small steps and leveraging existing data to build a foundation for successful culturalization.

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    50 分
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