AI Product Prioritization Frameworks

AI product managers often face ambiguity in prioritizing features due to the evolving nature of AI. Understanding how to apply product prioritization frameworks helps PMs make informed decisions, balancing innovation and business needs. A structured approach improves focus, ensuring teams work on the most impactful areas while adapting to change.

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Marily Nika

Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | TED AI Speaker | 40u40

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Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader & one of the world's best AI educators, with 12+ years of experience at Google & Meta, with a PhD in Machine Learning. Featured in TechCrunch, executive Fellow at Harvard, TED AI Presenter.

Marily created the first (and best) AI Product Management Certification on Maven. Marily is also a keynote speaker (TED AI / 3 x TEDx) and has been recognized for her contributions in AI & tech several times: Amplitude most influencial product leader, medal of Outstanding Achievement, WISE Influence Award, 2020's Top 100 Women in tech, Emerging Leader Award, 2021's 40 under 40 list.

Marily is also an Executive Fellow at Harvard Business School where she teaches AI Product Management.

She has taught over 8k students on Maven and offers these courses:

✉️ hello@aiproduct.com

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