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Becoming an AI Product Manager without a technical AI background
Building a career as an AI Product Manager doesn’t require a formal background in AI—you just need the right mindset, strategic tools, and storytelling prowess. In this session, you’ll learn how product leaders transition into AI-focused roles by understanding what separates successful AI PMs from generalists: how to build cross-functional credibility, spot high-impact AI use cases, and weave strategy into technical conversations—even without a machine learning degree. Leading the session is Jiahong X., a Wharton MBA and current Meta product leader steering generative AI in advertising, with prior product roles at Google. Drawing from experience interviewing over 300 candidates and helping 50+ land roles at FAANG and beyond, Jiahong brings real-world frameworks, clarity on how to shift into AI PM roles, and actionable next steps—so you can strategically plan your path and begin making an impact in the AI space.
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Becoming an AI Product Manager without a Technical AI background
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How to Land a Job as an AI Product Manager
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How to Land a Job as an AI Product Manager
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Staying Competitive as a Product Manager in the AI Era
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The AI Skillset That Gives PM Candidates an Edge
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AI Product Manager Resumes: Best Practices, Myths, and Realities
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Building real world products with genAI
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AI in Product Interviews: What to Expect and How to Prep
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AMA with Former AI Product at Amazon and RBC
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