Steven Data Talk Ep 14: JJ Never Sleeps - From Tesla to Meta: AI, PM Careers, and Building the Biggest PM CommunityDescription

In this insightful episode of Steven Data Talk, host Steven interviews JJ Jajin (JJ Never Sleeps), a successful professional who has navigated the tech world and built one of the largest Product Manager (PM) communities in San Francisco. JJ shares her remarkable journey across Tesla, Wise, LinkedIn, and now Meta as a Product Manager.

Key discussion points include:

Career Trajectory and Decisions: JJ describes her path from Wuhan University and Duke University, influenced by reading Steve Jobs’ biography, which led her to pursue Computer Science and product management. She shares her milestone experience at Tesla, where she learned how big corporations operate.

Core PM Principles: JJ talks about her three guiding principles that remain consistent across tech environments: deep user obsession (referencing her hundreds to thousands of user conversations at LinkedIn), data-driven decision-making (placing more weight on quantitative data), and remaining humble without ego.

The "JJ Never Sleeps" Community: JJ explains how she built a major PM community as a side project, aiming to close the information gap for Chinese students pursuing APM roles in the United States. She highlights challenges such as language barriers, firewall restrictions, and differences in product storytelling.

Details

• Introduction & JJ’s Journey (Wuhan, Duke, Tesla, LinkedIn, Meta)
• Decision to become a Product Manager (Steve Jobs influence)
• Realizing the Information Gap and discovering Tesla at Duke
• Tesla Experience: Learning about Big Corporations and APM Programs
• Early Leadership: Wuhan University Student Union President Experience
• Core Product Manager Principles (Users Obsession, Data-Driven, No Ego)
• Motivation for Building the JJ Never Sleeps Community
• Challenges for International PMs & Community Building Purpose
• AI Impact: Switching to Meta & Basic AI Tools (ChatGPT, Nanobanana)
• Defining AI Native Product Thinking
• Tesla Culture: Result-Oriented Mindset, Flat Organization, and Managing Up
• Designing for Advanced Users vs. Newcomers (AI Personalization)
• Building Personal Brand: Prioritizing Community Quality over Quantity
• Advice for PMs Building a Public Voice (Niche vs. Massive Market)
• Guest Speaking at Harvard, CMU, USC: Differences in Student Questions
• Perspective on AI Replacing Product Managers (Tech vs. Business ROI)
• Future PM Skills: Model Intuition and Storytelling (Practice makes perfect)
• Conclusion: Meaning of "Never Sleeping" and Final Advice (Resilience & Passion)

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