The AI Gold Rush: How Product Managers Are Striking It Rich
Netflix is paying up to $900k/year for AI PMs.
Becoming one could be your next career breakthrough.
But most people donβt have a clue about it.
Thatβs why I teamed up with Marily Nika, Ph.D to break everything down for you:
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Out of the 37,915 Product Manager jobs listed on LinkedIn, only 935 are specific to AI PM roles. Thatβs just 2.4%, but these roles are at top companies like TikTok, Google, and Nvidia.
AI PM roles have already surpassed some popular PM specializations, such as Platform PMs (1.3%) and are comparable to Growth PMs (2.7%).
AI PMs not only have more opportunities but also higher earning potential. In fact, AI PMs tend to earn more across all levels, from entry to the highest-paying roles. For instance, Netflix recently posted an AI PM position offering up to $900K.
In short: AI PMs get paid more and are in higher demand.
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There are 3 main types of PMs building with AI:
- Core Product PMs
- Integrate AI into their existing product - Growth Product PMs
- Use AI to optimize product performance - AI PMs
- Manage AI models or lead AI-focused teams
Each PM type interacts with AI differently, but whatβs exciting is how AI can be applied on 3 levels:
- Use AI to enhance an existing feature.
- Develop a new feature made possible by AI.
- Create entirely new AI-driven products.
These combinations lead to nine categories of AI PM work, offering a wide range of specialization opportunities depending on your skills and interests (see infographic).
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As the AI PM landscape evolves, here are the 11 specialized functional AI PM roles:
- AI Infra/Platform PM
β³ Builds and maintains the infrastructure supporting AI models. - Ranking PM
β³ Enhances how data is ranked and sorted. - Generative AI PM
β³ Uses AI to create new content. - Recommendations PM
β³ Oversees systems suggesting content or products based on AI insights. - Responsible AI PM
β³ Ensures AI development is ethical and transparent. - AI Personalization PM
β³ Focuses on creating personalized user experiences. - AI Analytics PM
β³ Manages AI-powered insights and analytics products. - Conversational AI PM
β³ Develops chatbots, voice assistants, and other AI conversational tools. - Computer Vision PM
β³ Works on AI products using visual data like image recognition. - AI Security PM
β³ Enhances security with AI, from fraud detection to threat prevention. - AI Health PM
β³ Manages AI tools in healthcare for diagnostics, patient care, etc.
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If youβre thinking about transitioning into AI Product Management, there are five key differences you need to know β full breakdown in the deep dive.
