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 don’t have a clue about it.

That’s why I teamed up with Marily Nika, Ph.D to break everything down for you:

𝗣𝗨𝗧𝗧𝗜𝗡𝗚 𝗧𝗛𝗜𝗡𝗚𝗦 𝗜𝗡𝗧𝗢 𝗣𝗘𝗥𝗦𝗣𝗘𝗖𝗧𝗜𝗩𝗘

Out of the 37,915 Product Manager jobs listed on LinkedIn, only 935 are specific to AI PM roles. That’s 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.

𝗖𝗛𝗔𝗣𝗧𝗘𝗥 𝗢𝗡𝗘: 𝗧𝗛𝗘 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗧𝗬𝗣𝗘𝗦 𝗢𝗙 𝗣𝗠𝗦 𝗗𝗢𝗜𝗡𝗚 𝗔𝗜 𝗪𝗢𝗥𝗞

There are 3 main types of PMs building with AI:

1. Core Product PMs
   - Integrate AI into their existing product
2. Growth Product PMs
   - Use AI to optimize product performance
3. AI PMs
   - Manage AI models or lead AI-focused teams

Each PM type interacts with AI differently, but what’s 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).

𝗖𝗛𝗔𝗣𝗧𝗘𝗥 𝗧𝗪𝗢: 𝗙𝗨𝗡𝗖𝗧𝗜𝗢𝗡𝗔𝗟 𝗖𝗟𝗔𝗦𝗦𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦

As the AI PM landscape evolves, here are the 11 specialized functional AI PM roles:

1. AI Infra/Platform PM
   ↳ Builds and maintains the infrastructure supporting AI models.
2. Ranking PM
   ↳ Enhances how data is ranked and sorted.
3. Generative AI PM
   ↳ Uses AI to create new content.
4. Recommendations PM
   ↳ Oversees systems suggesting content or products based on AI insights.
5. Responsible AI PM
   ↳ Ensures AI development is ethical and transparent.
6. AI Personalization PM
   ↳ Focuses on creating personalized user experiences.
7. AI Analytics PM
   ↳ Manages AI-powered insights and analytics products.
8. Conversational AI PM
   ↳ Develops chatbots, voice assistants, and other AI conversational tools.
9. Computer Vision PM
   ↳ Works on AI products using visual data like image recognition.
10. AI Security PM
    ↳ Enhances security with AI, from fraud detection to threat prevention.
11. AI Health PM
    ↳ Manages AI tools in healthcare for diagnostics, patient care, etc.

𝗖𝗛𝗔𝗣𝗧𝗘𝗥 𝗧𝗛𝗥𝗘𝗘: 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗘𝗗 𝗜𝗡 𝗧𝗥𝗔𝗡𝗦𝗜𝗧𝗜𝗢𝗡𝗜𝗡𝗚?

If you’re thinking about transitioning into AI Product Management, there are five key differences you need to know — full breakdown in the deep dive.