You probably want to think about which camp you belong in based on your background, experiences & desires. There are roughly 3 broad categories: AI Experiences PM, AI Builder PM, AI-enhanced PM. Here’s how to think about each category and what it takes to become one.

A. AI Experiences PM

Leveraging existing AI experiences into unique user experiences. This role is all about crafting the right experiences based on AI’s superpowers. Picture an AI Experiences PM for Meta’s Rayban AI glasses or a PM for Oura ring. It is actually easier to become an AI Experiences PM than an AI builder - things are in general more flexible when it comes to getting a job as you have to demonstrate passion / consumer experience more than anything else and you can actually “bring prior experience with you”. You have to be able to have AI awareness and technical influence but no thorough technical background is required.

Common titles you falling into this category might be:

🤖 Ranking PM:

Focuses on products that involve experiences resulting from sorting or ranking data, such as search / search engine results, feeds, or listings.

💡 You'd need: High level understanding of ranking algorithms.

🤖 Recommendations PM:

Manages recommendation engines or systems, suggesting content or products to users. For example a Spotify PM for their AI DJ products.

💡 You'd need: Understanding of recommendation algorithms.

🤖 Responsible AI PM:

This honestly falls under every single AI PM category however some companies do call this out explicitly as a separate role - it ensures that AI experiences are built ethically, with a focus on areas like fairness, transparency, and bias prevention.

💡 You'd need: Knowledge about AI ethics, biases in AI, fairness metrics, transparency, and explainability techniques.

🤖 AI Personalization PM:

Specializes in products that offer personalized user experiences based on AI. Whether it’s matching for a dating app or an automatically generated itinerary for your next trip, this is a very popular category.

💡 You'd need: Insight into user profiling, some experience in personalized experiences.

🤖 AI Analytics PM:

Works on products that provide AI-powered insights, analytics, or visualizations. For example a dashboard of your fitness activity with insights and predictions to help you reach your goals.

💡 You'd need: Understanding of predictive analytics, and data visualization techniques.

🤖 Conversational AI PM:

Manages agents, chatbots, voice assistants, or other conversational interfaces.

💡 You'd need: Grasp of natural language processing (NLP), dialogue systems.

Real job examples that fall in this category:

Meta: Product Manager, AI Solutions and Automation (ASA) - GenAI
Microsoft: Product Manager, AI
Anthropic: Head of Product Engineering (not product per se - but eng manager lead for experiences)
Intuit: Principal Product Manager, Applied AI Innovation
Roblox: Senior Product Manager, Creator Generative AI and Content Understanding

How to Be Considered for This Role:

• Develop AI awareness - understand what AI can and cannot do for us.

• Figure out what you can bring from your previous life with you. If you were in healthcare applying for a fitness AI app, make sure to double down on any experiences you brought to life in the health space while also demonstrating that you understand the potential and limitations of AI.

  

B. AI Builder (this is me!)

Working directly with research science in the AI model lifecycle: model training, evals and deployment. More difficult to get into with no formal technical training / direct relevant experience but it’s becoming more and more possible. The best way to get into this role is at your current company!

Common titles you falling into this category are:

🤖 AI Infra/Platform PM:

Manages the AI infrastructure or platforms that support the development, training, and deployment of AI models. Ensures tools and resources are available for data scientists and developers.

💡 You'd need: Familiarity with AI infrastructure components such as training platforms, GPUs/TPUs, model deployment tools, and data storage solutions.

🤖 Generative AI PM:

Oversees products and identifies use cases that leverage AI to generate content, such as text, images, or music.

💡 You'd need: Deep understanding of generative models like Generative Adversarial Networks (GANs) and the capabilities/limitations of generative models.

🤖 Computer Vision PM:

Focuses on products utilizing computer vision for tasks like image recognition or augmented reality.

💡 You'd need: Knowledge about image processing, object detection, and neural networks tailored for vision tasks.

🤖 AI Security PM:

Manages products that leverage AI for security purposes, such as fraud detection.

💡 You'd need: Familiarity with anomaly detection, pattern recognition, and cybersecurity algorithms.

How to Be Considered for This Role:

• Gain hands-on experience with AI. Don’t be afraid to get your hands dirty. My AI PM Bootcamp’s Capstone project is built just for that.

Real job examples that fall in this category:

Roblox: Principal Product Manager, Foundation AI
Scale AI: Staff AI Product Manager, Generative AI
Adobe: Principal Product Manager, Generative AI Models - Firefly

C. AI-Enhanced PM.

Stay tuned about an updated list of tools I recommend to elevate your PM craft, but what I’d like for you to keep as you’re reading this: 2025 is the year to give yourself time to explore what is our there and which tools work for you.

This week, I am kicking off a new cohort of my AI Product Bootcamp with 200+ people. Join me, enrollments close in a few hours.

If you’re not ready to join, let’s still connect on LinkedIn.