- Start with YouTube
- Dive into newsletters
- Get onto Twitter (AKA X)
- And Update LinkedIn Follows
You want to build up your brain's AI neural networks.
Step Two: Take Relevant Courses
Courses are like hiring a trainer at the gym.
They give you structure + accountability.
The goal is to be able to get all the terms and technical stuff down with training wheels.
Step Three: Gain Hands-On Experience
All AI product management job descriptions ask for prior hands-on AI PM experience.
The most effective way to impress hiring managers is to launch an AI product that users pay for.
Use Cursor to build an app and Stripe for payments.
Step Four: Build Your Portfolio
Create a structured portfolio that showcases your PM experience along with your AI product(s).
This will demonstrate and illustrate the impact of that real world experience.
And since it's not a full-time experience, you need more than a resume.
Step Five: Network
Build relationships using:
- Social media
- Virtual communities
- Meet-ups & conferences
You'd be surprised how these can actually land you a coveted spot at the AI table.
Step Six: Snag Interviews
You need to:
- Target the right companies & role
- Craft your AI PM Brand
- Leverage your network
- Be persistent & creative
Don't just drop a million versions of your generic resume.
Step Seven: Ace the Homework and Interview
- Nail the homework (focus on user, balance technical & business aspects, be concise)
- Master key interview skills (eg: product sense, analytical skills)
- Demonstrate unique value
Sealing the deal in this market will require many reps.
The path is not easy. It's hard.
Understand what's missing from your profile and double down on those steps to get the right opportunity.
One of the secrets to make better product decisions:
"If it isn’t a clear yes, then it’s a clear no."
Prioritization is one of the most important skills in product management. There are always more ideas than resources, more problems than solutions, more features than benefits.
How do you decide what to work on next?
There are many frameworks and tools for prioritization, such as RICE, MoSCoW, Kano model, etc. But they all boil down to one simple principle: if it isn't a clear yes, then it's a clear no.
What does this mean?
It means that you should only work on things that have a strong positive impact on your product goals and metrics, and that are aligned with your product vision and strategy. Anything else is a distraction, a waste of time and energy, or worse, a source of confusion and frustration for your users and stakeholders.
How do you know if something is a clear yes?
You need to have clear criteria for evaluating your ideas and opportunities. You need to have data and evidence to support your assumptions and hypotheses. You need to have feedback and validation from your users and customers. You need to have alignment and buy-in from your team and organization.
If you don't have these things, then you don't have a clear yes. You have a maybe, a possibly, a hopefully. And those are not good enough for making product decisions.
"Don't Make Me Think" is one of the most underrated & ignored growth levers.
It's not "just" a UX concept.
It's an investment program - that's about minimizing cognitive load for users and prioritizing UX from a first-principles.
But how do you implement it?
I broke it down with Director of Product Growth at @Houzz Kunal Thadani.
There are 5 key principles:
Key Principle 1 - Solve the Core Problem, Not the Symptom
Sometimes, solving the core problem means doing less, not more. Remember Dropbox's legendary MVP? It wasn't even a product. Just a video. Overnight, 75K people signed up.