Break Into AI PM With a Prototype Portfolio
Build a foundation, then ship prototypes that pre-answer the hiring manager's core questions.
- Difficulty
- Moderate
- Time to result
- ~months to results
- Steps
- 4
- Confidence
- 90%
A concrete path to landing an AI PM role without an ML degree: build a foundational understanding of AI, let curiosity drive you to master modern prototyping tools, and turn the output into a portfolio of built products. Because every hiring process is really trying to answer three questions — can this person do the job, are they excited to do it, do I like working with them — a portfolio pre-answers the first two before the interview even starts.
Origin
Aman Khan's advice, drawn from his own non-traditional path (mechanical engineering background, no CS or ML degree) and his experience on the hiring side for AI PMs.
Core principles
- 01There is no college degree for AI product management — you stand out by demonstrated interest and a built skill stack
- 02Foundation plus applied curiosity are the two dimensions of the skill level
- 03It is easier to break in now than before because tools let non-ML people build real experiences
- 04A portfolio shortcuts the interview by showing how you think and how you spend your time
How to run it
- 1
Build the AI/ML foundation
Learn what machine learning and AI actually are and where their boundaries lie. Use free resources like Andrej Karpathy's foundational LLM video; you can even feed long content into NotebookLM to get a synced, digestible version.
Pro tip You only need to be able to describe what the technology can do — not hold a PhD.
- 2
Let curiosity drive tool mastery
Pick the industry and problems that genuinely interest you and use AI tools to push the boundaries of what's possible. Learn to build with tools like Cursor, Replit, and v0, and to storyboard ideas with image tools like Midjourney or DALL-E.
Pro tip Curiosity is the engine — being the person who says 'did you see this new thing?' is itself part of the role.
- 3
Turn output into a portfolio
Assemble the prototypes you build — even rough ones where the buttons work and it's wired up enough to tell a story — into a portfolio you show hiring managers.
Pro tip Ship them into the world, not just onto your laptop; visible artifacts demonstrate initiative.
Watch out If you're applying for an AI PM role with zero built products, you'll have a hard time standing out.
- 4
Let the portfolio pre-answer the hiring questions
Recognize the interview is designed to answer three things — can you do the job, are you excited, do people like working with you. A portfolio answers the first two before you talk, so you mainly have to nail the phone interview and match the culture.
Pro tip You're shortcutting parts one and two of a process built to test whether you can do the core work.
In the wild
To convince a skeptical friend who 'didn't have time to learn another tool,' Khan opened Replit as a URL on his phone, prompted the Replit agent to build a newsletter signup page, and it built and hosted it in seconds. He then re-prompted it — 'make it look a little bit nicer, use these colors' — and within five minutes had a working prototype.
→ A functional hosted prototype built from a phone in minutes — the kind of artifact that would not have been possible a year earlier and that anchors a portfolio.
Common mistakes
Believing you need deep ML credentials first
Waiting until you have a PhD or years of ML theory before applying is now backwards — modern tools let you demonstrate capability through built experiences, and over-indexing on credentials delays entry.
Applying with no built products
Without a portfolio, the hiring manager has no evidence you can do the job or that you're genuinely excited, forcing you to prove both from scratch in interviews where most candidates look alike.
Is it for you?
Best for
Career-switchers and generalist PMs without an ML background who want to land an AI PM role
Not ideal for
Established AI PMs who already have shipped AI products and a track record to point to
From the transcript
“the hiring process is really designed to understand sort of three things about a person and that's can this person do the job I'm hiring…”
“you have this portfolio of products who actually answering both of those questions for the hiring manager even before they talk to you”
“you could start with building your skilled stack and you know starting with the foundation up let your curiosity drive you and then turn that…”
“I actually think it's it's probably easier now to break into AI product management than it was before”
From the episode
Becoming an AI PM
Aman Khan (Arize AI, ex-Spotify, Apple, Cruise)