Build real AI product sense & judgment — and prove it in AI PM interviews
AI PM interviews have quietly changed — and many strong PMs are failing them for reasons that have nothing to do with intelligence or experience.
Candidates are no longer evaluated on clean frameworks alone. Interviewers are looking for AI product judgment: how you reason under uncertainty, make tradeoffs, think about failure modes, evaluation, and explain why a decision makes sense in an AI context. Most PMs were never trained to articulate this — even if they already work with AI.
This course exists to close that gap.
You’ll practice real AI product sense, metrics and execution scenarios and get 1-1 coaching from experienced Silicon Valley AI product leaders — it’s about developing judgment and being able to prove it.
If you’ve ever left an interview feeling like “they didn’t quite see how I think,” this lab is designed for you. By the end, you’ll have sharper AI product intuition, a concrete product story you can reference, and the confidence to defend your decisions in high-stakes AI PM interviews.
What you’ll learn
Learn to think, decide, and communicate like an AI PM — turning interviews into proof of real product judgment.
Learn how to reason under uncertainty, imperfect data, and model limitations
Practice tradeoffs across UX, risk, cost, and system behavior
Know when not to use AI and how to explain that confidently
Apply AI-specific product sense frameworks (not generic PM templates)
Answer open-ended questions with clarity, structure, and depth
Show how you think, not just what you know
Receive tailored coaching from experienced AI PM leaders
Identify and fix gaps in your thinking before interviews expose them
Build confidence through real practice and direct feedback
Design evaluation frameworks beyond accuracy and latency
Define success when ground truth is fuzzy or unavailable
Communicate risks, failure modes, and mitigation strategies
Learn directly from Marily
Dr. Marily Nika
AI Product Lead @ Google, ex-Meta, Harvard Business School Fellow
Who this course is for
PMs transitioning into AI roles who want to think and interview like AI-native product leaders.
Senior PMs who work with AI and want to prove their judgment in high-stakes interviews.
Product managers tired of generic AI prep who want interview-ready AI product sense.
What's included
Live sessions
Learn directly from Dr. Marily Nika in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
6 live sessions • 7 lessons
Week 1
Feb
17
Interview Edition Orientation & Metrics Deep dive & Frameworks
Feb
20
PM Interviews at Meta walkthrough
Week 2
Feb
24
AI PM Mock Interviews
Feb
25
Interview Edition: AI Product Sense
Feb
25
Interview Edition: Mock Interview
Feb
27
PM Interviews at Amazon walkthrough
Previous Capstone Project Pitch Day Recordings
Schedule
Live sessions
6 hrs / week
Tue, Feb 17
8:30 PM—9:30 PM (UTC)
Fri, Feb 20
6:00 PM—7:00 PM (UTC)
Tue, Feb 24
6:00 PM—7:00 PM (UTC)
Projects
1-5 hrs / week