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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 and execution scenarios, get 1-1 coaching from experienced Silicon Valley AI product leaders, and receive 1-1 engineering support to take an idea from concept to a working product. This isn’t about slides or theory — 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
Work 1-1 with engineering support from idea to working product
Use your product as concrete proof in interviews
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 through the second week of the course.
Course syllabus
21 live sessions • 7 lessons
Week 1
Jan
9
[AI PM Bootcamp Capstone] Capstone Project Walkthrough and Kick-off
Week 2
Jan
14
Interview Edition: Case Scenarios
Jan
12
Interview Edition Orientation - Metric Deepdive & Frameworks
Jan
15
PM Interviews at Meta walkthrough
Previous Capstone Project Pitch Day Recordings
Jan
15
Optional: AI PM Mock Interview
Jan
16
Optional: AI PM Mock Interview
Schedule
Live sessions
6 hrs / week
Fri, Jan 9
6:00 PM—7:00 PM (UTC)
Wed, Jan 14
6:00 PM—8:00 PM (UTC)
Mon, Jan 12
6:00 PM—7:00 PM (UTC)
Projects
1-5 hrs / week
$999
USD
7 hours left to enroll