Overview
The AI product manager interview, answered. Eleven volumes cover AI PM fundamentals and product thinking, metrics and success definition for AI products, strategy and roadmapping, stakeholder management, responsible AI, data strategy, technical literacy for working with ML teams, product sense and design, evaluation and experimentation, AI economics, and full scenario-based interview rounds. Every answer is written in the first person, the way a strong PM candidate would say it, and many carry a diagram.
What you will learn
- Decide when a problem needs AI and when it does not
- Define success metrics and guardrails for an AI product
- Build a credible AI roadmap and defend it to stakeholders
- Work fluently with ML teams on data, models and evaluation
- Run experiments and read results for AI features
- Reason about AI unit economics and business trade-offs
- Handle responsible AI and ethics questions from a PM seat
- Perform in full scenario-based PM interview rounds
Included with the kit
- 48 written parts, yours for good
- 19h 53m of reading, measured not estimated
- Written for the intermediate level
- Every future revision included
- UPI, cards and netbanking
Prerequisites
- Product management experience, or a clear path into a PM role
- No coding needed; technical concepts are explained at a PM's depth
Curriculum
11 sections · 48 parts · 19h 53m01Volume 1: AI PM Fundamentals & Product Thinking4 parts · 70 min
- Problem Identification & When to Use AI14 min
- AI Product Design & User Experience15 min
- Metrics, Risk & Decision Making19 min
- Roadmap, Strategy & Communication22 min
02Volume 2: Metrics & Success Definition for AI Products4 parts · 75 min
- Defining the Right Metrics17 min
- Measurement Quality & Validity17 min
- Investigating Metric Anomalies18 min
- Applied Measurement Decisions23 min
03Volume 3: AI Product Strategy & Roadmapping5 parts · 84 min
- Model, Data & Technology Strategy15 min
- Market & Competitive Strategy15 min
- Roadmap Planning & Prioritization23 min
- Growth, Partnerships & Critical Decisions25 min
- Competing Without a Data Advantage6 min
04Volume 4: Stakeholder Management & Communication4 parts · 89 min
- Executive & Board Communication20 min
- Cross-Team Conflicts & Internal Alignment23 min
- Enterprise Customer & External Stakeholders21 min
- Risk, Crisis & Sensitive Situations25 min
05Volume 5: Responsible AI & Ethics (PM Lens)4 parts · 93 min
- Bias, Fairness & Equity21 min
- Transparency, Privacy & Data Ethics22 min
- Safety, Harm & High-Stakes Domains25 min
- Policy, Governance & Organizational Ethics25 min
06Volume 6: Data Strategy for AI Products4 parts · 97 min
- Data Collection, Quality & Diversity22 min
- Flywheel, Feedback & Competitive Moats23 min
- Privacy, Governance & Compliance26 min
- Enterprise Architecture & Data Operations26 min
07Volume 7: Technical Literacy & Working with ML Teams6 parts · 176 min
- ML Concepts & Architecture Decisions27 min
- PM-ML Collaboration & Development29 min
- Production, Infrastructure & Evaluation25 min
- Communication, Governance & Scale25 min
- Planning Under Uncertainty & Technical Decisions33 min
- Alignment, Readiness & ML Team Operations37 min
08Volume 8: AI Product Sense & Product Design4 parts · 109 min
- Consumer & Communication Products25 min
- Professional & Enterprise Tools29 min
- Education, Health & Social Impact26 min
- Developer, Creator & Expert Tools29 min
09Volume 9: AI Evaluation & Experimentation4 parts · 113 min
- Evaluation Framework & Planning26 min
- A/B Testing, Experimentation & Comparison27 min
- Quality Measurement Methods29 min
- Safety, Fairness & Production Monitoring31 min
10Volume 10: AI Economics & Business Decisions4 parts · 87 min
- Unit Economics & Cost Optimization19 min
- Investment Analysis & Business Cases20 min
- Pricing Strategy & Market Design24 min
- Enterprise Deals, Partnerships & Competitive Moat24 min
11Volume 11: Scenario-Based PM Interview Rounds5 parts · 200 min
- Product Design & Launch Scenarios46 min
- Strategy & Competitive Scenarios46 min
- Metrics, Failure & Recovery Scenarios47 min
- Stakeholder, Ethics & Edge Case Scenarios49 min
- Product-Market Fit & Use-Case Ethics Scenarios12 min
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