480 QUESTIONS · 12 TOPICS
Practise making the call.
Choose a topic. Take a position before opening the answer, then compare your reasoning with the Weak, Hire and Strong Hire rubric. The first 5 answers in each topic are free.
For worked examples and a study plan, read the AI PM interview overview.
AI Product Sense
Design an AI-first product from a blank prompt: pick the user and the job, test whether the job needs a model at all, name what a wrong answer costs, and shape a first version that can earn trust before it earns autonomy.
Open the questionsAI UX & Human-in-the-Loop
Interfaces for systems that are sometimes wrong: citations, abstention, editable drafts, undo windows, approval gates, autonomy levels and the override rate that tells you whether users trust the product.
Open the questionsAI Strategy, Moats & Pricing
Thin wrapper or durable company, build versus buy versus fine-tune, platform risk from the model providers, seat versus usage versus outcome pricing, and how a product climbs from prompt layer to owned workflow.
Open the questionsLLM & RAG Fundamentals
Tokens, context windows, sampling, embeddings, retrieval, fine-tuning, reasoning models and multimodality, explained at the depth an engineer respects and a CEO can follow.
Open the questionsAI System Design
Whiteboard an AI product end to end: permission-aware retrieval, model gateways and routing, latency budgets, caching, fallbacks, observability, and the migration plan when the model changes underneath you.
Open the questionsAgentic Products
When a workflow should become an agent and when it should not, tool design and permission envelopes, step budgets and loop detection, single versus multi-agent, MCP and A2A, and why reliability compounds against you.
Open the questionsEvals & Launch Decisions
Error analysis on real traces, binary judges validated against humans, golden sets, confidence intervals on a pass rate, regression gates for model swaps, and the launch call on a number like 82 percent.
Open the questionsMetrics & Unit Economics
Cost per successful task rather than cost per token, resolution rate against human fallback cost, caching, batching and routing levers, latency percentiles, gross margin, and the dashboard an AI product actually needs.
Open the questionsSafety, Security & Governance
Prompt injection and the confused deputy, OWASP risks for LLM and agent apps, permission design, privacy and data retention, the EU AI Act timeline after the 2026 Omnibus, US state laws and India's DPDP rules.
Open the questionsAI Platform & Model PM
Product management one layer down: model launches, developer APIs and SDKs, fine-tuning and serving platforms, evaluation infrastructure, rate limits and pricing for developers, and what a model company PM actually owns.
Open the questionsLive Prototyping & AI-Native Workflow
The round where you build in front of the interviewer: scope in five minutes, ship a narrow happy path, add an eval, narrate trade-offs. Plus how a PM uses AI for research synthesis, specs and analysis without losing the evidence trail.
Open the questionsBehavioral & Leadership
Stories about research bets that failed, sales promises the model could not keep, launches you delayed, values conflicts and the culture rounds frontier labs use to reject experienced candidates.
Open the questions