32 guides condensed from the book: the roadmap, salary by country, skills, projects, RAG, agents, evals, resumes, job boards, interviews, and what happens after the offer. No fluff. No paywall.
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What 2,448 job postings reveal about skills, salaries, degrees and experience.
What to learn first. What to build next. How to turn your work into a portfolio, your portfolio into interviews, and interviews into an offer.
Start with the roadmap250 AI terms in plain English, grouped into seven categories. Every term gets a definition and a line on why it matters to a PM, and the 25 interview favorites are marked.
Read the guide101 copy-paste prompts for ChatGPT and Claude, sorted by the stage of product work. Each comes with when to use it and a tip that makes the output better.
Read the guideThe complete sequence for going from zero to your first AI PM role: what to learn, what to build, how long it takes, and how to turn proof into offers.
Read the guideProduct judgment, data fluency, AI literacy, and production thinking: the full 22-skill stack, with an exercise and a portfolio artifact for every skill.
Read the guideFive complete project briefs from the book, each built to prove a different kind of AI product judgment, with scope, evals, build time, and case study structure.
Read the guideThe site structure, platform choice, and case study format that turn your AI projects into proof a hiring manager understands in ninety seconds.
Read the guideThe retrieval pipeline, the product decisions inside it, the eight ways it fails, and how to evaluate it, explained at the level an AI PM needs for work and interviews.
Read the guideThe evaluation loop that separates AI PMs who ship reliable features from PMs who ship demos, with rubrics, datasets, metrics, and a report template.
Read the guideThe agent loop, the autonomy ladder, the control stack, and the metrics that matter, plus how to use agents in your own product work without losing the plot.
Read the guideThe one-page structure, bullet formula, and plain-text test that get an AI PM resume past the ATS and in front of a hiring manager who clicks your portfolio.
Read the guideEvery round of the AI PM loop, the questions each one asks, the answer pattern that works, and worked examples you can adapt for product sense, metrics, and the technical AI round.
Read the guideStop spraying applications. Run your AI PM job search like a product: three buckets, one tracker, referrals that feel natural, and a funnel you can diagnose.
Read the guideFree foundations, one structured certificate if you need it, and live cohorts only when you can use them. Plus the artifact to build after every course.
Read the guideSame foundation, different uncertainty. The seven ways AI changes product work, how adjacent roles compare, and how to make the move from PM or engineering.
Read the guideDegree filters are real, and so is the way around them. What a degree signals, how to replace that signal with visible proof, and a realistic 12-month route.
Read the guideFour phases, twelve months, one deliverable after another: learn the role, deepen AI and data judgment, build five projects, then run a measured job search.
Read the guideLess glamour, more judgment. An illustrative workday from first dashboard to last decision note, with the responsibilities, the documents, and the trade-offs that fill it.
Read the guideML, data, NLP, computer vision, and generative AI product managers do very different work. What each type owns, how to spot it in a job post, and where beginners should start.
Read the guideExposure, ownership, leadership, then company strategy. What each level of the AI PM ladder owns, the proof it demands, and how to earn the next step.
Read the guidePause, read every component, research comparable pay, pick one or two asks, make a calm and specific request, and get everything in writing. With scripts you can copy.
Read the guideThe titles to search, the platforms that actually list product internships, how to spot fake "product" roles, and how to apply so a busy reviewer sees your fit in seconds.
Read the guideA profile that explains your direction in seconds, headline formulas that are honest, and a 30-minute daily routine that turns real project work into visibility.
Read the guideMore than 55 keywords grouped by capability, the evidence that makes each one credible, the sets to use by role type, and the buzzwords that quietly hurt you.
Read the guideWhere AI product roles actually get posted, which boards suit which stage of your career, the title variations to search, and how to avoid stale listings and remote traps.
Read the guideTen AI PM certifications, ranked by the background they suit. Beginners, working PMs, and engineers each get a different first pick, and a project to build with it.
Read the guideTen books for AI product managers, sorted into four stages. Read the map first, then product foundations, then the AI layer, then the technical depth.
Read the guideThe complete AI PM pay picture: averages and ranges in five markets, the level-by-level ladder, why online numbers disagree, and what actually moves your pay.
Read the guideAverage US AI PM pay near $197K, entry base around $130K to $170K, senior total comp $250K to $550K. The full ladder, the best-paying cities, and how packages are built.
Read the guideAverage AI PM pay in India is about ₹28L, most of the market sits between ₹19.5L and ₹42L, and leadership packages cross ₹1 crore. The ladder by level, city, company type, and month.
Read the guideReported UK AI PM pay averages about £62K with a typical range of £47.6K to £80.9K. London averages about £78K, with common ranges of £60K to £100K. What drives the gap, and how to move up.
Read the guideReported AI PM pay in Germany commonly falls between about €69K and €105K, with senior roles higher. Where the jobs are, how Munich and Berlin differ, and what the market values.
Read the guideReported Canadian AI PM pay sits near CA$101K with a typical band of CA$79K to CA$131K. Senior and US-connected roles go higher. How the main cities compare, and how to move up.
Read the guideTry a skill, a topic, or a stage of the journey.
Roadmaps, book lists, and course picks for future AI Product Managers. Swipe through, then open any article in full.
Plain English definitions, plus why each one matters to a PM. Start with the 25 interview favorites below, then keep the full list open for any AI product conversation, interview or PRD review.
Open the AI glossaryOne proven roadmap to AI PM skills, standout projects, a stronger resume, and the job search that gets you hired.
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