Become an AI PM: For SWE, PM, or Tech Lead

A 29-page field manual for moving into AI product management. Not a course. A map.

Most AI PM advice flattens three very different starting points into one generic checklist. That's why it feels useless. This separates them.

Who it's for

• Software engineers who are past the technical bar but keep getting rejected on product craft
• Product managers who need AI judgment, not AI vocabulary
• Tech leads and EMs moving from delivery ownership to outcome ownership

What's inside

• 14 sections, 16 original charts and diagrams
• Real 2026 market data: 12,397 US postings analysed, comp bands by region, seniority split
• A full section on evals, the skill that decides the technical round
• The portfolio project that almost no candidate has built
• Resume rewrites, before and after, per path
• An interview question bank with graded strong and weak answers
• A 90-day plan you can run while employed

What it won't do

No six-week transition promise. Tracked transitions run 8 to 14 months.

No certificate upsell. Roughly 6% of postings ask for one.

No point-estimate salaries. Sources disagree by 50%, so you get ranges and the method behind them.

Included: 30 minutes with me

Add a 1:1 session for $10 with code "INSIDE THE PDF" at checkout. Resume teardown, mock evals round, or project review. 🎯

Umang Chauhan. Product manager in global fashion retail, Tokyo. AI and planning systems across 16+ markets.