Series · Day 090 – 093 · 4 postsResearch

Who is hiring AI PMs

现在公司到底在招什么样的 AI PM
1/4Day 090
"AI PM" is not one job看了 40+ 个 AI PM JD:所谓「AI PM」,其实不是一种工作

After going through 43 public job postings, I stopped sorting by title and sorted by “what this PM is actually responsible for,” ending up with seven kinds: model, platform / harness, evals / safety, applied, vertical, enterprise transformation, and forward-deployed.

2/4Day 091
How technical does an AI PM need to be?AI PM 到底需要多技术?看了 40+ 个 JD 后,我把要求拆成了 4 层

After going through 43 AI product JDs, I broke “technical ability” into four layers: AI literacy, builder fluency, system fluency, and ML / infrastructure depth.

3/4Day 092
Evals, Harness, Forward-Deployed: new kinds of workEvals、Harness、Forward-Deployed:AI 招聘里,正在长出一些以前没有的工作

Among 43 AI product roles, I kept seeing once-rare roles like Evals, Harness and Forward-Deployed: problems someone used to handle “on the side” have become complex enough to need a dedicated owner.

4/4Day 093
Before you try to learn everything传统 PM 想转 AI,先别急着把所有技术补一遍

For a traditional PM moving into AI, don’t start from “what does an AI PM need to know,” a list you’ll never finish. First take stock of your most defensible experience, then pick one AI product layer that amplifies it.