Why Your Job Title Is Meaningless | Ben Zweig, CEO at Revelio Labs

You could use AI to apply to, you know, 1,000 jobs a minute. There's, uh, a little over 5 billion job postings that we've scraped to date, about 90 million active at any moment.

It's often really hard to find the right job just for you. At the same time, hiring good candidates is also incredibly tricky. Jobs have a dirty data problem where job titles are often meaningless. It's difficult to know what other people do all day at work. What even is a senior data evangelist? Consulting firms.

Are now hiring lots and lots of AI engineers and very few entry-level consultants. That is a huge shift. There are approximately zero companies that use ONET for their internal taxonomy.

Today's guest is Ben Zweig, the CEO at workforce intelligence platform Revelio Labs. Ben cut his teeth as a data scientist trying to do people analytics at IBM before realizing his models wouldn't work due to bad data. His response was to found Revelio, and he's just written a book called Job Architecture about how data can help almost every aspect of work.

I think a lot of Bayesian statistics is very difficult to use AI for. I really do think that we could see a world where labor markets are as sophisticated as capital markets, and that's a very exciting world.

I love it when data makes things better. Let's find out how.