You spend more time at your job than anywhere else. Hosts Rebecca Greenfield and Sam Grobart take a close look at the way we live our lives at work -- our frustrations, dilemmas, habits, and anything else that happens in the office.
Job-hunting is a horrible process that no one much likes, except perhaps the headhunters. Applying for a job can feel as if you're sending a message in a bottle into a black hole. Even if your application makes its way to a human being, it might warrant just a five-second glimpse. The tiniest detail (or a spilled cup of coffee) can disqualify you entirely. The view from the other side isn't much better. Hiring managers say that many applications are garbage and employers are having a hard time finding the right people. (Thanks to Shutterstock's Matt Jagoda, Jobvite's Rachel Bitte, Simple's Michelle Broderick and Lever's Jennifer Kim for tales from a hiring manager.)
It's a broken system that Kieran Snyder, this week's guest, is trying to fix. A linguist by training, Snyder runs Textio, a company that uses machine learning to create better job listings for companies. Snyder talks about common mistakes employers are making, and how a few tweaks to a job listing can result in better and more diverse hires.