If you want to succeed in any career, perhaps you should become a ninja. For instance, Shutterstock is looking for a “problem-solving ninja.” If you can “navigate Manhattan like a ninja!” then a job as a service technician for Farmer’s Fridge might be in your future. And PF Chang’s is looking for an “experienced food ninja.”
If being a ninja isn’t your style, you can be a guru–over 800 job postings at Indeed.com, in the NYC area contain that word in the description.
It’s all ridiculous. The Atlantic gave a good description of the cutesy and crazy world of job postings. In the battle for good candidates, companies want to show that their jobs are better, their company is more interesting, and working in this job will transform your job into a career. It’s like every job application is an audition for American Idol–if you win, you too can be a rock star.
To keep reading, click here: Why Job Postings for Satisfactory Performers at Okay Companies Should Be the New Normal
“…the best programmers are not the ones who create the most beautifully-elegant, exceedingly-innovative code. The true rockstars can deliver software before deadlines, under budget, and that does exactly what the business needs. And those are the type we should all strive to be.”
https://thedailywtf.com/articles/Programming-Sucks!-Or-At-Least,-It-Ought-To-
And remember, to hire the best, you have to pay the best.
I’m pretty sure American Idol contestants have to be 30 years old and under to audition. Some of these job postings seem to be looking to attract a younger applicant. My younger self might be attracted to job looking for a ninja, but my “seasoned” self, not so much!!
Teenage Mutant Ninjas? 😉
Thanks for this. Last time I was offered to be a “ninja” consultant I felt really awkward. It sounded ridiculous and made me think that they thought that people on IT were eternal teenagers. XD
Thanks for noting this tendency to be specific and for the commenters noting that those companies better be prepared to pay for this “super candidate”. But the main point you brought was the fact that a majority of probably good candidates are eliminated from even being considered. That’s what happens when AI is used to filter applications.