
How To Use ‘Good Jobs’ To Create A Great Company, with Dan Teran
And the future of worker classification
Oct 7, 2020 · 2 min readUpdated May 21, 2026
We use analytics and advertising tools by default. You can update this anytime.

And the future of worker classification
Oct 7, 2020 · 2 min readUpdated May 21, 2026
We have a very special guest on Means of Creation this week: Dan Teran, founder & former CEO of Managed by Q!
Managed by Q is an office management platform founded in 2014 that provides all sorts of services to corporations, including IT support, supply inventory management, cleaning and equipment repair. They were purchased by WeWork for $220 million in April 2019.
What does an office management platform have to do with the passion economy, you may ask? It’s a great question, and the answer gets at one of the subtle but important aspects of the passion economy that most people overlook. The passion economy isn’t just about creators making content on the internet — it’s about a broader shift to de-commodified labor. And that’s exactly what Dan did with Managed by Q.
Dan’s original inspiration for Managed by Q was, in part, the “Good Jobs” framework, which argues that any job — including those typically thought of as low-paying, bad jobs — can be designed for individual autonomy and creativity. The strategy was popularized by Zeynep Ton and the thesis is simple: treat and pay your employees well, and it will end up costing less than if you paid them less. This leads to higher profits, and all stakeholders (managers, employees, investors, customers) will be better off because of it.
In this interview, we talked to Dan about:
We held this conversation live on Friday, October 9th. You can listen to the podcast here or watch the YouTube video here. Enjoy!
The essential toolkit for those shaping the future
"This might be the best value you
can get from an AI subscription."
- Jay S.
Join 100,000+ leaders, builders, and innovators

Already have an account? Sign in.
Daily insights from AI pioneers + early access to powerful AI tools
Comments
Don't have an account? Sign up!