Last Tuesday, Twitter ($TWTR) announced (and then confirmed) that it would allow some of its employees to continue working from home even after its offices re-open post-pandemic.
The news came via Twitter CEO Jack Dorsey himself, who sent an email to employees. Jennifer Christie, Twitter's vice president of people, noted to CNN that if an employee is "in a role and situation that enables them to work from home and they want to continue to do so forever, we will make that happen."
Immediately following that announcement, Twitter began tagging new job listings on its careers website with their locations set as "Remote".
On May 11, just 5 jobs included that tag. By the next day, 10 jobs included the "Remote" tag. As of this posting, there are 19 such positions — the highest yet.
The Twitter careers page also now includes "Remote Asia Pacific", "Remote Canada", and "Remote USA" as location choices for people to search out their next potential job.
The number of remote job listings on Twitter's careers site contrasts starkly with overall hiring trends at the company.
Since March, job listings at the social network have plunged from 500 to 118.
It's too soon to see if more remote job listings will be posted at Twitter, but the sudden uptick immediately following the company's new policy does show that it intends to follow through on indefinitely remote work policies. So far, macro job-listing trends have not shown a major move toward remote job listings as of yet.
About the Data:
Thinknum tracks companies using the information they post online - jobs, social and web traffic, product sales, and app ratings - and creates data sets that measure factors like hiring, revenue, and foot traffic. Data sets may not be fully comprehensive (they only account for what is available on the web), but they can be used to gauge performance factors like staffing and sales.
- Twitter is cutting job postings to multi-year lows - even as app engagement grows
- No, remote job listings have not increased
- Apple is on a hiring freeze ... except for its Hardware, Machine Learning and AI teams