Executive leadership mentality is completely out of touch with its employees, how they work, and what they do.
Leadership has wasted billions of dollars in poorly conceived acquisitions and policies that have mostly been reversed at huge losses.
A regressive RTO policy requires at least 3 days in one of 2 identified office locations in the US for almost every role (including IT), despite a proven ability to work seamlessly for years using our online collaboration tools.
An RTO policy that is really about massive office closures and forced, unpaid relocation to new arbitrary locations, with no job guarantees after you move.
Ageism was actually voiced in a recent townhall, where executives complained about the workforce being too old and not matching the age of our customers.
I question how AT&T will keep the lights on in its myriad of complex systems, applications, and processes with what will remain of its staff after the office closures/forced relocations that will impact about one-third of the company.
I know peers living in a target location that are still looking for opportunities due to being forced into a cube three days a week.
If our Board cares about this company and its results, it's time to send the CEO, who was part of disastrous acquisitions, record low stock performance, and (currently) decimation of the employee base, packing.
Note that my ratings reflect AT&T in its new reality; they would have been much higher several months ago.
Group interview with three members of technical staff. Final interview with hiring manager. Mostly general questions about previous projects and experience with specific tech stack. No coding questions. Mostly soft questions.
You are given a take-home Jupyter notebook for the data analyst interview. It is scored, then you are asked questions to code on the spot, which are usually adjustments to the notebook.
Quick and easy 2-step interview with basic questions about the role. Friendly managers and an easy-going interview process. I highly recommend working here. You will love the environment and friendly coworkers.
Group interview with three members of technical staff. Final interview with hiring manager. Mostly general questions about previous projects and experience with specific tech stack. No coding questions. Mostly soft questions.
You are given a take-home Jupyter notebook for the data analyst interview. It is scored, then you are asked questions to code on the spot, which are usually adjustments to the notebook.
Quick and easy 2-step interview with basic questions about the role. Friendly managers and an easy-going interview process. I highly recommend working here. You will love the environment and friendly coworkers.