Google Layoffs: The wave of layoffs continues at Google. After reports on Monday that the firm has laid off people from its Python team to hire cheap labour, a Tech Crunch report stated that the tech giant has also fired people from Dart, Flutter, and other teams along with Python. The firm cited reorganisation as the primary motive behind these layoffs.


“As we’ve said, we’re responsibly investing in our company’s biggest priorities and the significant opportunities ahead,” a Google spokesperson, Alex García-Kummert, told Tech Crunch.


Google hasn't confirmed the precise number of employees who have been laid off, but action has been taken to enhance efficiency. "To best position us for these opportunities, throughout the second half of 2023 and into 2024, a number of our teams made changes to become more efficient and work better, remove layers, and align their resources to their biggest product priorities," informed Garcia-Kummert. 


He further elaborated that the company is restructuring to provide "employees more opportunity to work on our most innovative and important advances and our biggest company priorities while reducing bureaucracy and layers.”


An X user on Sunday recounted the experiences of employees impacted by the layoffs, noting that the company instructed terminated staff to train their successors at the Munich office. 


The employees affected by the layoffs, primarily from teams focused on programming languages, will be provided comprehensive support in finding alternative roles within or outside the company, as highlighted in the report. It's worth noting that while these teams haven't been entirely disbanded, Google has opted to reduce certain positions within them.


During the initial four months of 2024, the tech giant has implemented multiple layoffs impacting hundreds of employees. CEO Sundar Pichai had forewarned employees that layoffs in 2024 would occur gradually, unlike the mass reduction of 12,000 employees done in the previous year. 


Also Read: Google Layoff 2024 - Firm Fires Entire Python Team, To Employ Cheaper Labour: Report