how are they determining who gets laid off and who got laid off?
3 replies (most recent on top)
From what I’ve observed, the impact has extended well beyond just Engineering and Product. Some of the patterns I’ve seen include:
- Higher-cost and long-tenured roles, including VPs, SVPs and those with 20+ years of tenure
- Newer hires
- UX / Technical Writing
- Corporate Support / Developer Services / Cybersecurity / Cloud / Data Science
- PM Excellence / Project / Program Management
- Scrum Masters / Agile Coaches
- Talent Acquisition
- Smaller local teams
Geographically, I’ve seen impact across the US and Europe, followed by APAC. I can’t say these were the actual selection criteria, but based on what I’ve seen, the layoffs appear to extend across different roles, levels and regions.
https://tenor.com/view/lowman-wheel-gif-5102723324221345147
They ask ai to reason and pick duh. Probably ai foundry created a tool for it