Vantaggi
- A small group of people genuinely work hard to make things happen. - Some colleagues are exceptionally intelligent, responsible, and dedicated. - The company has strong client relationships, and the pre-sales team performs well — perhaps too well, given how much gets over-promised.
Svantaggi
- Unfair recognition: if you talk but don’t deliver, you still get credit; if you deliver but stay quiet, you get nothing. People doing vastly different workloads often get paid the same. - Developer quality varies wildly. Some have “15 years of experience” but can’t write basic code. Others spend weeks just setting up their environment. The interview process fails to screen out people who claim to be AI experts but don’t even know how to call an API. - Zero work-life balance. The harder you work, the more you get squeezed. - Extremely high turnover rate, with multiple rage quits and even cases of burnout or health issues. - Grew far too fast without building the necessary internal structure. Management is chaotic. - Most so-called “AI projects” are actually basic automation tasks — yet they’re marketed as advanced AI solutions. - Delivery issues are common: over-promised projects often miss deadlines or seem technically impossible given the current design. - The work environment feels like you’re drowning — just as you catch a breath, you’re pushed back under again. - Poor onboarding and knowledge sharing. Information is mostly shared verbally, leaving new hires lost for weeks while senior staff are too overwhelmed to help. - Developers have little say in decisions. Timelines, requirements, and benchmarks are usually announced after decisions are already made.