Pros
People are smart Goals are clear Plenty of Development Opportunities
Cons
The most concerning issue is the normalization of unpaid overtime. As the company pushes AI features to clients, internal teams are expected to test and validate these features outside normal working hours. This is framed as going “beyond expectations,” but in practice it becomes the baseline. Working late is not exceptional — it is implicitly required. Those who regularly sacrifice evenings and weekends are praised; those who set boundaries are quietly sidelined. This culture is not accidental. It is explicitly encouraged by team leaders and executives. There is strong messaging around “ownership” and “high performance,” but no proportional adjustment in compensation or staffing. The result is sustained overwork without adequate reward. Compensation does not reflect the demands placed on employees. Pay levels are significantly below market for comparable roles, and benefits are minimal: statutory-level pension contributions (around 3%) and 25 days of leave with no carryover flexibility. For the workload expected, the package is uncompetitive. The company promotes a strong feedback culture. In reality, feedback mechanisms often feel performative. Superficial changes are sometimes introduced to signal responsiveness, but structural issues — workload, resourcing, unrealistic timelines — remain unchanged. There is also a clear gap between stated values and lived experience. While autonomy and trust are frequently emphasized, day-to-day management involves close oversight and limited real decision-making authority. Micromanagement is common despite rhetoric about independence. Turnover is high, and burnout is visible. Strong performers leave, workload is redistributed to those who remain, and the cycle continues. The company would need to fundamentally rethink workload expectations, align compensation with market standards, and move from symbolic cultural messaging to genuine structural change.
