Avantages
The brightest spot is, without a doubt, the incredible people. The individual contributors and mid-level engineers are some of the smartest and most collaborative professionals you'll meet. There's a strong sense of camaraderie at the team level, and people are genuinely willing to help each other solve complex problems. It's a shame such great talent is being mismanaged.
Inconvénients
1. Punishing Workload & Unrealistic Expectations: A mandatory long-hour workday is just the starting point. Due to a complete lack of prioritization and chaotic management, the volume of tasks is unsustainable. Consistent, unpaid overtime is not the exception; it's the standard operating procedure to meet arbitrary deadlines. This chronic overwork leads to rapid burnout. 2. Strategic Vacuum & Failed Execution: Senior leadership appears completely disconnected from the realities of software development. There is no clear, executable strategy for our AI products beyond marketing hype. Despite a few years of development, the flagship product is a non-viable "toy" with negligible customer adoption, a direct result of this lack of vision. 3. Toxic Engineering Leadership: New leaders and directors have instilled a culture of fear where dissent is punished and healthy technical debate is stifled. This toxic environment has killed innovation and critical thinking, which are essential for building enterprise-grade software. 4. Existential Business Risk: Leadership is actively considering a plan to close primary development centers and offshore all knowledge to a new India hub these years. This move will cause a catastrophic loss of institutional knowledge and severely degrade our core BI products. Job security for employees outside of India is effectively zero.