Pros
The company heavily markets itself as an “AI-focused” organization, but there is little genuine expertise in artificial intelligence or data engineering across senior leadership. Few leaders have hands-on technical backgrounds, yet they routinely position themselves as experts in AI and machine learning. This creates unrealistic expectations internally and misleading narratives externally. The so-called “AI initiatives” are typically driven by junior engineers or recent graduates who are rebranded as AI developers overnight. Most projects involve short-lived prototypes built under excessive pressure, often abandoned before any meaningful progress is achieved. The lack of experienced technical leadership results in poor design, limited scalability, and constant rework. There is no clear product roadmap, architectural vision, or engineering standard. Priorities shift weekly based on marketing trends rather than business or technical rationale. Decision-making is reactive, and accountability is pushed down when projects inevitably fail. The work culture mirrors this instability—low trust, limited transparency, and continuous firefighting. Long hours and burnout are common, while recognition and career growth remain minimal. Constructive feedback is often dismissed as negativity, further eroding morale and engagement.
Cons
No Cons Just a advice below for the management below.