Sales and support - Recensione dipendente - Dipendente anonimo presso Flexential

Excellent exposure to large-scale data center infrastructure, automation, and hybrid IT environments, making this a great place to build or deepen technical expertise. Leadership continues to invest in modernization, standardization, and process improvement, showing a long-term commitment to growth and operational excellence.

Work can be fast-paced and demanding during major projects or incidents, which comes with the territory of critical infrastructure. Some processes are still evolving as systems and regions continue to be aligned — though this is clearly improving over time.

Flexibility with work life balance Really talented and fun coworkers. Direct upper management great with helping pursue your goals and gathering everyone together to make your job feel like you are in fact a part of a team. This made work enjoyable even when aggravated by other things.

Compensation and recognition don't match performance. Despite consistent 5-star reviews and going above-and-beyond (taking on extra projects beyond my pay grade), raises were minimal (e.g., 0.9% after a strong first year) and promotions were seemingly gifted on favoritism over performance. Higher leadership (SVPs/L1s) showed limited follow-through on innovative internal projects—e.g., we built data solutions that outperformed enterprise third-party solutions, but they were shelved with only vague "good job" responses and no real investment. L1 attempted to enforce a new corporate policy of flexwork on people living nearly 75 miles away from the nearest corporate satellite office to show. My employment contract did not state I needed to be hybrid yet they enforced it on me even when I didn't have a car and my nearest team member was 3 states over. Policy was dropped after 6 or so months. As a PE-owned company, resources seem heavily directed toward infrastructure expansion (new data centers) rather than employee rewards or reinvestment in existing systems. This leads to frustration when teams outperform but see little financial upside. DCIM and data infrastructure feel under-resourced—limited data engineers, poor visibility into key datasets, infrequent health checks, and surveillance gaps create risks for outages and long-term reliability.