Jerk Culture - werkgeversreview Senior Product Manager bij Bloomberg

2,0
2 apr 2019
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Amazing buildings, smart people, global reach, great added benefits, and philanthropic investment.

Minpunten

Real lack of trust at all levels and a jerk culture that's rewarded from the top. No learning/fail-fast mindset, get ready to be yelled at and called a 'f*#$ing idiot' if something in your area is going in the wrong direction and for your manager to take credit when things are going well. No diversity at the top, probably due to the lack of flexibility. People not treated like human beings (e.g. team that doesn't say hi or bye, useless meeting culture where meetings mean you're always busy a.k.a. important). Incentives do not drive collaboration or supportive teams - very siloed and hard to move things forward. All that said, culture can vary a lot by department or even team (e.g. data, eng, etc), so do your research.

Ontdek andere reviews over Bloomberg

5,0
8 jul 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

good pay, great team, lots of experience gained

Minpunten

mundane tasks sometimes, can be competitive

4,0
28 jun 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

Minpunten

Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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