A good place to start your career, terrible career growth - Recensione dipendente - Account Manager presso Bloomberg

2,0
1 apr 2022
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

-Looks great on a resume

Svantaggi

-You will be micro-managed -- you're boss knows if you've been away from your desk for more than 15 mins. Team leaders roles are just to micro manage -There is no career growth -There is no diversity at management levels. Entry level teams are diverse, but there are few women/POC in management roles. -Sales is an adult frat house. That is the culture Bloomberg promotes -The pay is terrible. You will be gaslight my HR/management when asking about raises/comp. In most cases, if you change roles within the company HR does not provide details about salary changes -TLDR, when I decided to leave the company I got 4 competiting offers all doubling my Bloomberg salary

Esplora altre recensioni su Bloomberg

5,0
22 apr 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great culture, benefits, pay, and work-life balance

Svantaggi

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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