Collaborative environment, bad politics - Recensione dipendente - Product Manager presso Bloomberg

4,0
2 ott 2025
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Collaboration is high both vertically and horizontally. Work life balance is good, but a lot has to do with your manager. If you have strong domain knowledgeable and can be considered an "expert" in a specific field, you will have a great life in this company. Knowing the internal system does help massively, as your knowledge is hard to replace

Svantaggi

Politics, a lot of "vibe" decision making that is done on some manager' s perception without data to support. Promotions and pay are a grey process. Lots of legacy technology and lack of documentation. Recently more growth focus, but as revenues are growing, salaries are not. No equity

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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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