Product Manager - Recensione dipendente - Product Manager presso Bloomberg

4,0
15 ott 2017
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

There are too many pros at Bloomberg to name (depending on if you like the same things that I do - Open office plan: get to converse easily with managers, jump on board interesting projects, and provide insight when you overhear conversations where people are confused - Global workforce and global opportunities: Large projects can have you working with people on all 6 inhabited continents, flying there to do business, or transferring to a different country on an exchange program - Technology, Money, and News: Bloomberg is racing other companies to define the future of finance, and the media industry. These are daunting tasks but can be exciting, especially given the companies heft and ability to make waves - Great benefits: Medical, Vacation, etc - Summer Party: Need to experience it to understand

Svantaggi

Bloomberg's work-life balance isn't for all. The lengthy vacation package comes, for many, with hours on end in the office, and a virtual 24 hour "on call" expectation, depending on your role and department.

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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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