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      Horrible place to work - Senior Product Designer Bloomberg Employee Review

      1.0
      Apr 18, 2025
      Senior product designer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Name brand, good pay, but overall not worth the lack of work life balance and terrible people you will encounter

      Cons

      absolutely no work life balance, coworkers have the personality of robots, pretty soulless culture, fake backstabbing, software engineers can say no to anything, UX has no power and NO SEAT AT THE TABLE, you will be doing whatever product management tells you to do. Almost all Product Managers do not know how to product manage, come from sales, and thus you will have to be your product manager on top of your design responsibilities. Most managers are micro-managers even the "so-called good ones." Backwards product org filled with dinosaurs. Don't waste your time.

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      5.0
      Jul 16, 2026
      Acounts manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great benefits and people are very supportive

      Cons

      Flat hierarchical structure is tough sometimes to crack

      4.0
      Jun 28, 2026
      Data management professional internship
      Recommend
      CEO approval
      Business Outlook

      Pros

      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.

      Cons

      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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