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      Bloomberg

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      Recensioni su Bloomberg

      Account manager - Recensione dipendente - Sales Account Manager presso Bloomberg

      3,0
      4 mar 2025
      Sales account manager
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      Strong brand and reputation in the industry • Competitive benefits and compensation, especially for high performers • Access to excellent resources, data, and technology that help in sales • Opportunity to work with smart and driven colleagues • If you have a supportive manager, career growth can be strong

      Svantaggi

      The company culture has changed, and not always for the better • Management is hit or miss—some are great, while others are micromanagers who make it difficult to succeed • Increasing pressure and unrealistic expectations without proper support • Leadership decisions sometimes feel disconnected from the reality of client-facing roles • High turnover due to poor management in some teams

      Esplora altre recensioni su Bloomberg

      5,0
      30 giu 2026
      Supply chain project manager
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      Great compensation, work life balance

      Svantaggi

      4 days a week on site

      4,0
      28 giu 2026
      Data management professional internship
      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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