Strong early-career launchpad - Account Manager Bloomberg Employee Review

3.0
18 Sept 2025
Recommend
CEO approval
Business outlook

Pros

- Lots of growth early on - Strong training - Broad exposure to financial markets - Mostly great colleagues - Strong brand name

Cons

- Excessively rigid environment, Lots of banking cosplay. - Not a true "account manager" role. You are more of a customer success rep. Your work involves showing new buttons, fixing Terminal Launchpads, and dealing with client feedback and cancellations. The Relationship Manager is the one that closes business, handles legal, paperwork and negotiations. - Painfully outdated sales tech stack, admin takes ages, the Terminal crashes and freezes regularly. - Prior experience not valued, Bloomberg way or the highway. - Lots of lifers in management positions who are cruising and are deaf to feedback and trends from modern sales organizations. - Too many internal meetings. - Big brother environment. Everything you do or say is scrutinized. Every key stroke is monitored.

Explore other reviews about Bloomberg

5.0
11 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

4.0
28 Jun 2026
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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