Breat place to work - Infrastructure Engineer Prosper.com Employee Review

5.0
Aug 11, 2025
Recommend
CEO approval
Business Outlook

Pros

Great management Great benefits Flexible

Cons

DEI is the forefront, which may have affected competence but definitely has created language barriers Little room for growth There was a layoff when the economy slowed

Explore other reviews about Prosper.com

5.0
Apr 27, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

I have truly enjoyed my time at Prosper. It is a company that offers genuine opportunities to learn, grow, and take on new challenges within your role. I absolutely love my team, my manager, and find the work itself deeply fulfilling. One of the standouts for me is the leadership. Having come from a previous company where leadership was hesitant to make difficult choices, which led to multiple rounds of layoffs, I have a massive appreciation for how Prosper’s leadership operates. They are willing to make short-term, sometimes unpopular decisions because they prioritize the long-term safety and stability of all employees. It is a huge relief to work for a financially stable organization where I can see myself building a long-term career. Prosper is also one of the most diverse companies I have been a part of. From my perspective, the compensation is very competitive compared to other industry ranges I have seen, and the benefits offerings meet my needs.

Cons

While the leadership makes the right calls for long-term stability, the resulting tough decisions can sometimes be difficult to navigate in the moment, the transparency behind the decisions is super helpful.

1
1.0
Jul 14, 2026
Recommend
CEO approval
Business Outlook

Pros

Nice office, not far from public transportation.

Cons

The directors and managers lack of technical skills to justify what needs to be prioritized. Give incentives to people who stayed in the company for a long time to take advantages to build useless features. The Machine Learning team building features no body used. For example, they spent months reinventing the logistic regression that produces F1 score with 0.4 value. They took a complex problem to make it more complicated instead of simplifying it.

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