Companies DataSite

DataSite

Minneapolis, Minnesota, USA

Total Offices: 4

821 Total Employees

Year Founded: 1968

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What It's Like to Work at DataSite

Updated on February 06, 2026

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's it like to work at DataSite?

Strengths in team support, career growth, and a strong market position are accompanied by challenges around compensation, management consistency, and workload intensity. Together, these dynamics suggest a mixed employer reputation where outcomes depend heavily on role, team, and tolerance for a fast-paced environment.

Positive Themes About DataSite

Team Support: Teams are described as collaborative, with strong cross-department support and good teamwork. Management in several areas is portrayed as supportive and receptive to constructive input.
Career Growth: Opportunities to grow, be promoted, and build new skills are highlighted across functions. Structured programs, stretch assignments, and internal mobility are mentioned.
Market Position & Stability: The company operates as a leading M&A/deal-tech SaaS platform with ongoing investment and acquisitions. This positioning creates meaningful, mission-critical work with prominent customers.

Considerations About DataSite

Low Compensation: Pay and total compensation are portrayed as weak, with concerns about equity and overall packages. This remains a recurring pain point relative to other aspects of the experience.
Weak Management: There is a disconnect between upper leadership and employees, with calls for better leadership training and stronger conflict management. Instances of toxic behaviors and perceived favoritism are also noted in some areas.
Workload & Burnout: Work cadence is characterized as extremely fast, and some roles involve very long days. These conditions can pressure work-life balance despite pockets of flexibility.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.

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