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CLEAR

HQ
New York, New York, USA
Total Offices: 3
2,251 Total Employees
Year Founded: 2010

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CLEAR Career Growth & Development

Updated on March 02, 2026

This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about CLEAR and has not been reviewed or approved by CLEAR.

What's career growth & development like at CLEAR?

Strengths in internal mobility, cross-functional exposure, and challenging work are accompanied by concerns about how consistently advancement is defined and executed. Together, these dynamics suggest growth can be strong for proactive individuals in the right teams, but outcomes may depend heavily on manager and location due to limited transparency and uneven development structure.
Positive Themes About CLEAR
  • Internal Mobility: Internal movement is positioned as a core part of how people develop, with encouragement to move throughout the organization. Progression from frontline roles into leadership and some corporate positions is described as a common pathway.
  • Challenging Assignments: Work is described as stretching, especially where it intersects identity, biometrics, security, and real-world operations. Those assignments can help build durable skills through complex, high-stakes execution.
  • Cross-Functional Experience: Cross-functional projects and exposure across teams are presented as accessible ways to broaden scope. Hands-on work across operations and tech-adjacent areas is portrayed as a practical learning lever.
Considerations About CLEAR
  • Unclear Advancement: Advancement paths and promotion expectations are often portrayed as inconsistent, with limited clarity on timelines or criteria. Growth outcomes are described as varying significantly by role, team, and location.
  • Opaque Promotions: Promotion decisions are depicted as sometimes influenced by favoritism rather than transparent, repeatable standards. This can make progression feel less predictable and harder to navigate.
  • Lack of Learning & Training: Structured learning infrastructure is not consistently visible, with limited detail available on formal programs, mentorship, or training pathways. Development can therefore rely more on role-driven stretch work than on standardized enablement.
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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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