Uber

21,000 Total Employees

Year Founded: 2009

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Uber Career Growth & Development

Updated on October 14, 2025

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 career growth & development like at Uber?

Strengths in internal mobility, a growth-focused culture, and abundant training access are accompanied by constraints around promotion timing and non-linear advancement timelines. Together, these dynamics suggest rich development opportunities for proactive employees who can navigate variable pathways and timelines for formal advancement.

Positive Themes About Uber

Internal Mobility: All open roles are posted internally and a Talent Marketplace enables part‑time "Gigs" and short‑term assignments across teams, making moves within the company accessible. Evidence suggests internal transfers are common and employees who change roles often remain longer at the company.
Growth Culture: The "Drive Your Growth" philosophy emphasizes learning by doing, a "climbing wall, not ladder" mindset, and timely feedback and mentorship. The environment highlights continuous learning through stretch assignments, cross-team projects, and career ownership.
Training & Education Access: Employees have access to structured programs such as a comprehensive Machine Learning Education Program and leadership/strategy classes. Additional offerings include live workshops, fireside chats with leaders, and bite-sized learning tools.

Considerations About Uber

Limited Mobility: Promotion eligibility can be constrained by policies such as a typical waiting period for new hires before promotion. Internal moves may depend on business needs and competition for openings.
Unclear Advancement: Growth is explicitly framed as non-linear, where lateral moves and scope expansion often precede title changes. Advancement pace can vary by team and business cycle, creating uncertainty in timelines.

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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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