Coursera

London, England
1,300 Total Employees
Year Founded: 2012

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Coursera Career Growth & Development

Updated on November 04, 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 Coursera?

Strengths in internal mobility, rich training access, and leadership development are accompanied by limited transparency around formal promotion policies and clearly codified advancement frameworks. Together, these dynamics suggest abundant learning-led growth opportunities, while employees may need to seek direct guidance to navigate promotion mechanics.
Positive Themes About Coursera
  • Internal Mobility: Internal job postings, a career lattice approach, and support for lateral moves are emphasized to help employees explore new paths and advance. An example of an employee moving from sales into a data science unit after upskilling on the platform illustrates practical internal transitions.
  • Training & Education Access: Access to thousands of courses, professional certificates, and Career Learning Paths on the platform is made available to employees. These resources are positioned to build both technical and soft skills that underpin career progression.
  • Leadership Development: Leadership Academy offerings, mentorship programs, and coaching are highlighted to develop leaders from within. Managers are encouraged to discuss career goals and support personalized development plans.
Considerations About Coursera
  • Opaque Promotions: Explicit, formal promotion policies and internal promotion metrics are not detailed publicly. References note the absence of a clearly published promote-from-within policy or data that quantify promotion rates.
  • Unclear Advancement: Specific internal promotion programs are not described in detail, relying instead on general internal mobility principles. Advancement pathways are discussed broadly rather than with concrete, codified frameworks.
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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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