Companies HeyGen

HeyGen

Los Angeles, California, USA

Year Founded: 2022

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HeyGen Career Growth & Development

Updated on November 05, 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 HeyGen?

Strengths in advancement opportunities, internal mobility, and challenging assignments are accompanied by limited public clarity on promotion pathways and internal L&D programs. Together, these dynamics suggest a high-growth environment conducive to learning and scope expansion, with candidates needing to validate how formal development and advancement operate on specific teams.

Positive Themes About HeyGen

Advancement Opportunities: Job postings and career pages highlight “opportunities for professional growth and advancement” amid rapid expansion, inviting candidates to “level-up your career.” Feedback suggests the scaling environment creates room for progression as new roles and projects emerge.
Internal Mobility: A talent leader describes employees moving into different areas within about six months due to many opportunities available. Feedback suggests employees can explore role changes across functions as the company grows.
Challenging Assignments: The fast-growing, cutting-edge AI video domain is described as creating numerous opportunities to take on new challenges and evolving projects. Feedback suggests employees work on impactful, innovative problems that expand skills.

Considerations About HeyGen

Unclear Advancement: There is no explicit mention of a formal “promotion from within” policy, and specific examples or detailed internal promotion policies were not found. Feedback suggests advancement pathways are implied rather than clearly codified.
Lack of Learning & Training: Direct details on internal employee learning programs are not extensively detailed in public materials. Feedback suggests structured internal L&D offerings are unclear despite extensive external-facing education resources.

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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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