Companies Adthena

Adthena

Austin, Texas, USA

136 Total Employees

Year Founded: 2012

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Adthena Career Growth & Development

Updated on December 02, 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 Adthena?

Strengths in a learning-oriented culture, formal pathways, and signs of internal mobility are accompanied by variability in advancement clarity and the availability of openings across teams and regions. Together, these dynamics suggest solid growth potential with outcomes influenced by local context and how consistently development frameworks are applied.

Positive Themes About Adthena

Growth Culture: The company codifies “Smart & Always Improving” and states that every day is a learning day, signaling continuous improvement as a norm. Feedback suggests a supportive environment with mentorship and AI-focused work that reinforces ongoing learning.
Career Path Clarity: Defined career pathways and bespoke “Sherpa Plans” are described as guides for growth. Materials highlight a formal program (Project Sherpa) that maps roles and progression to make advancement expectations visible.
Internal Mobility: Employee accounts describe moving across roles and into leadership, and the company reports recent promotions and internal transfers. Mentorship and structured development are positioned as enablers for progressing into new responsibilities.

Considerations About Adthena

Unclear Advancement: Accounts note that progression cadence can vary by team, vertical, and geography, making timelines and criteria feel less predictable. Guidance to probe for specifics on enablement, quotas, and growth frameworks suggests visibility may depend on the local org.
Limited Mobility: Observations indicate that internal moves depend on openings and business needs in a mid-sized, scaling company. This can result in uneven opportunities for role changes across functions or regions.

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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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