Companies Code Red Partners

Code Red Partners

San Francisco, California, USA

22 Total Employees

Year Founded: 2017

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Code Red Partners Company Culture & Values

Updated on February 25, 2026

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 the company culture like at Code Red Partners?

Strengths in mission alignment, relationship orientation, and boutique agility are accompanied by pressure dynamics tied to performance, commissions, and competitive account ownership. Together, these dynamics suggest a values-forward environment where the day-to-day experience may depend heavily on clarity of incentives and perceived fairness within a small, founder-led setting.

Positive Themes About Code Red Partners

People-First Culture: A boutique, relationship-first approach is emphasized, with ongoing support for clients and candidates rather than transactional placements.
Authentic & Consistent Values: A mission-led focus on bridging the cybersecurity talent gap and supporting a tight-knit security community is repeatedly highlighted as a core identity.
Adaptability & Agility: A small, specialist team is portrayed as fast-moving and flexible, including remote-friendly norms and quick decision cycles typical of lean boutiques.

Considerations About Code Red Partners

High-Pressure & Micromanaging Culture: Strong performance expectations and commission-driven intensity are described as shaping day-to-day dynamics and heightening internal competition.
Favoritism & Inequity: Perceived favoritism and uneven access to accounts or recognition are raised as risks that can materially affect fairness and morale.
Opacity & Integrity Concerns: Clarity issues around pay, OTE, and commission alignment are cited as a friction point that can undermine trust in how contributions are rewarded.

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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 They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers.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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