Companies dbt Labs

dbt Labs

Philadelphia, Pennsylvania, USA

Total Offices: 4

700 Total Employees

207 Product + Tech Employees

Year Founded: 2016

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dbt Labs Company Culture & Values

Updated on October 23, 2025

This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about dbt Labs and has not been reviewed or approved by dbt Labs.

What's the company culture like at dbt Labs?

Strengths in a human-centered, transparent, and collaborative culture are accompanied by scaling-related strains that include shifting priorities, heavier workloads, and uneven transparency in practice. Together, these dynamics suggest an environment that can be highly supportive and empowering, while individual experience may vary by team and phase of organizational change.

Positive Themes About dbt Labs

People-First Culture: Values like “We are human” and “We work hard and go home,” a remote-first, flexible setup, and benefits (e.g., unlimited PTO, parental leave, wellness and workspace support) emphasize well-being and belonging.
Transparency & Integrity: Pay transparency with open salary ranges and regular internal reviews of compensation and promotions, plus the stated principle “Transparency always wins,” signal an open, equity-minded approach.
Collaborative & Supportive Culture: The environment is described as innovative, inclusive, and mission-driven, with colleagues who care about each other and leadership that invests in growth and autonomy.

Considerations About dbt Labs

Change Fatigue & Ineffective Decision-Making: Rapid scaling, a 2023 layoff, and a 2025 merger announcement are associated with shifting priorities, evolving processes, and occasional leadership “thrash.”
Workload & Burnout: A fast-paced setting with increased deadline pressure and team-dependent work-life balance is noted as a recurring strain in some functions.
Opacity & Integrity Concerns: Maintaining transparency during growth is described as difficult, with mentions of diminishing transparency and uneven clarity across teams.

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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.