Companies Beautiful.ai

Beautiful.ai

San Francisco, California, USA

57 Total Employees

Year Founded: 2016

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Beautiful.ai Compensation & Benefits

Updated on October 24, 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.

How are the compensation & benefits at Beautiful.ai?

Strengths in healthcare depth, broad time-off options, and equity participation are accompanied by challenges in incentive reliability for sales, practical PTO usage, and dependent coverage costs. Together, these dynamics suggest an overall solid total rewards offering with role-dependent variability and some affordability and utilization caveats.

Positive Themes About Beautiful.ai

Healthcare Strength: Healthcare is characterized as excellent and comprehensive, spanning medical, dental, vision, life, disability, wellness, and mental health programs. Feedback suggests the breadth of coverage meaningfully enhances perceived total rewards.
Leave & Time Off Breadth: Paid time off is described as generous, including flexible vacation, holidays, sick time, bereavement leave, and paid volunteer time. This scope of time-off options supports work–life balance across different needs.
Equity Value & Accessibility: Compensation includes equity alongside competitive salaries and retirement support. Feedback suggests equity participation adds meaningful value to total compensation.

Considerations About Beautiful.ai

Weak & Unreliable Incentives: Variable earnings in sales are described as hard to realize due to low quota attainment in some segments. This makes incentive pay less predictable and can depress realized compensation versus targets.
Limited Leave & Time Off: Unlimited PTO is described as challenging in practice, with extended time off sometimes drawing negative reactions. Usage appears dependent on team norms, reducing the intended flexibility for some.
High Benefits Costs: Dependent health coverage is only partially subsidized. This can increase out-of-pocket costs for families and reduce benefits affordability.

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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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