Blind User Data: OpenAI Software Engineer Median Salary $975,000, Netflix Median $480,000
Anonymous workplace platform Blind released data on the median total compensation for software engineers at tech companies, with OpenAI leading at $975,000.
Netflix's median is $480,000, Meta at $328,839, LinkedIn at $284,100, Google at $269,788, Apple at $269,784, and Uber at $264,650.
This data is based on total compensation (including base salary, bonuses, and equity) anonymously submitted by Blind users, reflecting the current salary distribution in the tech industry, especially for AI-related positions.
OpenAI's compensation is significantly higher than other companies, primarily due to its high equity component (profit-sharing units or restricted stock units), while Netflix relies mainly on cash; Meta, Google, and Apple are in the traditional tech company range.
This ranking shows a clear gap in software engineer salaries between AI labs and traditional tech giants, with OpenAI's median being over twice that of Netflix and about three times that of Meta.
Market Mechanism: Capital is flowing intensively towards AI talent, with high-valuation labs like OpenAI attracting and retaining engineers through substantial equity, creating buyer competition; traditional tech companies face salary pressure due to talent loss risks, while engineers with scarce AI experience benefit from premiums, with application-level and non-AI positions under relative pressure.
Source: Public Information
ABAB AI Insight
OpenAI's early compensation was primarily based on profit-sharing units, and with a significant valuation increase expected in 2025-2026 (post-multiple funding rounds exceeding $100 billion), the equity component has greatly boosted total compensation; Meta previously offered hundreds of millions in retention or poaching packages to some OpenAI researchers in 2025, pushing the overall salary ceiling for AI talent higher. Traditional tech companies like Google and Apple have long relied on stock options and restricted stock units, but their growth rates lag behind those of AI labs.
In terms of capital pathways, OpenAI has directed funds towards talent and computing power through multiple rounds of large-scale financing, with equity incentives becoming a primary competitive tool; venture capital and strategic investors (including Microsoft) continue to inject funds, allowing the company to maintain high salaries without immediate reliance on profitability. The motivation is to secure scarce research and engineering capabilities and prevent talent from flowing to competing labs.
Similar cases include the high salary competition for math and programming talent by quantitative trading firms in the 2000s, and early Google attracting engineers through stock options; currently, AI engineering talent is in a scarce premium phase, with leading labs using capital advantages to widen the salary gap with traditional tech companies.
Essentially, this is about capital concentration. Once significant capital enters AI labs, it translates into equity incentives for a few key engineers, shifting the pricing power in the talent market towards those with cutting-edge model experience; traditional companies face limited salary growth and struggle to match the equity leverage of labs, leading to further concentration of talent towards capital-intensive AI fields.
ABAB News · Cognitive Law
- Equity leverage amplifies compensation; cash compensation is just the floor.
- Scarce capability pricing power rises with capital density.
- The head premium in the talent market far exceeds average growth.