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FAANG vs MANGA Salary by Experience

Compare FAANG vs MANGA salary by experience. Estimate compensation ranges for software engineers, PMs, and designers using Levels.fyi and BLS data.

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The FAANG vs MANGA salary by experience comparison helps professionals understand how compensation packages evolve as they gain experience at top-tier tech companies. FAANG (Meta, Apple, Amazon, Netflix, Google) and MANGA (Microsoft, Apple, NVIDIA, Google, Amazon, Tesla, Adobe) represent two dominant groups in Big Tech, each with distinct compensation structures.

Compensation in these companies typically includes a base salary, annual bonuses, and equity (RSUs or stock options). While FAANG companies are often perceived as offering higher compensation due to aggressive growth strategies, MANGA firms—especially those like NVIDIA and Tesla—have closed the gap significantly in recent years, particularly for mid-to-senior roles.

This tool estimates salary ranges based on years of experience, using aggregated data from Levels.fyi, Bureau of Labor Statistics (BLS), LinkedIn Talent Insights, and Glassdoor. For example:

  • **Entry-level (0-2 years):** FAANG companies often offer total compensation (base + bonus) in the $150K-$220K range, while MANGA firms typically range from $130K-$190K.
  • **Mid-career (4-6 years):** FAANG compensation may reach $250K-$400K, including equity, whereas MANGA firms might offer $220K-$350K.
  • **Senior-level (8+ years):** FAANG total compensation can exceed $500K, including equity, while MANGA firms may offer $400K-$700K for top talent.

These ranges are ESTIMATES and can vary widely based on role (e.g., software engineer vs. product manager), location (e.g., Bay Area vs. Austin), and market conditions. The tool provides a generalized comparison to help users gauge how experience impacts compensation between these two prominent tech groups.

How It Works

This calculator estimates compensation for FAANG and MANGA companies based on three inputs: years of experience, company group (FAANG or MANGA), and role type. The tool applies multipliers to adjust base compensation estimates, derived from public salary data sources.

1. **Experience:** Compensation scales non-linearly with experience. The calculator applies a progressive multiplier to reflect this trend.
2. **Company Group:** FAANG companies tend to offer higher equity percentages, while MANGA firms may provide slightly lower base salaries but competitive equity packages, especially in high-demand roles.
3. **Role Type:** Salaries vary significantly by role, with software engineers typically earning more than UX designers at similar experience levels.

Bonuses and equity are calculated as percentages of the adjusted base salary, based on industry averages.

Methodology Note

All data presented in this tool are ESTIMATES and should not be interpreted as precise figures. The calculations are based on the following sources:

  • Levels.fyi: Primary source for compensation data, including base salary, bonuses, and equity for FAANG and MANGA companies. Data is crowdsourced and aggregated from thousands of submissions.
  • Bureau of Labor Statistics (BLS): Provides macro-level salary trends for tech roles in the U.S., used to validate broader compensation patterns.
  • LinkedIn Talent Insights and Glassdoor: Supplement data for regional variations and role-specific trends.

The tool applies generalized multipliers to these data sources to estimate compensation ranges. Individual compensation may differ due to factors such as company performance, geographic location, negotiation skills, and specific role demands. Equity values are approximated and can fluctuate significantly based on vesting schedules and market conditions.

Frequently Asked Questions

How accurate are these salary estimates?
The estimates are based on aggregated data from Levels.fyi, BLS, and LinkedIn Talent Insights. While they reflect general trends, individual compensation can vary significantly. Always consult specific company offers for precise figures.
Why are MANGA salaries sometimes higher than FAANG for certain roles?
MANGA companies, particularly NVIDIA and Tesla, have seen rapid growth in high-demand areas like AI and electric vehicles, leading to competitive compensation packages. FAANG companies, while historically high-paying, may have more standardized compensation structures.
Does this tool account for geographic differences?
No, this tool provides generalized estimates without adjusting for location. Salaries in high-cost areas (e.g., San Francisco) are typically higher than in lower-cost regions (e.g., Austin).
How does equity factor into these estimates?
Equity is estimated as a percentage of the adjusted base salary, based on industry averages. However, equity values are highly variable and depend on vesting schedules, company performance, and market conditions. The tool provides a rough approximation.
Can I use this tool to compare compensation for non-engineering roles?
Yes, the tool includes options for software engineers, data scientists, product managers, and UX designers. However, data for non-engineering roles is less comprehensive and may be less accurate.
Why does the calculator show a range instead of exact numbers?
Compensation varies widely based on experience, role, company, and individual performance. The tool provides estimates based on ranges to reflect this variability.
How often is the underlying data updated?
The methodology relies on public data sources like Levels.fyi and BLS, which update periodically. The calculator applies multipliers to reflect current trends, but it does not pull real-time data.
Can I compare specific companies (e.g., Google vs. Microsoft)?
This tool compares groups (FAANG vs. MANGA) rather than individual companies. For company-specific comparisons, refer to Levels.fyi or Glassdoor.
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