FAANG vs MANGA Salary by Location

When comparing tech compensation between FAANG (US-based) and MANGA (global-based) companies, location plays a critical role in determining total rewards. While FAANG companies—like Meta, Google, Amazon, Apple, and Netflix—are known for competitive salaries, especially in high-cost US hubs, MANGA companies—such as Microsoft, Adobe, Nvidia, SAP, and Accenture—often structure pay differently across global markets. This FAANG vs MANGA salary by location comparison tool helps you estimate how compensation packages might differ based on geography, job level, and company type.

Salary disparities arise from several factors:

• Cost of Living: Locations like San Francisco or New York pay higher base salaries to offset living expenses (ESTIMATE: 20-30% premium over lower-cost cities).
• Local Market Rates: The Bureau of Labor Statistics (BLS) and Levels.fyi show that software engineers in Bangalore or Berlin earn significantly less in absolute terms—often 40-60% of US equivalents—for comparable roles.
• Equity vs. Cash: FAANG companies typically offer higher equity grants (up to 50-60% of total comp for senior roles), while MANGA compensation leans more toward cash bonuses and fixed pay.
• Exchange Rates and Taxes: Currency fluctuations and local tax regimes (e.g., India’s 30% equity tax) further impact net take-home pay. In Germany and Japan, for instance, social contributions can reduce net income by 15-20%.

This calculator draws on ESTIMATES from Levels.fyi (median tech salaries), LinkedIn Talent Insights (global compensation trends), Glassdoor (bonus data), and BLS (location-based cost adjustments). While MANGA companies may offer comparable salaries in global hubs like London or Singapore, FAANG firms often lead in RSU-heavy packages, particularly at senior levels. Use this tool to compare FAANG vs MANGA salary by location and understand how geography impacts your potential earnings.

How It Works

This calculator estimates total annual compensation (base salary, bonus, and equity) adjusted for location. Here’s the process:

1. Input Your Data: Select your company type (FAANG or MANGA), job level, location, and estimated compensation components (base salary, bonus %, and equity value).
2. Adjust for Location: The tool applies a multiplier based on ESTIMATED cost-of-living and market-rate differences. For example, a role in Bangalore will show ~40% of its San Francisco equivalent value, reflecting local salary norms (BLS/Glassdoor benchmarks).
3. Calculate Total Comp: The calculator sums base salary, bonus (as % of base), and annualized equity (assuming 4-year vesting), then applies the location adjustment.
4. View Results: See your ESTIMATED annual compensation broken down by components, with a note on how location impacts the total.

Methodology Note

All numeric outputs are ESTIMATES derived from publicly available data sources:

• Base Salaries: Benchmarked against Levels.fyi median values for each job level/company type (FAANG: L3-L8; MANGA: equivalent). Location adjustments use BLS relative cost indices (e.g., San Francisco = 1.0x, Bangalore = 0.4x).
• Bonuses: ESTIMATED as 5-20% of base (Levels.fyi/Glassdoor ranges). FAANG bonuses skew higher (10-25%) at senior levels, while MANGA bonuses trend lower (5-15%).
• Equity: ESTIMATED as total 4-year value divided by 4. FAANG equity grants are typically 20-60% of total comp for L5+ roles; MANGA grants vary widely but often favor cash bonuses in global markets.
• Location Adjustments: Multipliers reflect relative purchasing power and local salary norms (BLS/LinkedIn Talent Insights). For example, London salaries are ~75% of San Francisco (Glassdoor), while Berlin is ~65% (LinkedIn). Tax and currency effects are not included.

This tool is for comparative purposes only. For precise figures, consult company offers or compensation databases like Levels.fyi.

Frequently Asked Questions