FAANG vs MANGA Equity by Location
Compare FAANG vs MANGA equity grants by location with ESTIMATES using Levels.fyi and BLS data. See how equity scales across SF, NYC, Seattle, Bangalore, and more.
Understanding equity compensation across global tech hubs is critical for engineers, product managers, and other tech professionals comparing job offers from FAANG (Facebook/Meta, Amazon, Apple, Netflix, Google) and MANGA (Microsoft, Apple, NVIDIA, Google, Amazon — overlapping with FAANG but often grouped separately for compensation analysis) companies. While base salaries are relatively standardized across locations, equity grants vary significantly by geography, role level, and company policy.
The FAANG vs MANGA equity by location comparison tool provides an estimated breakdown of how equity packages might differ when normalized for key variables. For example, a Senior Software Engineer (L5) at a FAANG company in the San Francisco Bay Area might receive an equity grant ranging from $100,000 to $200,000 annually (ESTIMATE), while the same role in Austin, TX, could see 10-20% less, based on public benchmarks from Levels.fyi and Bureau of Labor Statistics regional wage data. Meanwhile, MANGA companies may offer 10-15% lower equity on average for equivalent roles, though this gap narrows at senior levels (L6+).
Location plays a pivotal role in equity adjustment. Tech hubs like Seattle and New York often provide 80-90% of the Bay Area’s equity benchmarks, while emerging markets such as Bangalore or Berlin can drop to 50-60% due to lower cost-of-living adjustments and varying local compensation philosophies. This tool helps you normalize equity offers by applying multipliers derived from public salary surveys, LinkedIn Talent Insights, and Glassdoor compensation trends from 2022-2024.
Enter your base equity grant (or a benchmark estimate) to see how it might scale across different locations. The tool accounts for role level adjustments — for instance, Staff Engineers (L6) typically receive 30% more equity than Senior Engineers (L5), while L7+ roles can see grants 70% higher. Results are presented as estimates with clear methodology notes, as exact figures depend on negotiation, vesting schedules, and individual performance.
For professionals evaluating remote or relocation offers, this comparison is invaluable. A $150,000 equity grant in SF may effectively be $105,000 in Bangalore after location adjustment, while the same grant in Seattle could retain 85% of its value. Use these insights to inform your career decisions, whether negotiating offers, planning relocations, or assessing long-term wealth-building opportunities across FAANG and MANGA employers.
How It Works
This calculator applies location-specific multipliers to a base equity grant to estimate how compensation might vary between FAANG and MANGA companies across global tech hubs. Here’s the step-by-step breakdown:
- Base Equity Input: Start with an equity grant value (in USD) for a benchmark role (e.g., Senior Engineer/L5 in the San Francisco Bay Area). This could be an offer you received or a typical range from Levels.fyi (ESTIMATE).
- Company Group Adjustment: FAANG companies are assigned a multiplier of 1 (benchmark), while MANGA companies use 0.85, reflecting a 10-15% lower equity trend observed in public compensation benchmarks (ESTIMATE).
- Location Scaling: Each location applies a multiplier to adjust the equity grant. For example, Seattle uses 0.85 of the Bay Area benchmark, while Bangalore uses 0.6. These values are derived from regional wage differentials reported by the Bureau of Labor Statistics, LinkedIn Talent Insights, and Levels.fyi’s city-specific compensation data (ESTIMATE).
- Role Level Adjustment: Higher role levels (L6+) receive higher equity benchmarks. An L6 Staff Engineer might see a 30% increase over L5, while L7+ could see 70%. These adjustments are based on internal compensation band structures reported in public salary surveys (ESTIMATE).
- Final Calculation: The base equity is multiplied by the company, location, and role level adjustments to produce a final estimated equity grant in USD.
Methodology Note
All numeric outputs are ESTIMATES based on aggregated public data and should not be interpreted as precise or guaranteed values. Sources include:
- Levels.fyi: Crowdsourced compensation data for FAANG/MANGA companies, analyzed for location-specific equity trends (2022-2024).
- Bureau of Labor Statistics (BLS): Occupational Employment and Wage Statistics (OEWS) program, providing regional wage differentials for tech roles.
- LinkedIn Talent Insights: Anonymized compensation benchmarks for software engineers across global locations.
- Glassdoor: Company-specific equity ranges, though often less granular for location adjustments.
Equity grants vary by vesting schedule, negotiation, tenure, and performance, among other factors. This tool simplifies complex compensation structures into actionable estimates but should be supplemented with direct offer comparisons or professional compensation analysis where precise figures are required.
Frequently Asked Questions
FAANG and MANGA companies often follow distinct compensation philosophies, even for overlapping companies (e.g., Apple, Google, Amazon). FAANG companies typically emphasize higher equity grants (especially in the Bay Area) to attract top talent in competitive markets. MANGA companies may prioritize base salary or other benefits, leading to 10-15% lower equity estimates for equivalent roles, based on public benchmarks. Performance bonuses, sign-on grants, and vesting schedules can also influence these differences.
The location multipliers are ESTIMATES derived from public salary surveys and regional wage data. For example, Seattle’s 0.85 multiplier reflects that tech roles there earn ~85% of Bay Area compensation on average, according to BLS and Levels.fyi. Bangalore’s 0.6 multiplier accounts for cost-of-living adjustments and local market rates. These values are simplified and may not capture individual negotiation outcomes or company-specific policies.
No. This calculator provides gross equity grant estimates in USD and does not factor in taxes, vesting schedules (e.g., 4-year cliffs), or RSU liquidity events. Taxes vary significantly by location — for example, equity earnings are taxed as income in the U.S. but may face different treatments in countries like Germany or India. Consult a financial advisor or use a tax-specific calculator for net estimates.
Public benchmarks suggest MANGA companies offer 10-25% lower equity than FAANG counterparts for equivalent roles, though this gap narrows for senior positions (L6+). For example, a Senior Engineer (L5) at Microsoft might receive $85,000-$130,000 in equity vs. $100,000-$150,000 at Google (ESTIMATE). NVIDIA, however, often competes closely with FAANG for equity, especially for AI/ML roles, due to aggressive hiring demands. Always compare individual offers where possible.
The San Francisco Bay Area serves as the benchmark (multiplier = 1) due to its status as the epicenter of Big Tech compensation. High costs of living, intense talent competition, and investor expectations drive FAANG companies to offer premium equity packages. Roles in secondary hubs like Seattle or Austin are adjusted downward by 10-20% to reflect lower cost-of-living and market saturation (ESTIMATE). International locations see even steeper adjustments due to currency, tax, and local market differences.
Yes, but with caution. Remote roles may follow the headquarters’ equity benchmarks or adjust based on your hiring entity’s location. For example, a remote role hired by a Bay Area team might use the San Francisco multiplier, while a local entity in Austin could apply the Texas adjustment. Companies like GitLab or Automattic often standardize equity globally, while others tailor it to individual circumstances. Always clarify the hiring entity’s location when evaluating remote offers.
This tool focuses on public FAANG/MANGA companies with transparent compensation data. Private companies vary widely in equity generosity and have less public benchmarking. For example, Stripe or Databricks may offer competitive equity for senior hires but could lag behind public companies for mid-level roles. Private company equity also carries higher liquidity risk (e.g., IPO timing, secondary markets). Use Levels.fyi’s private company data or blind forums for anecdotal comparisons.
Absolutely. Equity is just one component of total compensation. We recommend pairing this tool with others on Big Tech Salary, such as:
- FAANG vs MANGA Total Compensation Calculator: Compares base, bonus, and equity across locations.
- Big Tech Salary Explorer: Interactive city-specific salary benchmarks for FAANG/MANGA roles.
- Equity Vesting Schedule Simulator: Models how RSUs vest over time (1-year cliff, quarterly).
Master Your Big Tech Compensation Strategy
Equity is just one piece of the compensation puzzle. Download our free Big Tech Salary Negotiation Playbook to learn how to evaluate, compare, and negotiate offers across FAANG and MANGA companies — including scripts for counteroffers, vesting schedule analysis, and long-term wealth-building tips.
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