Salary Analysis • December 2024

Remote vs On-Site Tech Salaries: The 2024 Compensation Gap

How location policies affect pay, which companies adjust salaries, and strategies for maximizing remote work compensation

Remote Premium:0-15%
Location Discount:5-25%
Full Remote Jobs:15%
Key Takeaways
  • 1.Most Big Tech companies apply 5-25% location-based pay adjustments for remote workers outside high-cost metros (Levels.fyi)
  • 2.Fully remote companies (GitLab, Automattic, Zapier) typically pay flat rates regardless of location—creating geographic arbitrage opportunities
  • 3.Remote software engineers in low-cost areas can achieve 40-60% higher purchasing power despite nominal salary adjustments
  • 4.15% of tech job postings are now fully remote, down from 20% peak in 2022 but up from 3% pre-pandemic (LinkedIn)
  • 5.Hybrid roles (2-3 days in office) typically pay the same as on-site—the salary impact comes from fully remote positions

The Remote Work Salary Landscape in 2024

Remote work permanently transformed tech compensation. The pandemic proved that distributed teams could be productive, and many workers relocated from expensive metros to lower-cost areas. This created a fundamental question: should remote workers be paid based on the value they create, or the cost of living where they reside?

The answer varies dramatically by company. Some (like GitLab and Automattic) pay location-agnostic salaries based on role and performance. Others (like Google and Meta) apply geographic pay bands that can reduce compensation by 5-25% for workers outside major tech hubs. Understanding these policies is critical for maximizing earning potential.

Senior Engineer Compensation: Bay Area vs Remote (Adjusted)

How location-based pay affects the same role at major tech companies

+18% Bay Area Premium

Bay Area (On-Site/Hybrid)

Higher
350,000

Median Annual Salary

95K
Workers Employed

Austin, TX (Remote - Adjusted)

297,500

Median Annual Salary

52K
Workers Employed
+$52,500 annual difference
10-year earnings gap: $525,000
+25% Bay Area Premium

Bay Area (On-Site/Hybrid)

Higher
350,000

Median Annual Salary

95K
Workers Employed

Raleigh, NC (Remote - Adjusted)

280,000

Median Annual Salary

28K
Workers Employed
+$70,000 annual difference
10-year earnings gap: $700,000

Major Tech Company Remote Pay Policies

Company policies range from fully location-agnostic to aggressive geographic adjustments. Knowing where each company falls on this spectrum is essential before accepting a remote offer or relocating.

Remote Work Policies at Major Tech Companies

CompanyRemote PolicyLocation AdjustmentNotes
Google
Hybrid (3 days)
Yes, 5-25%
Pay cut for moving to lower-cost areas
Meta
Hybrid (3 days)
Yes, 5-20%
Reduced pay for remote outside hubs
Amazon
Office (5 days)
Yes, by location
RTO mandate; location-based bands
Microsoft
Hybrid flexible
Moderate, 0-15%
More flexible than peers
Apple
Hybrid (3 days)
Yes, significant
Strong preference for on-site
GitLab
Fully remote
No adjustment
Location-agnostic pay bands
Automattic
Fully remote
No adjustment
Same pay regardless of location
Stripe
Remote-first
Yes, 5-10%
Modest location adjustments
Coinbase
Remote-first
No adjustment
Location-agnostic since 2020
Shopify
Digital by default
No adjustment
Permanent remote option

Source: Company announcements, Levels.fyi, Glassdoor 2024

How Location-Based Pay Adjustments Work

Companies that adjust pay typically use geographic pay bands tied to metropolitan areas or regions. San Francisco, New York, and Seattle usually represent Tier 1 (100% pay). Secondary tech hubs like Austin, Denver, and Boston might be Tier 2 (90-95%). Smaller metros and rural areas can drop to Tier 3 or 4 (75-85%).

The adjustment formula varies: some companies use cost of labor (what competitors pay locally), others use cost of living indices. Cost of labor adjustments tend to be smaller because tech salaries are relatively flat nationally compared to housing costs.

Typical Geographic Pay Bands (Percentage of Bay Area Rate)

Location TierExample CitiesPay BandCost of Living Index
Tier 1
San Francisco, NYC, Seattle
100%
180-215
Tier 2
Austin, Boston, Denver, LA
90-95%
103-152
Tier 3
Atlanta, Chicago, Dallas, Portland
85-90%
95-115
Tier 4
Phoenix, Tampa, Salt Lake City
80-85%
90-100
Tier 5
Rural areas, small cities
75-80%
80-90

Source: Aggregate company data, BEA Regional Price Parities

Geographic Arbitrage: Maximizing Purchasing Power

Geographic arbitrage—earning a high salary while living in a low-cost area—is the primary financial advantage of remote work. Even with location adjustments, remote workers in affordable areas often achieve higher purchasing power than on-site peers in expensive metros.

Consider a senior engineer earning $350,000 in San Francisco (cost index 188) versus $280,000 in Raleigh (cost index 95). Despite the $70,000 pay cut, the Raleigh engineer has approximately 50% more purchasing power—equivalent to earning $530,000 in San Francisco terms.

+50%
Purchasing Power Gain: Raleigh vs San Francisco
A $280K salary in Raleigh (cost index 95) provides equivalent purchasing power to $530K in San Francisco (cost index 188). Even after a 20% location adjustment, remote workers in affordable areas often come out ahead financially.

Source: BEA Regional Price Parities

Remote Tech Job Postings

2019 to 2024 Projection
+400%
20193%
3%
2024 (Projected)15%
15%
+12%
Projected Growth (+400%)

Remote job postings grew from 3% pre-pandemic to peak of 20% in 2022, stabilizing at 15% in 2024. While down from peak, remote opportunities remain 5x pre-pandemic levels.

Remote vs Hybrid vs On-Site: Compensation Differences

The compensation impact depends heavily on the specific arrangement. Hybrid roles (2-3 days per week in office) typically pay identically to on-site roles—you're still tied to a metro area. The real salary difference emerges with fully remote positions that allow relocation to lower-cost areas.

Fully On-Site

100% in-office requirement. Maximum salary for location but no geographic flexibility. Increasingly rare in software engineering except at Apple and Amazon post-RTO.

Key Skills

Commute toleranceOffice collaborationIn-person networking

Common Jobs

  • Hardware Engineering
  • Lab-based roles
  • Executive positions
Hybrid (2-3 days/week)

Mix of remote and office. Same pay as on-site since you must live near the office. Most common arrangement at Big Tech in 2024. Offers flexibility without location arbitrage.

Key Skills

Async communicationMeeting optimizationHome office setup

Common Jobs

  • Most Big Tech roles
  • Senior positions
  • Team leads
Fully Remote

Work from anywhere. May have location-based pay adjustment or be location-agnostic. Enables geographic arbitrage. Growing but competitive—15% of job postings.

Key Skills

Self-motivationWritten communicationTime zone management

Common Jobs

  • DevOps/SRE
  • Backend engineering
  • Technical writing

Negotiating Remote Compensation

Remote salary negotiations require different strategies than traditional negotiations. The key is understanding whether the company uses location-based bands and, if so, how much flexibility exists within those bands.

Remote Salary Negotiation Tactics

1

Research the company's location policy upfront

Before investing time in interviews, understand whether the company adjusts pay by location. Check Levels.fyi, Glassdoor, and Blind for data points. Ask the recruiter directly: 'Does your compensation vary by location?'

2

Don't reveal your location too early

Some companies will anchor the conversation to your local market rate if you disclose location first. Focus on the role and your qualifications before discussing where you'll work from.

3

Negotiate for a higher-cost location band

If you're borderline between tiers (e.g., you could work from Austin or San Francisco), negotiate to be placed in the higher band. Some companies have flexibility at tier boundaries.

4

Propose a 'headquarters salary' for exceptional candidates

Top candidates can sometimes negotiate HQ-level pay regardless of location. Frame it as: 'I have competing offers at Bay Area rates. Can you match that compensation for a remote arrangement?'

5

Consider the total package, not just base

Remote roles may offer other benefits: no commute costs ($5K-$15K/year value), home office stipend ($1K-$3K), flexible hours. Factor these into your comparison.

6

Get the remote policy in writing

Confirm that your remote status and pay band are documented in your offer letter. Policies can change—having written confirmation provides leverage if the company later mandates RTO.

Best Companies for Remote Pay (No Location Adjustment)

Several companies have committed to location-agnostic pay, offering the same compensation regardless of where employees live. These represent the best opportunities for geographic arbitrage.

Top Companies with Location-Agnostic Remote Pay

CompanyIndustrySenior Engineer TCRemote Policy
GitLab
DevOps/SaaS
$200K-$350K
100% remote since founding, no location adjustment
Automattic
Publishing (WordPress)
$150K-$280K
Fully distributed, location-agnostic
Coinbase
Crypto/Finance
$250K-$450K
Remote-first since 2020
Shopify
E-commerce
$200K-$350K
Digital by default, permanent remote
Zapier
Automation/SaaS
$150K-$250K
100% remote, transparent salaries
Basecamp
Productivity
$140K-$220K
Remote pioneer, location-agnostic
Buffer
Social Media
$130K-$200K
Transparent salaries, no location factor

Source: Company websites, Levels.fyi 2024

Research Methodology

This analysis combines public company policy announcements, crowdsourced compensation data, and federal economic statistics to assess the remote work salary landscape.

Frequently Asked Questions

Continue Your Research

Data Sources and References

Crowdsourced compensation database with 500,000+ verified data points across tech companies

Labor market insights including remote job posting trends

Metropolitan area cost of living indices

Public statements from Google, Meta, GitLab, Coinbase, and others regarding remote work and compensation policies

Taylor Rupe

Taylor Rupe

Full-Stack Developer (B.S. Computer Science, B.A. Psychology)

Taylor combines formal training in computer science with a background in human behavior to evaluate complex search, AI, and data-driven topics. His technical review ensures each article reflects current best practices in semantic search, AI systems, and web technology.