Google & Meta Jobs Analysis - Complete 90-Day Report

📊 Data Overview & Methodology

Dataset: Complete analysis of 12,083 deduplicated job postings from Google and Meta across 90+ days.

Data Source: LinkedIn job postings from 39 dated tables in jobs_data_ai_dated
Complete Period: May 31 - August 29, 2025 (90+ days of comprehensive data)
Peak Hiring: Week of June 30, 2025 (1,347 jobs - Google 1,263, Meta 84)
Company Split: Google 8,258 US jobs (88%) • Meta 1,178 US jobs (12%)
Salary Coverage: 99.8% of jobs have salary data (avg: $220,567)
Geographic Scope: 9,448 US jobs (78%) • 2,635 international (22%)

Key Finding: Declining hiring trend from June peak through August, with Google maintaining 7x higher volume than Meta.

When Did Google and Meta Hire Most Aggressively?

Weekly hiring patterns reveal peak timing and strategic differences

Google (8,258 US jobs)

Meta (1,178 US jobs)

Peak hiring occurred June 30th with 1,347 jobs (Google 1,263, Meta 84). Google averaged 625 jobs/week vs Meta's 84 jobs/week. Meta's volatility is extreme: 37x variation (5-187 jobs) vs Google's 2.7x variation (462-1,263 jobs). August shows 28% decline from June peak.

12,083

Total Jobs

$221K

Average Salary

88%

Google Share

1,347

Peak Week

53%

Bay Area

46%

Engineering

How Does Google's Hiring Volume Compare to Meta's?

Total job postings reveal market positioning strategies

Google hired 8,258 US jobs vs Meta's 1,178 jobs - a 7:1 ratio. Google's average salary is $224,503 vs Meta's $213,509. Google's higher volume at higher pay suggests aggressive talent acquisition for market expansion.

What Salary Ranges Dominate Tech Hiring?

Compensation bands reveal talent market dynamics

4,150 jobs (44%) pay $200K-$249K, making this the standard tech salary. Only 639 jobs (6%) pay under $150K. Combined with 68% paying $200K+, this shows both companies target experienced professionals exclusively, abandoning entry-level recruitment.

Work Arrangements

Return to office dominance

94% onsite requirement across 90 days proves remote work flexibility is dead at these companies. Only 5% remote positions show the collaboration-first culture has won decisively.

US Geographic Distribution

Bay Area super-concentration

53% Bay Area concentration is unprecedented, even for tech. This extreme clustering around AI/ML infrastructure and talent pools signals the innovation economy is becoming geographically hyper-concentrated.

Job Functions

Technical roles dominate

64% pure technical roles (46% engineering + 18% technical non-eng) shows both companies are becoming engineering-first organizations. Business functions are secondary to technical execution capability.

Bay Area Cities

Mountain View & Sunnyvale tied

Mountain View and Sunnyvale each have 22% of Bay Area jobs, creating a duopoly. The 44% concentration in just two cities shows extreme talent clustering around company headquarters.

Which Google Products Are Hiring Most Aggressively?

Product division investment priorities across Google's portfolio

Google Cloud leads with 3,084 jobs (37% of Google hiring), followed by AI/ML at 2,100 jobs (25%). Combined, these future-growth areas represent 5,184 jobs (62%). Legacy products get minimal investment: YouTube 616 jobs (7%), Search 274 jobs (3%). This 62% vs 10% split shows Google's strategic pivot.

How Concentrated Is Meta's Hiring Strategy?

Product area distribution shows strategic focus vs diversification

Reality Labs gets 608 jobs (52% of Meta hiring), while remaining 570 jobs (48%) split across 7 other areas. Infrastructure (84 jobs, 7%) and Data Science (86 jobs, 7%) are the largest support functions. Meta maintains operational diversity while prioritizing VR-AR future.

Salary Bands Treemap

Visual hierarchy of compensation

The massive $200K-$249K rectangle dominates the visual space, confirming this as the new baseline for big tech compensation. Premium salaries ($300K+) are substantial but not dominant.

Job Functions Treemap

Engineering supremacy visualization

The Engineering rectangle dwarfs all others, representing nearly half of all hiring. This visual confirms both companies prioritize technical execution over business strategy roles.

Where Are Google and Meta Focusing Their Hiring?

Product area investment reveals strategic priorities

Google splits hiring across 7 product areas: Cloud (3,084 jobs, 37%), AI/ML (2,100 jobs, 25%), Other (1,478 jobs, 18%). Meta concentrates 52% (608 jobs) in Reality Labs with remaining 48% across support functions. Google's diversification reduces risk while Meta's focus maximizes VR-AR impact.