google

The user wants me to create a detailed workforce analysis report for Google. Let me start by understanding what I need to do:

1. Map Google's organization into a functional hierarchy (max 4-5 levels)
2. Estimate headcount distribution across functions
3. Document sources with URLs
4. Apply Anthropic's automation/augmentation shares to each O*NET role
5. Call org_report_finalizer exactly once*

First, I need to determine Google's size and gather context. From my knowledge:

• Google (Alphabet) is an enterprise company with well over 50,000 employees (actually around 180,000+ employees as of recent data)
• Major divisions: Search, Ads, Cloud, YouTube, Hardware, Android, AI/Research, Corporate functions
• This falls into ENTERPRISE category (50K+)
• Should have 100-200+ nodes minimum
• 6-10 major divisions at L1

Let me start with parallel searches to gather current data about Google's workforce, organizational structure, and headcount. I'll search for:

1. Total employee count
2. Organizational structure
3. Department breakdowns
4. Geographic distribution
5. Recent hiring/workforce trends

Important: I must NOT mix web_search with think tool in the same parallel call. I need to:

1. First batch: web_search calls only
2. Then: think tool to reflect
3. Continue as needed

Let me start with focused searches about Google's workforce.

I've gathered comprehensive data about Google (Alphabet). Let me synthesize what I've learned:

Total Headcount:

• Most recent Q3 2025: ~190,167 employees (as of Sept 30, 2025)
• End of 2024: 183,323 employees
• June 2025: 187,103 employees
• This is an ENTERPRISE company (50K+), so I need 100-200+ nodes minimum, 6-10 major divisions

Organizational Structure:

• Matrix structure with cross-functional teams
• Function-based groups: Engineering, Sales, Marketing, Product Management, Legal, Finance, HR
• Product-based divisions: Search, Ads, Cloud, YouTube, Android, Hardware, AI

Department Breakdown (from Unify data - ~181K employees):

• Engineering: 80,148 (44%)
• Business Management: 26,154 (14%)
• Marketing and Product: 20,606 (11%)
• Sales and Support: 18,164 (10%)
• Finance and Administration: 8,348 (5%)
• Information Technology: 5,917 (3%)
• Operations: 5,507 (3%)
• Human Resources: 4,411 (2%)
• Program and Project Management: 3,799 (2%)
• Other: 7,927 (4%)

Key Product Areas & Subsidiaries:

• Google Search & Ads
• YouTube (~7,173 employees including contractors, ~2,000 core)
• Google Cloud (doubled headcount since 2019, significant growth driver)
• Android
• Hardware (Pixel, etc.)
• AI/Research
• Corporate functions

Geographic Distribution:

• HQ: Mountain View, CA (Googleplex)
• Major hubs: San Francisco (20,584), New York (13,073), Mountain View (7,926), Seattle (5,667)
• Global: 70+ offices in 200+ cities across 50+ countries
• International: India, Ireland, UK, Canada, Germany, Japan, etc.

Now I need to build a detailed hierarchy appropriate for an enterprise company. Based on the size (~190K employees), I should create:

• L0: Executive Leadership
• L1: 8-10 major divisions
• L2: Departments within each division (3-6 per division)
• L3: Sub-departments or teams (2-4 per department)
• L4: Role categories with ONET codes

Target: 100-200 nodes minimum. Let me structure this:

L0: Executive Leadership

• CEO & Executive Team

L1 Major Divisions:

1. Engineering & Technical Infrastructure (~85,000)
2. Product & User Experience (~20,000)
3. Sales & Business Development (~18,000)
4. Cloud & Enterprise (~15,000)
5. Marketing & Communications (~10,000)
6. Finance & Business Operations (~15,000)
7. People Operations (HR) & Legal (~8,000)
8. Research & AI (~10,000)
9. YouTube (~7,000)
10. Corporate & Facilities (~2,000)

I should now search for more specific role breakdowns and then map to ONET codes. Let me continue with targeted searches for specific divisions.

I have excellent information now. Let me synthesize what I've learned and plan my approach to building the hierarchy:

Key Engineering Role Types at Google:

• Software Engineers (SWE) - L3 to L11, majority at L4-L6
• Site Reliability Engineers (SRE) - parallel ladder to SWE
• Engineering Productivity (EngProd) - includes Test Engineers (TE)
• Research Scientists - PhD-level researchers in AI/ML
• Product Managers - separate ladder T2-T10
• Technical Program Managers (TPM)
• Data Scientists
• UX Engineers (UXE)
• Developer Relations (DevRel)

Sales Roles:

• Account Executives (various levels)
• Account Strategists
• Sales Engineers
• Customer Growth Associates
• Field Sales Representatives
• Account Managers

Data Center Operations:

• Data Center Technicians (hardware operations)
• Facilities Technicians (mechanical/electrical)
• Data Center Managers
• Network/Systems Administrators

Research:

• Research Scientists (Machine Learning, AI, Computer Vision, etc.)
• Research Engineers
• DeepMind team (separate but integrated)

Now I have enough information to build a comprehensive hierarchy. Let me structure it based on enterprise scale (190K employees):

L0: Executive Leadership (100 employees)

• CEO & C-Suite
• Senior VPs

L1: Major Divisions (~10 divisions)

1. Engineering & Technical Infrastructure (~85,000)

   • Core Engineering (SWE, SRE)
   • Infrastructure & Data Centers
   • Technical Infrastructure

2. Cloud & Enterprise (~20,000)

   • Google Cloud Platform
   • Workspace (formerly G Suite)
   • Enterprise Solutions

3. Products & Platforms (~25,000)

   • Search & Ads
   • Android & Mobile
   • Hardware

4. YouTube (~7,000)

   • Content Platform
   • Creator Relations
   • Engineering

5. Research & AI (~10,000)

   • Google Research
   • DeepMind
   • AI Infrastructure

6. Sales & Business Development (~18,000)

   • Enterprise Sales
   • SMB/Mid-Market
   • Cloud Sales

7. Marketing & Communications (~10,000)

   • Product Marketing
   • Brand Marketing
   • Communications

8. Business Operations (~20,000)

   • Finance
   • Business Intelligence
   • Strategy & Operations

9. People Operations & Legal (~10,000)

   • HR (People Ops)
   • Legal
   • Compliance

10. Corporate Services (~5,000)

• IT Support
  • Facilities
  • Security

I need to build this out to at least 100-150 nodes with specific ONET roles at the leaf levels. Let me now proceed to call the onet_role_summary tool for the major role categories I've identified, then build the final structure.