# Anthropic — Hiring Intelligence

> Generated: 2026-05-05 · Source: <https://yubhub.co/companies/anthropic> · API: <https://api.yubhub.co/stats/company/anthropic>

## Profile

- **Industry:** AI & Machine Learning
- **HQ:** San Francisco
- **Headcount:** 500
- **Website:** <https://www.anthropic.com/>

## Hiring trajectory

- **Total enriched roles:** 735
- **26-week trend:** accelerating (week-over-week -47%)
- **14-day momentum:** 120 recent vs 424 prior · decelerating (-72%)
- **Market share:** 100% of industry (735 jobs across 1 companies) — rank 1

## Where the hiring is

| Category | Postings |
| --- | ---: |
| engineering | 476 |
| sales | 133 |
| finance | 55 |
| legal | 26 |
| marketing | 25 |
| operations | 12 |
| it | 4 |
| hr | 1 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| United States | 489 | 66.5% |
| United Kingdom | 76 | 10.3% |
| EU | 58 | 7.9% |
| Remote | 40 | 5.4% |
| APAC | 39 | 5.3% |
| Unknown | 13 | 1.8% |
| India | 12 | 1.6% |
| Australia/NZ | 8 | 1.1% |

### Emerging hubs (last 30 days)

- **United States:** 350 recent vs 139 prior (+152%)
- **United Kingdom:** 55 recent vs 21 prior (+162%)
- **EU:** 47 recent vs 11 prior (+327%)
- **Remote:** 40 recent vs 0 prior (+100%)
- **APAC:** 26 recent vs 13 prior (+100%)

## Salary positioning (USD, midpoint)

- **Company median:** $301,625 (49th percentile of industry)
- **Industry median:** $301,625 (sample n=102)
- **Disclosure:** 14% of company roles disclose salary vs 14% across industry

> ⚠️ Salary disclosed on fewer than 20% of roles — sample is small, treat ranges as indicative.

## Posting dynamics

- **Median days open (closed roles):** 28 (industry: 28)
- **Long-open postings (>90d still active):** 0
- **Closure rate (last 90d):** 31%

## Executive-level hires

- **Last 30 days:** 32 exec/director-level postings
- **Prior 90-day average:** 0.7 per 30-day window
- **Growth:** +4471%

### Notable exec roles (recent)

- **Head of Finance AI & Innovation** — San Francisco, CA _(posted 2026-04-28)_
- **Head of Resilience Operations, Global Safety, Intelligence & Security** — Boston, MA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC _(posted 2026-04-25)_
- **Head of ANZ, Applied AI** — Sydney, Australia _(posted 2026-04-25)_
- **Head of Resilience Operations, Global Safety, Intelligence & Security** — Boston, MA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC _(posted 2026-04-25)_
- **Head of ANZ, Applied AI** — Sydney, Australia _(posted 2026-04-25)_

## AI exposure

- **Occupation-weighted score:** 0.278 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.648

### Most-exposed roles

- **Solutions Architect, Applied AI (Industries)** — 7 postings, score 0.199
- **Partner Solutions Architect, Applied AI** — 6 postings, score 0.199
- **Business Development Representative** — 6 postings, score 0.648
- **Applied AI Engineer** — 5 postings, score 0.461
- **Senior Software Security Engineer** — 4 postings, score 0.486

## Strategic themes

_Strategy briefs are generated weekly by an LLM analysis of the company's posting tag distribution. This section will populate once Phase 4 of the company-intelligence pipeline ships._

## Methodology & sources

- **Last enriched:** 2026-05-02T18:31:56.383Z
- **Company-data sources:** wikidata, news, hackernews
- **Job-data refresh:** continuous (queue pipeline). Aggregations cached at the edge for up to 24 hours.
- **Caveats:** salary parser uses simple FX (snapshot 2024 rates); long-tail location strings may bucket as "Unknown"; AI-exposure scores derive from O*NET 30.2 + Anthropic Economic Index 2026-03-24.

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Data: <https://api.yubhub.co/stats/company/anthropic>