# xAI — Hiring Intelligence

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

## Profile

- **Industry:** artificial intelligence
- **HQ:** San Francisco Bay Area
- **Website:** <https://x.ai>

## Hiring trajectory

- **Total enriched roles:** 319
- **26-week trend:** stable (week-over-week -78%)
- **14-day momentum:** 45 recent vs 274 prior · decelerating (-84%)
- **Market share:** 27.8% of industry (1,146 jobs across 4 companies) — rank 2

## Where the hiring is

| Category | Postings |
| --- | ---: |
| engineering | 212 |
| finance | 33 |
| operations | 22 |
| legal | 16 |
| sales | 15 |
| it | 8 |
| hr | 4 |
| marketing | 2 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| United States | 150 | 47% |
| Remote | 135 | 42.3% |
| United Kingdom | 16 | 5% |
| APAC | 15 | 4.7% |
| EU | 2 | 0.6% |
| Middle East | 1 | 0.3% |

### Emerging hubs (last 30 days)

- **United States:** 150 recent vs 0 prior (+100%)
- **Remote:** 135 recent vs 0 prior (+100%)
- **United Kingdom:** 16 recent vs 0 prior (+100%)
- **APAC:** 15 recent vs 0 prior (+100%)

## Disproportionate skills (Location Quotient vs industry peers)

LQ = (this company's share of postings with skill X) ÷ (peer industry's share of the same skill). Values >1 mean over-indexed; >2 means twice as common as peers.

| Skill | Postings | This company % | Peer industry % | LQ | Required % |
| --- | ---: | ---: | ---: | ---: | ---: |
| Speech Recognition | 17 | 5.3% | 0.1% | 44.07 | 100% |
| Construction Management | 14 | 4.4% | 0.1% | 36.29 | 86% |
| Annotation Workflows | 10 | 3.1% | 0.1% | 25.92 | 20% |
| Inventory Management | 8 | 2.5% | 0.1% | 20.74 | 100% |
| Data Quality | 15 | 4.7% | 0.2% | 19.44 | 20% |
| Quality | 6 | 1.9% | 0.1% | 15.55 | 67% |
| CFA | 6 | 1.9% | 0.1% | 15.55 | 0% |
| Detail-oriented | 5 | 1.6% | 0.1% | 12.96 | 60% |
| Linux | 5 | 1.6% | 0.1% | 12.96 | 100% |
| Automation Tools | 5 | 1.6% | 0.1% | 12.96 | 100% |
| Fintech | 5 | 1.6% | 0.1% | 12.96 | 40% |
| Tableau | 4 | 1.3% | 0.1% | 10.37 | 100% |
| Database Management | 4 | 1.3% | 0.1% | 10.37 | 100% |
| Analysis | 4 | 1.3% | 0.1% | 10.37 | 100% |
| Journalism | 4 | 1.3% | 0.1% | 10.37 | 25% |

## Salary positioning (USD, midpoint)

- **Company median:** $260,000 (39th percentile of industry)
- **Industry median:** $280,000 (sample n=17)
- **Disclosure:** 5% of company roles disclose salary vs 11% across industry

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

## Posting dynamics

- **Median days open (closed roles):** 11 (industry: 28)
- **Long-open postings (>90d still active):** 0
- **Closure rate (last 90d):** 7%

## Executive-level hires

- **Last 30 days:** 3 exec/director-level postings
- **Prior 90-day average:** 0 per 30-day window
- **Growth:** +100%

### Notable exec roles (recent)

- **Legal Director, X Payments** — Palo Alto, CA _(posted 2026-04-24)_
- **Legal Director, X Payments** — Palo Alto, CA _(posted 2026-04-24)_
- **Head of GTM - Systems & Agents** — Palo Alto, CA _(posted 2026-04-18)_

## AI exposure

- **Occupation-weighted score:** 0.223 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.41

### Most-exposed roles

- **Member of Technical Staff - X Money** — 4 postings, score 0.288
- **Member of Technical Staff - Model Training** — 3 postings, score 0.288
- **Exceptional Software Engineer** — 3 postings, score 0.288
- **Backend Engineer - API** — 3 postings, score 0.288
- **Structural Engineer - Data Centers** — 2 postings, score 0.008

## Peer set

| Company | Postings | Similarity | Momentum |
| --- | ---: | ---: | --- |
| [Anthropic](https://yubhub.co/companies/anthropic) | 732 | 67% | decelerating |
| [Perplexity AI](https://yubhub.co/companies/perplexity-ai) | 10 | 50% | stable |
| [Google DeepMind](https://yubhub.co/companies/google-deepmind) | 81 | 25% | decelerating |

## 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:** 2026-03-20T16:27:56.100Z
- **Company-data sources:** wikidata, news
- **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.

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