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xAI

artificial intelligence San Francisco Bay Area website ↗

xAI has 214 indexed roles weighted toward engineering across United States. Posting volume is cooling (-67% week-over-week).

214
Indexed roles
+20%
14d momentum
6 recent vs 5 prior
#2
Industry rank
15% of 1.4K jobs · 4 peers
0.21
AI exposure (occupation)
Skill-weighted: 0.32
Hiring Trajectory
Posting volume over the last 23 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks. Median time from first sighting to closure: 62 days (industry: 44).
23 47 70 93 2026-04-13: 81 postings 2026-04-20: 5 postings 2026-04-27: 10 postings 2026-05-04: 4 postings 2026-05-11: 7 postings 2026-05-18: 4 postings 2026-05-25: 10 postings 2026-06-01: 3 postings 2026-06-08: 4 postings 2026-06-15: 26 postings 2026-06-22: 9 postings 2026-06-29: 4 postings 2026-07-06: 16 postings 2026-07-13: 1 postings 2026-07-20: 3 postings 2026-08-03: 7 postings 2026-08-10: 3 postings 2026-08-17: 4 postings 2026-08-31: 2 postings 2026-09-14: 3 postings 2026-09-21: 4 postings 2026-09-28: 3 postings 2026-10-05: 1 postings 2026-04-132026-06-292026-10-05
decelerating Week-over-week: -67% Long-open postings (>90d): 182
Functional Mix
Where the hiring is concentrated
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
164
It
20
Operations
10
Legal
7
Finance
5
Marketing
4
Hr
1
Geographic Distribution
Where postings live, and where they're moving
Free-text jobs.location resolved into 12 region buckets. Emerging hubs flagged when last-30-days postings >50% above prior 30 days.
United States
167 (78%)
Remote
29 (13.6%)
United Kingdom
10 (4.7%)
APAC
2 (0.9%)
EU
2 (0.9%)
↗ United States: 7 postings in last 30d, up from 4 prior (+75%)
↗ Remote: 4 postings in last 30d, up from 0 prior (+100%)
↘ United Kingdom: 0 postings in last 30d, down from 4 prior (-100%)
Seniority Distribution
Who exactly is being hired
Levels in postings, plus a separate read on executive-tier roles which are the leading indicator of strategic shifts.
Executive
1
Staff / Principal
25
Senior
104
Mid-level
54
Entry-level
14
Disproportionate Skills
What this company is over-indexed on vs industry peers
Location Quotient = (this company's % of postings with skill X) ÷ (peer industry's % of the same skill). Values above 1.0 mean over-indexed. Peer baseline excludes this company itself, so a dominant employer doesn't collapse to ~1.0. Skills with fewer than 3 occurrences here are excluded.
Skill Postings This co. Peer avg LQ Required
Data Center Construction 12 5.6% 0.1% 67.96× 0%
Structured Cabling 7 3.3% 0.1% 39.64× 57%
Switchgear 6 2.8% 0.1% 33.98× 100%
Customer Service 5 2.3% 0.1% 28.32× 60%
Generators 5 2.3% 0.1% 28.32× 80%
Electrical Engineering 9 4.2% 0.2% 25.49× 89%
Independent Judgment 4 1.9% 0.1% 22.65× 50%
Mechanical Engineering 8 3.7% 0.2% 22.65× 75%
Mission-critical Facilities 4 1.9% 0.1% 22.65× 50%
Linux Kernel 4 1.9% 0.1% 22.65× 25%
Operational Excellence 4 1.9% 0.1% 22.65× 100%
Commissioning 11 5.1% 0.2% 20.77× 82%
Construction Management 20 9.3% 0.5% 18.88× 95%
Large-scale Systems 3 1.4% 0.1% 16.99× 100%
Time Management 3 1.4% 0.1% 16.99× 100%
Salary Positioning
Pay vs the industry baseline (USD midpoint)
Midpoint of salary_min/salary_max converted to USD via simple 2024-snapshot FX. Values outside $10k–$1M filtered as parser noise.
$100K $150K $200K $250K $300K $350K All regions Industry: $325,000 Company: $245,000 (n=54) United States Company: $262,500 (n=48) EU Company: $66,000 (n=2) United Kingdom Company: $92,710 (n=2) Unknown Company: $127,500 (n=2)
xAI Industry baseline xAI sits at the 16th percentile of industry pay
Market Position
Direct hiring competitors
Peers are companies in the same industry, ranked by how much their job categories overlap with this one (Jaccard score on the top 5 normalised categories). Each peer's hiring momentum is shown from the same 14-day windows.
Company Postings Similarity Momentum
Anthropic 1.2K 67% accelerating
Google DeepMind 13 17% stable
Strategic Themes
What this hiring is revealing

Coming soon.

Weekly LLM-synthesised brief — emerging capabilities, decaying capabilities, geographic shifts, seniority signals — drawn from the company's own posting tag distribution. Will populate once Phase 4 of the company-intelligence pipeline (OpenRouter long-context model) ships.

Latest
Most recent indexed postings
Remote remote IT
Remote remote IT
Remote remote IT
Remote remote IT
Palo Alto, CA; Austin, TX; New York, NY; Washington, DC senior onsite Legal
Palo Alto, CA senior onsite Legal
Palo Alto, CA senior Marketing
Palo Alto, CA senior Marketing
Methodology & Sources
How this is computed

Last enriched: 2026-03-20.

Company-data sources: wikidata, news

Hiring aggregates run live against D1; cached at the edge for up to 24 hours. AI-exposure scores derive from O*NET 30.2 occupation taxonomy crossed with the Anthropic Economic Index 2026-03-24 release.

Caveats: salary parser uses 2024 FX snapshot rates; long-tail location strings may bucket as "Unknown"; Location Quotient excludes companies with fewer than 5 indexed roles to keep ratios stable. Salary disclosure under 20% triggers a warning on the salary chart.

Machine-readable equivalents: /companies/xai.json · /companies/xai.md · api.yubhub.co/stats/company/xai