artificial intelligenceSan Francisco Bay Areawebsite ↗
xAI has 353 indexed roles weighted toward engineering across United States. Posting volume is accelerating (+188% week-over-week).
353
Indexed roles
+56%
14d momentum
64 recent vs 41 prior
#2
Industry rank
30% of 1.2K jobs · 5 peers
0.20
AI exposure (occupation)
Skill-weighted: 0.49
Hiring Trajectory
Posting volume over the last 10 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: 27 days (industry: 28).
acceleratingWeek-over-week: +188%
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
266
Operations
38
Legal
15
It
11
Sales
7
Hr
6
Finance
5
Design
2
Marketing
1
Consulting
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
252 (71.4%)
Remote
75 (21.2%)
APAC
14 (4%)
United Kingdom
12 (3.4%)
↗ United States: 107 postings in last 30d, up from 66 prior (+62%)
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
35
Senior
142
Mid-level
140
Entry-level
22
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
Speech Recognition
15
4.2%
0.1%
34.97×
100%
Inventory Management
15
4.2%
0.1%
34.97×
100%
Annotation Workflows
10
2.8%
0.1%
23.31×
20%
Linux
10
2.8%
0.1%
23.31×
100%
Data Center Construction
10
2.8%
0.1%
23.31×
0%
Data Center
8
2.3%
0.1%
18.65×
0%
Customer Service
7
2%
0.1%
16.32×
100%
Structured Cabling
7
2%
0.1%
16.32×
43%
Pumps
7
2%
0.1%
16.32×
71%
Hyperscale
7
2%
0.1%
16.32×
0%
Quality
6
1.7%
0.1%
13.99×
67%
Power BI
6
1.7%
0.1%
13.99×
100%
Troubleshooting
11
3.1%
0.2%
12.82×
91%
Automation Tools
5
1.4%
0.1%
11.66×
100%
Technology
5
1.4%
0.1%
11.66×
0%
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.
⚠ Low disclosure — only 12% of xAI postings include a salary range
(industry: 34%). The chart represents a small sample; treat ranges as indicative.
xAI Industry baselinexAI sits at the 27th 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.
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.
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.
