Ford has 80 indexed roles weighted toward engineering. Posting volume is steady (+7200% week-over-week).
80
Indexed roles
+0%
14d momentum
73 recent vs 0 prior
#1
Industry rank
100% of 80 jobs · 1 peers
0.23
AI exposure (occupation)
Skill-weighted: 0.28
Hiring Trajectory
Posting volume over the last 6 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: 7 days.
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
40
Manufacturing
12
Finance
12
Operations
7
Hr
4
Sales
2
Legal
1
It
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.
India
6 (7.5%)
APAC
5 (6.3%)
Latin America
3 (3.8%)
United States
2 (2.5%)
Australia/NZ
1 (1.3%)
↗ Unknown: 60 postings in last 30d, up from 0 prior (+100%)
↗ India: 6 postings in last 30d, up from 0 prior (+100%)
↗ APAC: 3 postings in last 30d, up from 0 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.
Senior
33
Mid-level
44
Entry-level
3
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.
Not enough industry baseline data yet to compute Location Quotient. This populates once the daily company re-enrichment cron tags this company's industry_canonical.
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 3% of Ford postings include a salary range
(industry: 0%). The chart represents a small sample; treat ranges as indicative.
Ford Industry baseline
Market Position
Direct hiring competitors
Peer set is restricted to the same industry_canonical bucket and ranked by category-overlap (Jaccard on top 5 normalised categories). Each peer's hiring momentum is read from the same 14d / prior-14d windows.
No peers identified yet — once industry_canonical is populated for more companies (daily cron), this list fills out.
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.
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.