# Ford Motor Company — Hiring Intelligence > Generated: 2026-05-05 · Source: · API: ## Profile - **Industry:** automotive industry - **HQ:** Dearborn - **Headcount:** 186,000 - **Website:** ## Hiring trajectory - **Total enriched roles:** 485 - **26-week trend:** accelerating (week-over-week -57%) - **14-day momentum:** 461 recent vs 0 prior · stable (+0%) - **Market share:** 66.1% of industry (734 jobs across 6 companies) — rank 1 ## Where the hiring is | Category | Postings | | --- | ---: | | engineering | 350 | | manufacturing | 46 | | operations | 25 | | hr | 17 | | finance | 16 | | it | 9 | | sales | 6 | | design | 5 | ## Geographic distribution | Region | Postings | Share | | --- | ---: | ---: | | Unknown | 399 | 82.3% | | United States | 79 | 16.3% | | Latin America | 6 | 1.2% | | India | 1 | 0.2% | ### Emerging hubs (last 30 days) - **Unknown:** 397 recent vs 0 prior (+100%) - **United States:** 57 recent vs 10 prior (+470%) - **Latin America:** 6 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 % | | --- | ---: | ---: | ---: | ---: | ---: | | Lean Manufacturing | 19 | 3.9% | 0.4% | 9.75 | 84% | | Six Sigma | 19 | 3.9% | 0.4% | 9.75 | 89% | | CAN | 12 | 2.5% | 0.4% | 6.16 | 92% | | Systems Engineering | 12 | 2.5% | 0.4% | 6.16 | 83% | | Supply Chain | 11 | 2.3% | 0.4% | 5.65 | 91% | | CAD | 10 | 2.1% | 0.4% | 5.13 | 100% | | LIN | 10 | 2.1% | 0.4% | 5.13 | 90% | | Embedded Systems | 9 | 1.9% | 0.4% | 4.62 | 89% | | Cybersecurity | 9 | 1.9% | 0.4% | 4.62 | 78% | | Employee Relations | 8 | 1.6% | 0.4% | 4.11 | 100% | | AWS | 8 | 1.6% | 0.4% | 4.11 | 63% | | Java | 23 | 4.7% | 1.2% | 3.94 | 87% | | Product Development | 15 | 3.1% | 0.8% | 3.85 | 73% | | Ethernet | 7 | 1.4% | 0.4% | 3.59 | 100% | | Docker | 7 | 1.4% | 0.4% | 3.59 | 86% | ## Salary positioning (USD, midpoint) - **Company median:** $129,420 (56th percentile of industry) - **Industry median:** $123,550 (sample n=370) - **Disclosure:** 76% of company roles disclose salary vs 63% across industry ## Posting dynamics - **Median days open (closed roles):** 7 (industry: 7) - **Long-open postings (>90d still active):** 12 - **Closure rate (last 90d):** 33% ## Executive-level hires - **Last 30 days:** 18 exec/director-level postings - **Prior 90-day average:** 0 per 30-day window - **Growth:** +100% ### Notable exec roles (recent) - **Director, Vehicle Cloud & Mobility - Telemetry & Data Platform** — Dearborn _(posted 2026-04-29)_ - **Head of IT Enterprise Security, Ford Energy** — Glendale _(posted 2026-04-29)_ - **Director, Central Transformation** — Dearborn _(posted 2026-04-28)_ - **Director of Product, Vehicle Health Alerts (VHA) - Diagnostics and Prognostics** — Dearborn _(posted 2026-04-25)_ - **Director, Core Runtime & Platform Engineering** — Palo Alto _(posted 2026-04-25)_ ## AI exposure - **Occupation-weighted score:** 0.169 (0 = manual / low automation, 1 = high automation potential) - **Skill-weighted score:** 0.422 ### Most-exposed roles - **Hourly Warehouse Team Member** — 10 postings, score 0 - **Hourly Production Team Member** — 7 postings, score 0 - **Product Development Engineer** — 4 postings, score 0.081 - **Occupational Health Nurse - Onsite** — 4 postings, score 0.06 - **SOT Operations Specialist, North Americas** — 3 postings, score 0.048 ## Peer set | Company | Postings | Similarity | Momentum | | --- | ---: | ---: | --- | | [McLaren Automotive](https://yubhub.co/companies/mclaren-automotive) | 15 | 100% | stable | | [Amazon](https://yubhub.co/companies/amazon) | 13 | 80% | stable | | [Honda](https://yubhub.co/companies/honda) | 161 | 43% | stable | | [Porsche](https://yubhub.co/companies/porsche) | 40 | 43% | stable | | [Prodrive](https://yubhub.co/companies/prodrive) | 19 | 11% | stable | ## 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:** 2026-03-20T16:23:10.675Z - **Company-data sources:** wikidata, github, 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: