# Microsoft — Hiring Intelligence

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

## Profile

- **Industry:** technology industry
- **HQ:** Redmond
- **Headcount:** 228,000
- **Ticker:** MSFT
- **Website:** <https://www.microsoft.com/>

## Hiring trajectory

- **Total enriched roles:** 199
- **26-week trend:** stable (week-over-week -90%)
- **14-day momentum:** 152 recent vs 0 prior · stable (+0%)
- **Market share:** 98% of industry (203 jobs across 2 companies) — rank 1

## Where the hiring is

| Category | Postings |
| --- | ---: |
| engineering | 198 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| United States | 166 | 83.8% |
| India | 8 | 4% |
| APAC | 8 | 4% |
| United Kingdom | 6 | 3% |
| Canada | 5 | 2.5% |
| Unknown | 4 | 2% |
| Africa | 1 | 0.5% |

### Emerging hubs (last 30 days)

- **United States:** 121 recent vs 7 prior (+1629%)
- **India:** 8 recent vs 0 prior (+100%)
- **APAC:** 8 recent vs 0 prior (+100%)
- **Canada:** 5 recent vs 0 prior (+100%)
- **Unknown:** 4 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 % |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 127 | 63.8% | 25% | 2.55 | 98% |
| Machine Learning | 63 | 31.7% | 75% | 0.42 | 87% |
| Reinforcement Learning | 11 | 5.5% | 25% | 0.22 | 18% |
| Leadership | 5 | 2.5% | 25% | 0.10 | 40% |
| Software Development | 12 | 6% | 75% | 0.08 | 75% |
| Debugging | 3 | 1.5% | 25% | 0.06 | 100% |
| Cloud Computing | 5 | 2.5% | 75% | 0.03 | 0% |
| Machine Learning Frameworks | 4 | 2% | 75% | 0.03 | 75% |

## Salary positioning (USD, midpoint)

- **Company median:** $207,350 (43th percentile of industry)
- **Industry median:** $207,350 (sample n=112)
- **Disclosure:** 56% of company roles disclose salary vs 55% across industry

## Posting dynamics

- **Median days open (closed roles):** 5 (industry: 5)
- **Long-open postings (>90d still active):** 0
- **Closure rate (last 90d):** 50%

## AI exposure

- **Occupation-weighted score:** 0.33 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.461

### Most-exposed roles

- **Senior Software Engineer** — 19 postings, score 0.288
- **Senior Applied Scientist** — 12 postings, score 0.46
- **Principal Software Engineer** — 11 postings, score 0.288
- **Principal Applied Scientist** — 11 postings, score 0.461
- **Principal Product Manager** — 9 postings, score 0.32

## 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:** 2026-03-20T17:06:38.077Z
- **Company-data sources:** wikidata, fmp, github, news, hackernews, wayback, sec
- **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.

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