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Microsoft

technology industry Redmond 228.0K employees MSFT website ↗

Microsoft has 111 indexed roles weighted toward engineering across United States. Posting volume is accelerating (+171% week-over-week).

111
Indexed roles
+8%
14d momentum
26 recent vs 24 prior
#1
Industry rank
96.5% of 115 jobs · 2 peers
0.36
AI exposure (occupation)
Skill-weighted: 0.46
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: 14 days (industry: 14).
5 11 16 22 2026-03-02: 18 postings 2026-04-20: 17 postings 2026-04-27: 6 postings 2026-05-04: 7 postings 2026-05-11: 8 postings 2026-05-18: 6 postings 2026-05-25: 11 postings 2026-06-01: 12 postings 2026-06-08: 7 postings 2026-06-15: 19 postings 2026-03-022026-05-182026-06-15
accelerating Week-over-week: +171% Long-open postings (>90d): 18
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
98
Marketing
9
Operations
2
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.
United States
104 (94.5%)
United Kingdom
1 (0.9%)
India
1 (0.9%)
APAC
1 (0.9%)
↗ Unknown: 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.
Executive
1
Staff / Principal
15
Senior
86
Mid-level
8
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
Python 54 48.6% 25% 1.95× 100%
Machine Learning 41 36.9% 75% 0.49× 83%
Reinforcement Learning 8 7.2% 25% 0.29× 13%
Leadership 3 2.7% 25% 0.11× 67%
Software Development 8 7.2% 75% 0.10× 88%
Machine Learning Frameworks 4 3.6% 75% 0.05× 50%
Cloud Computing 3 2.7% 75% 0.04× 33%
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.
$160K $170K $180K $190K $200K $210K All regions Industry: $184,325 Company: $184,325 (n=84) United States Company: $191,400 (n=81) Unknown Company: $177,250 (n=3)
Microsoft Industry baseline Microsoft sits at the 50th 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.

No peers yet — peer matching needs more companies tagged in this industry. The list will fill out as YubHub's coverage grows.

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
Mountain View, United States senior hybrid Engineering
Mountain View senior hybrid Engineering
Mountain View senior hybrid Data Science
Redmond senior hybrid Engineering
Garden City, United States senior Marketing
Redmond senior hybrid Engineering
Boulder senior hybrid IT
Mountain View senior hybrid Engineering
Methodology & Sources
How this is computed

Last enriched: 2026-03-20.

Company-data sources: wikidata, fmp, github, news, hackernews, wayback, sec

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/microsoft.json · /companies/microsoft.md · api.yubhub.co/stats/company/microsoft