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Airbnb

Airbnb has 155 indexed roles weighted toward engineering across United States. Posting volume is steady (-87% week-over-week).

155
Indexed roles
+0%
14d momentum
155 recent vs 0 prior
#1
Industry rank
100% of 155 jobs · 1 peers
0.27
AI exposure (occupation)
Skill-weighted: 0.39
Hiring Trajectory
Posting volume over the last 2 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks.
39 79 118 158 2026-04-13: 137 postings 2026-04-20: 18 postings 2026-04-132026-04-20
stable Week-over-week: -87%
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
82
Operations
34
Sales
15
Marketing
10
Finance
4
Legal
2
Hr
2
Design
2
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
51 (32.9%)
Remote
32 (20.6%)
APAC
26 (16.8%)
Latin America
12 (7.7%)
India
10 (6.5%)
Canada
9 (5.8%)
EU
9 (5.8%)
United Kingdom
3 (1.9%)
↗ United States: 51 postings in last 30d, up from 0 prior (+100%)
↗ Remote: 32 postings in last 30d, up from 0 prior (+100%)
↗ APAC: 26 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.
Staff / Principal
22
Senior
117
Mid-level
15
Entry-level
1
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 8% of Airbnb postings include a salary range (industry: 0%). The chart represents a small sample; treat ranges as indicative.
$160K $180K $200K $220K All regions Company: $185,500 (n=13) United States Company: $185,500 (n=9) Remote Company: $213,000 (n=4)
Airbnb 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.

Latest
Most recent indexed postings
Staff Software Engineer, Airfam Products
United States staff remote Engineering
Senior Manager Global Capacity and Operational Planning (Community Support)
United States senior remote Operations
Community Support Forecasting and Demand Planning Analyst
United States senior remote Operations
AI-Enabled Insights Lead
United States senior hybrid Research
Software Engineer, Guest & Host
Remote, USA mid remote Engineering
Senior Talent (HR) Partner, India
Gurgaon, India senior onsite HR
Senior Systems Engineer, OIC (BizTech)
Remote - Bangalore, India senior remote Engineering
Senior Staff Software Engineer, Trust
Remote - US senior remote Engineering
Methodology & Sources
How this is computed

Last enriched: unknown.

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