Keywords Studios has 153 indexed roles weighted toward engineering across APAC. Posting volume is steady (-87% week-over-week).
153
Indexed roles
+0%
14d momentum
63 recent vs 0 prior
#2
Industry rank
25.8% of 592 jobs · 7 peers
0.31
AI exposure (occupation)
Skill-weighted: 0.49
Hiring Trajectory
Posting volume over the last 3 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: 6 days (industry: 11).
stableWeek-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
Marketing
14
Sales
12
Finance
11
It
8
Hr
7
Operations
7
Design
4
Manufacturing
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.
APAC
44 (31.9%)
India
25 (18.1%)
Canada
16 (11.6%)
United States
10 (7.2%)
EU
9 (6.5%)
Latin America
6 (4.3%)
United Kingdom
3 (2.2%)
↗ Unknown: 17 postings in last 30d, up from 8 prior (+113%)
↗ Canada: 13 postings in last 30d, up from 3 prior (+333%)
↗ EU: 6 postings in last 30d, up from 3 prior (+100%)
↘ APAC: 7 postings in last 30d, down from 37 prior (-81%)
↘ India: 9 postings in last 30d, down from 16 prior (-44%)
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
3
Senior
48
Mid-level
41
Entry-level
32
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
English
29
19%
1.1%
16.64×
97%
Negotiation
5
3.3%
0.2%
14.35×
60%
Sales
5
3.3%
0.2%
14.35×
80%
Social Media
5
3.3%
0.2%
14.35×
100%
Korean
5
3.3%
0.2%
14.35×
100%
Interpersonal Skills
4
2.6%
0.2%
11.48×
50%
Video Game Industry
8
5.2%
0.5%
11.48×
50%
Business Administration
4
2.6%
0.2%
11.48×
100%
Google Sheets
4
2.6%
0.2%
11.48×
75%
Time Management
7
4.6%
0.5%
10.04×
86%
Salesforce
3
2%
0.2%
8.61×
100%
PowerShell
3
2%
0.2%
8.61×
100%
French
3
2%
0.2%
8.61×
100%
MS Office
4
2.6%
0.5%
5.74×
100%
Localization
9
5.9%
1.1%
5.16×
89%
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 7% of Keywords Studios postings include a salary range
(industry: 7%). The chart represents a small sample; treat ranges as indicative.
Keywords Studios Industry baselineKeywords Studios sits at the 12th 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.
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.
