Google DeepMind has 57 indexed roles weighted toward engineering across United States.
57
Indexed roles
+150%
14d momentum
5 recent vs 2 prior
#3
Industry rank
5.5% of 1.0K jobs · 5 peers
0.29
AI exposure (occupation)
Skill-weighted: 0.46
Hiring Trajectory
Posting volume over the last 8 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: 33 days (industry: 28).
decelerating
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
50
Design
6
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
37 (64.9%)
United Kingdom
14 (24.6%)
India
2 (3.5%)
APAC
2 (3.5%)
EMEA Other
2 (3.5%)
↘ United States: 2 postings in last 30d, down from 13 prior (-85%)
↘ United Kingdom: 4 postings in last 30d, down from 8 prior (-50%)
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
4
Staff / Principal
8
Senior
39
Mid-level
3
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
Speech Processing
4
7%
0.1%
69.05×
100%
Adobe Creative Suite
4
7%
0.1%
69.05×
75%
Innovation
3
5.3%
0.1%
51.79×
67%
Problem Solving
3
5.3%
0.1%
51.79×
100%
Sketch
4
7%
0.2%
34.53×
75%
Principle
4
7%
0.2%
34.53×
75%
Motion Design
3
5.3%
0.2%
25.89×
100%
User Research
3
5.3%
0.2%
25.89×
100%
Computer Vision
5
8.8%
0.4%
21.58×
100%
Generative AI
6
10.5%
0.5%
20.72×
67%
Product Design
3
5.3%
0.3%
17.26×
100%
Systems Thinking
3
5.3%
0.4%
12.95×
100%
Prototyping
3
5.3%
0.4%
12.95×
100%
Deep Learning
7
12.3%
1%
12.08×
100%
Natural Language Processing
7
12.3%
1%
12.08×
71%
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 4% of Google DeepMind postings include a salary range
(industry: 26%). The chart represents a small sample; treat ranges as indicative.
Google DeepMind Industry baselineGoogle DeepMind sits at the 10th 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.
