# Google DeepMind — Hiring Intelligence

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

## Profile

- **Industry:** artificial intelligence
- **HQ:** Googleplex
- **Headcount:** 10,000
- **Website:** <https://deepmind.google/>

## Hiring trajectory

- **Total enriched roles:** 82
- **26-week trend:** accelerating (week-over-week -80%)
- **14-day momentum:** 6 recent vs 34 prior · decelerating (-82%)
- **Market share:** 7.2% of industry (1,146 jobs across 4 companies) — rank 3

## Where the hiring is

| Category | Postings |
| --- | ---: |
| engineering | 69 |
| design | 7 |
| hr | 3 |
| operations | 1 |
| it | 1 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| United States | 56 | 68.3% |
| United Kingdom | 21 | 25.6% |
| India | 2 | 2.4% |
| EMEA Other | 2 | 2.4% |
| Canada | 1 | 1.2% |

### Emerging hubs (last 30 days)

- **United Kingdom:** 15 recent vs 6 prior (+150%)

## 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 % |
| --- | ---: | ---: | ---: | ---: | ---: |
| Innovation | 4 | 4.9% | 0.1% | 51.90 | 50% |
| Adobe Creative Suite | 4 | 4.9% | 0.1% | 51.90 | 75% |
| Product Design | 3 | 3.7% | 0.1% | 38.93 | 100% |
| Principle | 4 | 4.9% | 0.2% | 25.95 | 75% |
| Generative AI | 7 | 8.5% | 0.4% | 22.71 | 71% |
| Figma | 4 | 4.9% | 0.3% | 17.30 | 75% |
| Software Development | 6 | 7.3% | 0.6% | 12.98 | 67% |
| Systems Thinking | 3 | 3.7% | 0.3% | 12.98 | 100% |
| Prototyping | 3 | 3.7% | 0.3% | 12.98 | 100% |
| User Experience | 3 | 3.7% | 0.3% | 12.98 | 67% |
| Natural Language Processing | 6 | 7.3% | 0.8% | 9.73 | 67% |
| Deep Learning | 6 | 7.3% | 0.8% | 8.65 | 100% |
| Time Management | 3 | 3.7% | 0.6% | 6.49 | 100% |
| Computer Vision | 3 | 3.7% | 0.6% | 6.49 | 100% |
| TensorFlow | 3 | 3.7% | 0.6% | 6.49 | 67% |

## Salary positioning (USD, midpoint)

- **Company median:** $95,500 (6th percentile of industry)
- **Industry median:** $280,000 (sample n=3)
- **Disclosure:** 4% of company roles disclose salary vs 11% across industry

> ⚠️ Salary disclosed on fewer than 20% of roles — sample is small, treat ranges as indicative.

## Posting dynamics

- **Median days open (closed roles):** 33 (industry: 28)
- **Long-open postings (>90d still active):** 0
- **Closure rate (last 90d):** 52%

## Executive-level hires

- **Last 30 days:** 3 exec/director-level postings
- **Prior 90-day average:** 1 per 30-day window
- **Growth:** +200%

### Notable exec roles (recent)

- **Director, Engineering, Create** — Mountain View, California, US _(posted 2026-04-18)_
- **Director, Engineering, Create** — Mountain View, California, US _(posted 2026-04-18)_
- **Director, UX, GeminiApp, Growth and Discovery** — Mountain View, California, US _(posted 2026-04-18)_

## AI exposure

- **Occupation-weighted score:** 0.282 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.461

### Most-exposed roles

- **Research Scientist, Gemini Safety** — 3 postings, score 0.46
- **Research Scientist, Gemini Information Tasks** — 3 postings, score 0.46
- **Technical Program Manager, Agents Innovation - 12 Month FTC** — 2 postings, score 0.092
- **Tech Strategy Product Manager, Google DeepMind** — 2 postings, score 0.32
- **Tech Strategy Director, Compute, Google DeepMind** — 2 postings, score 0.156

## Peer set

| Company | Postings | Similarity | Momentum |
| --- | ---: | ---: | --- |
| [Perplexity AI](https://yubhub.co/companies/perplexity-ai) | 10 | 50% | stable |
| [xAI](https://yubhub.co/companies/xai) | 315 | 25% | decelerating |
| [Anthropic](https://yubhub.co/companies/anthropic) | 732 | 11% | decelerating |

## 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:** 2026-03-20T16:23:38.817Z
- **Company-data sources:** wikidata, github, news
- **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/google-deepmind>