# SoFi — Hiring Intelligence

> Generated: 2026-11-02 · Source: <https://yubhub.co/companies/sofi> · API: <https://api.yubhub.co/stats/company/sofi>

## Profile


## Hiring trajectory

- **Total enriched roles:** 54
- **26-week trend:** stable (week-over-week +0%)
- **14-day momentum:** 54 recent vs 0 prior · stable (+0%)
- **Market share:** 100% of industry (54 jobs across 1 companies) — rank 1

## Where the hiring is

| Category | Postings |
| --- | ---: |
| finance | 18 |
| engineering | 8 |
| product management | 6 |
| marketing | 5 |
| design | 5 |
| operations | 3 |
| legal | 3 |
| security | 2 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| United States | 42 | 77.8% |
| Unknown | 12 | 22.2% |

### Emerging hubs (last 30 days)

- **United States:** 42 recent vs 0 prior (+100%)
- **Unknown:** 12 recent vs 0 prior (+100%)

## Executive-level hires

- **Last 30 days:** 10 exec/director-level postings
- **Prior 90-day average:** 0 per 30-day window
- **Growth:** +100%

### Notable exec roles (recent)

- **Art Director, Generative AI (Contract)** — San Francisco, CA _(posted 2026-10-27)_
- **Director Product Manager, Commercial Banking** — CA - San Francisco; NY - New York City; WA - Seattle _(posted 2026-10-27)_
- **Director, Sanctions Program Owner and Advisor** — United States _(posted 2026-10-27)_
- **Director - Special Investigations (FIU)** — United States _(posted 2026-10-27)_
- **Executive Assistant, Office of the CTO** — San Francisco, CA _(posted 2026-10-27)_

## AI exposure

- **Occupation-weighted score:** 0.268 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.311

## 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

- **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/sofi>