A prioritized list of accounts hiring into your target department, enriched company profiles, relevant contacts, and outreach angles. Here’s what the output looks like:
Department hiring surge accounts — Lusha
| Field | Value |
|---|
| Signal type | Hiring surge by department · Marketing |
| Best-fit account | [Company A] · B2B SaaS · 500–1,000 employees · North America |
| Hiring signal | 157 new Marketing jobs · 73% above historical average |
| Priority tier | Tier 1 · strong ICP fit + recent department-level hiring surge |
| Recommended contact | R.M. · VP Marketing · verified email available · mobile available |
| Outreach angle | Team growth may make campaign operations, routing, or reporting workflows more urgent |
Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own target department and ICP details to see live results.
Why use Lusha in ChatGPT to find department hiring surges
Hiring surges are useful because they show where the company is investing attention. A general company hiring spike can be interesting. A hiring spike in the exact department your product serves is much more useful.
Lusha helps turn that department-level movement into a prioritized account list. The prompt finds companies hiring into your target function, enriches the company profile, checks for supporting signals, and identifies relevant contacts. That gives reps both a reason to prioritize the account and a person to start with.
The department context matters because different teams hire for different reasons. Sales hiring may point to pipeline growth. Marketing hiring may point to demand expansion. IT hiring may point to systems work. Operations or RevOps hiring may point to process pressure. The prompt helps translate that movement into a grounded outreach angle without overclaiming what the signal proves.
The result is prospecting based on where the account is actively changing, not just who fits a title search.
Lusha data is sourced and used in accordance with Lusha’s Privacy Policy and Terms of Use. Lusha is GDPR compliant and covers contacts across North America, EMEA, and APAC.