# How Salesloft uses QA Wolf

**$750K**: “saving more than $750K/year in QA engineering”

As published on [qawolf.com](https://www.qawolf.com/customers/salesloft). Captured by usedby on 2026-10-07.

- Company: [Salesloft](https://www.usedby.ai/companies/salesloft.md)
- Tool: [QA Wolf](https://www.usedby.ai/tools/qa-wolf.md)
- Industry: [Sales Tech & CRM](https://www.usedby.ai/companies/industry/sales-tech-crm.md)
- Teams: QA, Engineering

## What the story says

Salesloft uses QA Wolf to build, maintain and run its automated end-to-end regression tests, replacing earlier no-code, developer-driven and manual testing approaches. The tests run in parallel on every pull request.

Summary written by usedby from the source page, in English. The figures are those of QA Wolf and Salesloft, not ours.

> Salesloft estimates that it would take up to seven full-time QA engineers to provide the same service that QA Wolf provides today—to build, maintain, concurrently run, and respond to failures within strict SLAs.

- **300+**: “Executing 300+ tests in parallel on every PR.”
- **45 minutes**: “With QA Wolf, those tests can be completed in less than 45 minutes and they can be run on every PR.”

> QA Wolf’s parallel run infrastructure lets us run the test suite so much faster than we could ever have run them on our own.
>
> Ann Rumney, Staff QA Program Manager

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $750K is printed word for word on the page, near the name of Salesloft.
- Checked: the passage quoted above is copied word for word from the page, near the name of Salesloft.
- Checked: Salesloft uses QA Wolf. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/salesloft-qa-wolf · How we check: https://www.usedby.ai/methodology