Recruiting · Production
Cloudflare streamlines talent acquisition at scale with Eightfold AI
The problem
As a hypergrowth global tech company, Cloudflare receives over a million job applications per quarter but had limited talent acquisition resources to manage that volume and fill critical roles quickly and efficiently.
Workflow diagram · grounded in source
1
High-volume application intake
trigger
“Cloudflare receives an overwhelming number of applications —upward of a million per quarter”
2
AI-powered talent sourcing
ai_action
“streamlined its talent acquisition strategy to efficiently source and hire the most skilled and diverse talent at scale”
3
Diversity metrics reporting
output
“provides clear data around the diversity of the pipeline with its diversity metrics”
Reported outcome
With Eightfold AI, Cloudflare streamlined its talent acquisition strategy to efficiently manage over a million applicants per quarter, reduce time to source and hire, meet diversity goals, and reduce bench time for professional services team members.
Reported metrics
Applicants managed per quarter1 million
Bench time of professional services team membersReduced
Time to source and hire candidatesReduced
Reported stack
Eightfold AI
Source
https://eightfold.ai/customers/customer-stories/cloudflare-streamlines-talent-acquisition-at-scale/
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
With Eightfold AI, Cloudflare streamlined its talent acquisition strategy to efficiently manage over a million applicants per quarter, reduce time to source and hire, meet diversity goals, and reduce bench time for pr…
What tools did this team use?
Eightfold AI.
What results were reported?
Applicants managed per quarter: 1 million; Bench time of professional services team members: Reduced; Time to source and hire candidates: Reduced (source-reported, not independently verified).
How is this recruiting AI workflow structured?
High-volume application intake → AI-powered talent sourcing → Diversity metrics reporting.