Lumen Tech Hires

Lumen Tech Hires doubles candidate pipeline

Lumen Tech Hires, a fast-growing agency placing product and platform engineers globally, needed faster shortlists without sacrificing signal quality.

Demo case study

This is an illustrative scenario based on archetypal hiring workflows: not a real customer or verified testimonial.

Increase, Improvement: 2×Pipeline volume

Decrease, Improvement: 58%Shortlist time

Increase, Improvement: +34Sourced per role

In their words
“Natural-language search over our own database was the unlock. Consultants find lookalike candidates in minutes, not days.”
Aisha Khan, Managing Partner, Lumen Tech Hires

The challenge

Lumen's consultants juggled 18 concurrent searches across three time zones. Boolean searches in legacy tools returned stale profiles, and consultants rebuilt shortlists from scratch for every similar role.

How Mainder helped

People Finder unified multi-source discovery with social signals, while AI Search let consultants query their database in natural language. Similar-role templates reused ranked pools instead of restarting searches.

Outcomes

  • Active pipeline volume per consultant doubled within one quarter.
  • Time to produce a client-ready shortlist dropped 58%.
  • Average sourced candidates per role increased by 34 without extra licenses.

Timeline

Started

April 1, 2025

6 months

Results by

September 20, 2025

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