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Case study · IT Services

Ngenux doubled its team with candidates in 48 hours

Ngenux had to double headcount to take on the client work in front of it, and the local talent pool was already exhausted. We took the briefs and ran the search, so contract hires closed in 2 weeks and full-time hires onboarded in 4.

Ngenux's AI and data-driven services website
Ngenux's AI and data-driven services website
24-48 Hours to First Profiles
2 Weeks to Close Contract Hires
4 Weeks to Onboard Full Time
1.5+ Years Retention
The Challenge

Double the headcount, without slowing delivery

  • Two-week hiring windows
  • Full stack and data roles
  • Client demand surge
  • Exhausted local pool

Ngenux had more client work than its compact team could deliver. Doubling the team was the only way to take it on, and the hiring had to happen without pulling engineers off live projects.

The local talent pool was exhausted and client deadlines were fixed. Ngenux did not need a longer list of applicants, they needed people who matched the brief and could start.

How We Did It

Screened candidates in 24 to 48 hours

Ngenux did not need more applications. We took each role brief, ran the search and screening ourselves, and covered both the contract roles and the full-time ones on the same pipeline.

  1. 1

    Matched to the brief

    We worked from Ngenux's role briefs and screened against them before anything reached their team, so their hiring managers reviewed shortlists instead of resume piles.

  2. 2

    Candidates in 24 to 48 hours

    Interview-ready profiles reached Ngenux within 24 to 48 hours of a brief landing with us. Contract hires were closed in 2 weeks and full-time hires onboarded in 4.

  3. 3

    Contract and full time together

    Ngenux mixed short contracts with permanent hires as client demand moved, and we ran the sourcing and screening for both rather than splitting them across processes.

In Their Words

We've always found quality talent from Flexiple and the talent has stayed with us too.

If we compare Flexiple with any other partner we are working with, the selection rate for Flexiple folks is really high. We do a screening call with all the candidates recommended by others, but do not do it for Flexiple as their quality is just so good.

Navya G Kamath

Navya G Kamath

People Leader, Ngenux

Who We Placed
  • Ashok K

    Ashok K

    Software Engineer

  • Parnab Das

    Parnab Das

    Data Engineer

The Impact

Hires that were still there 1.5 years on

Ashok K joined as a software engineer and Parnab Das as a data engineer, both onto client work rather than weeks of ramp-up.

Retention is the number that settles the question: the full-time hires we placed were still at Ngenux 1.5 years later.

Ngenux kept the pipeline open with us for both contract and permanent roles, so their leads spent their time on client delivery instead of screening candidates.