SaaS: An Engineering Manager and a 4-Person Pod, Hired Without Re-Testing Skills

K.B had promoted a senior engineer into an Engineering Manager role, but six months in, delivery had slowed and the promoted engineer asked to return to an individual-contributor track. K.B then engaged an executive search firm, which took eight weeks to produce a single EM candidate who declined the offer over compensation. With the EM search stalled, K.B also needed to build out the pod that manager would lead: a Backend Engineer, a DevSecOps Engineer, a Data Engineer, and a QA Engineer - five hires in total, and no appetite for five more retained searches.

K.B had already worked with three engineers matched by GTEMAS through an earlier IT Staff Augmentation engagement, all still on the team a year later - so when the EM search stalled, K.B came back to the Talent Ecosystem for the whole pod, not just the leadership role. GTEMAS matched candidates for all 5 roles in parallel, each with a verified Skill Profile covering the exact competency the role needed. Because K.B already trusted how the Talent Ecosystem assesses skill, most interviews skipped a second technical round entirely and focused on team and working-style fit. K.B interviewed 2-3 pre-matched candidates per role and made every final call themselves. Onboarding: GTEMAS supported offer negotiation and the transition for each hire, then stepped back - all five joined K.B's own team and payroll directly.

Sprint delivery stabilized within the new EM's first month. K.B's VP Engineering noted the real time savings wasn't just the shortlist speed - it was that a year of prior results with GTEMAS-matched engineers meant K.B's own team didn't need to re-verify technical competence this time, only whether each hire would work well with the people already there.