About the Customer
Emumba is a software services company that partners with startups and enterprises to design, build, and scale software products. Its teams work closely with customers, often embedding within client-facing delivery teams to ship and support production systems.
Emumba employs 350+ engineers across multiple geographies and hires approximately 80 engineers globally each year across engineering and business functions.
Because new hires are typically deployed directly into active delivery teams, hiring quality is critical. At the same time, delivery commitments leave little room for slow or fragmented hiring processes, making speed, consistency, and decision confidence equally important.
The Challenge
We were spending more time scheduling and repeating the same first-round interviews than actually evaluating candidates. By the time we reached good applicants, they had already accepted other offers.
Seven weeks. That was Emumba's average time to hire, not because candidates were hard to find, but because the interview process itself had become a coordination problem.
Senior engineers were the linchpin of early-stage evaluation. Their judgment on technical depth was essential, but their time was already committed to delivery. Getting them into screening calls meant competing with sprint commitments, client timelines, and a dozen other priorities. The calendar scheduling alone added days, sometimes weeks, to each cycle. And when the wait stretched long enough, candidates accepted other offers and the cycle started over.
The evaluation itself had its own gaps. Interview approaches varied across teams and interviewers. Feedback quality was inconsistent. Without a shared structure, there was no reliable way to compare candidates across roles or make confident early calls on who to advance.
The specific friction points:
- 1Extended time to hire driven by delays at the early interview stage.
- 2Senior engineer availability as a hard ceiling on screening capacity.
- 3No consistent interview structure across teams or roles.
- 4Incomplete or loosely structured candidate feedback.
- 5Downstream correction costs when early-stage evaluation missed the mark.
Emumba needed a way to move faster without cutting corners, and to do it without adding more to the plates of its most senior engineers.
The Solution
Emumba started with InterWiz on frontend engineering roles and expanded from there: backend, DevOps, QA, HR, Marketing. The rollout was phased specifically to let hiring teams adopt the platform within their existing workflows rather than around them.
InterWiz replaced manual screening interviews and the first in-depth technical interview, while keeping human decision-makers fully responsible for final hires. The platform took on:
- AI-based resume screening, where recruiters define the criteria and InterWiz scores resumes automatically, significantly reducing manual sift time.
- Live coding assessments in JavaScript, Python, and other relevant stacks.
- Analytical and role-specific evaluations that produce objective measurements of the competencies that matter.
- Standardized interview reports with strengths, gaps, and clear hiring recommendations for every candidate.
- Candidate rankings and side-by-side comparisons to support data-backed decisions over time.
- Interview recordings that allow senior engineers to review evaluations asynchronously, with no scheduling required.
Emumba also connected InterWiz to its ATS, PinPoint, through a two-way integration. Recruiters schedule InterWiz interviews and receive structured PDF reports without leaving PinPoint. Hiring teams access complete candidate profiles and evaluation histories inside InterWiz. The two systems work together rather than requiring teams to move between them manually.
The Result
Time to hire dropped from seven weeks to three, a 60% reduction, without any loss in evaluation depth or decision confidence.
The broader impact:
- Less dependency on senior engineer availability at early interview stages.
- Fewer mis-hires, driven by objective candidate comparisons rather than subjective calls.
- Better tracking of historical candidate evaluations across roles and hiring cycles.
- Consistent, structured feedback reports that hiring managers and teams could actually use.
InterWiz has made our hiring process super simple and automated. We’ve cut our time to hire by 60%, and the platform helps us make fair and informed decisions. It’s been a game-changer for us.
Future Plans
Building on these results, Emumba plans to extend its use of InterWiz to initial phone-based AI screenings across all roles.
This next step will standardize the very first stage of hiring, ensuring early signals are captured consistently before candidates move further into the process. By handling initial screenings through InterWiz, the team aims to reduce manual coordination even further while preserving fairness and structure at scale.
The focus going forward is to keep hiring fast, consistent, and predictable, without increasing operational load as hiring volumes grow.
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