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SkillitriX
Skillitrix engineering team collaborating on interview evaluation systems

About Skillitrix

We built the AI interview coach we wished we had during our own job searches.

Between the three of us, we have sat on both sides of the table — as candidates who lost great offers to unstructured answers, and as hiring managers watching talented engineers struggle under exam pressure.

Core principles

What we believe

01

Honest rubric feedback beats generic praise

A tool that tells you an answer was fine when structure was lacking costs you the offer. We provide exact, line-by-line feedback so you enter the room prepared.

02

Interviewing is a skill, not an innate trait

The gap between a strong candidate and an offer is usually structure, technical depth, and composure — all of which compound quickly with deliberate practice.

03

High-quality coaching should be accessible to all

Traditional mock interview coaching runs at hundreds an hour. A free, accessible plan with real hiring rubrics ensures merit decides outcomes, not budget.

Leadership

The team

AR

Anika Rajan

Co-founder, CEO

Engineering manager at Google for six years on roughly 800 interview panels. Observed that preparation and answer structure, not raw ability, decided most offers.

DO

Daniel Osei

Co-founder, CTO

Infrastructure engineer at Meta, then three years building evaluation AI systems. Owns the live voice evaluation pipeline and company rubric models.

SM

Sofia Mendez

Head of Product

Previously Product at LinkedIn and Notion. Focuses on actionable diagnostic scorecards — the part of the platform that changes candidate behavior.

We are hiring

Join the Skillitrix team

Building AI evaluation systems that help candidates land their dream roles.

jobs@skillitrix.com
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