Teams at Karat

Design, write, test, review, and improve advanced technical interview content, including complex coding exercises, debugging challenges, engineering scenarios, and reference solutions. Use AI-assisted development tools, candidate performance data, and interviewer feedback to maintain technical accuracy, fairness, and difficulty calibration. Lead peer reviews, resolve underperforming content, collaborate on format decisions, and help establish development standards and documentation. The role requires remote work overlapping with U.S. business hours and is limited to candidates residing in Bengaluru.

Own the health and performance of technical interview content through dashboards, quality metrics, monitoring systems, AI-powered analysis, root-cause investigations, and corrective actions. Lead continuous improvement of content fairness, reliability, and consistency, while partnering with Content Development and Architect teams. Communicate risks, trends, recommendations, and performance updates to executives and cross-functional stakeholders. The role requires strong SQL, large-scale analytics, business intelligence, AI automation, and independent strategic problem-solving.

Design, build, test, and validate technical interview content, including coding exercises, debugging challenges, knowledge assessments, and engineering scenarios. Write reference solutions across programming languages, use AI-assisted development tools, conduct peer reviews, and improve content based on candidate performance data and interviewer feedback. Collaborate with Content Architecture to maintain standards, templates, documentation, and assessment quality while working remotely with schedule overlap during U.S. business hours.