Quality Operations Manager
Traya
Job Description
Quality Operations Manager
at Traya Health
Experience- 8 to 10 years in Quality Operations
About Us
Traya is an Indian direct-to-consumer hair care platform that provides a holistic treatment
for individuals experiencing hair loss. Through personalized consultations, we identify the
root cause of hair fall using a combination of Ayurveda, Allopathy, and Nutrition. Our unique
diagnostic platform, combined with medically trained hair coaches and proprietary tech,
ensures customers receive customized solutions delivered right to their doorstep — and the
ongoing guidance they need to stay on track.
Founded by Saloni Anand (techie-turned-marketeer) and Altaf Saiyed (Stanford GSB
alumnus), Traya’s mission is to de-stigmatize hair loss, address its emotional and
psychological impact, and make effective treatment accessible to all.
Our Vision
We aim to create a global awareness movement around hair loss while delivering a
scientifically proven, holistic solution that combines the best of three sciences.
Roles and Responsibility
- Own the Quality Management System (QMS) across all customer support channels
- Own quality reporting, dashboards, and leadership reviews with clear insights and recommendations
- Design and continuously improve QA scorecards, evaluation parameters, and audit methodology
- Drive audit coverage strategy, sampling methodology, and audit effectiveness
- Lead calibration programs to ensure scoring consistency across QA, Operations, and Training teams
- Identify quality gaps through audits and convert findings into actionable improvement plans
- Establish governance for critical errors, compliance adherence, and quality standards
- Build robust feedback and coaching mechanisms to improve agent performance
- Analyze quality data to identify recurring defects, behavioral trends, and process gaps
- Track the effectiveness of coaching and quality interventions through measurable improvements
- Own quality reporting, dashboards, and leadership reviews with clear insights and recommendations
- Improve QA productivity through automation, AI-enabled quality monitoring, and process optimization
- Mentor and develop QA Team Leads and Quality Analysts while driving high audit accuracy and calibration alignment