Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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У роли есть понятная зона ответственности и содержательная работа с AI, но она объединяет продуктовую аналитику, руководство QA и управление проектами, хотя требуемый опыт сравнительно небольшой.
Широкая зона ответственности
AI в работе
Понятная ответственность
Гибкость и развитие
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quality Product Analyst (AI): Owning and improving quality signals across lessons and client communication with an accent on automated reviews, engagement metrics, tutor quality, and AI-powered testing. Focus on designing and validating quality systems, leading manual QA and analytics projects, and integrating quality metrics into tutor rating and churn prediction.
Location: Belgrade office or remote
Company
hirify.global operates an international education product with lessons, tutors, and client communication systems.
What you will do
Own the quality-signal system across lessons and client communication, including automated lesson and call reviews, engagement metrics, and tutor quality signals.
Design, test, and improve quality signals and evaluate the performance of automated review systems.
Use AI and automation tools to test hypotheses quickly before handing validated solutions to analysts for scaling.
Run joint quality projects with the Analytics team, setting priorities, scoping major tasks, and driving deadlines.
Lead the manual QA team, rebuild its processes, define required skills, and coordinate manual and automated reviews.
Embed quality metrics into Tutor Rating, churn prediction, Product, and other company-wide systems while maintaining optimal cost.
Requirements
2–3 years of experience after university in consulting, technology, operations, or data-heavy finance.
Experience managing projects and people.
Data-driven decision-making based on forming hypotheses, testing them, and iterating.
Strong analytical foundation and ability to work closely with analysts and data engineers.
Daily practical use of LLMs and automation tools.
Bias toward action, speed, and flexibility in a fast-changing environment.
English at C1+ level.
Nice to have
Degree in mathematics, statistics, economics, engineering, or finance.
Experience in EdTech.
Teaching experience.
Culture & Benefits
International collaboration in a diverse team.
Flexible working schedule.
Choice of working from the Belgrade office or remotely.
Continuous learning and career development support.
Competitive compensation package.
Hiring process
HR interview, Hiring Manager interview, Analytics team interview, recommendation gathering, and offer.
Apply by completing the provided form; if no message arrives within 10 days, the application will not proceed.
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