обновлено 8 дней назад
Data Operations Student (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Student (AI) (SQL/Monitoring): Monitoring system performance and resolving operational incidents for an AI-driven customer-value platform with an accent on incident prioritization, availability, and service-level consistency. Focus on investigating urgent issues, creating on-call playbooks and reports, and coordinating resolutions with R&D, Delivery, and Customer Partner teams.
Location: Tel Aviv, Israel; on-site shifts including nights and weekends
Company
develops AI-powered customer value predictions and prescriptive strategies to help growth teams acquire, engage, and retain valuable customers.
What you will do
- Monitor system performance, availability, and operational standards.
- Flag, investigate, and resolve urgent incidents, escalating complex issues when needed.
- Prioritize incidents by urgency and impact to support timely resolution.
- Collaborate with R&D, Delivery, and Customer Partner teams on operational issues and process improvements.
- Implement on-call playbooks, monitoring processes, and performance reports to maintain service levels and meet SLAs.
- Prepare regular updates on system performance and incident management.
Requirements
- Availability for 2–3 shifts per week, mainly nights and weekends.
- High proficiency in spoken and written English.
- Currently pursuing a technical Bachelor’s degree in Industrial Engineering, Information Technology, or a related field, with approximately three semesters remaining.
- Proficiency in SQL; the ability to write complex queries is advantageous.
- Strong problem-solving, prioritization, communication, and multitasking skills.
- Ability to use AI tools to investigate issues independently, find solutions, and optimize workflows.
Nice to have
- Python scripting and Git experience.
- Experience with logs and monitoring systems.
- Experience writing complex SQL queries.
Culture & Benefits
- Cross-functional collaboration with R&D, Delivery, and Customer Partner teams.
- Work includes a structured mix of night and weekend shifts.
- Opportunity to work with AI-based customer value prediction and operational monitoring systems.
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