Customer Support Engineer (AI)

Location: Onsite in Netanya, Israel. Full-time shift-based work across 5 days per week, including possible day, evening, night, Saturday, and Sunday shifts; weekday off-days apply when weekend shifts are scheduled.

Company

hirify.global is a technology startup building responsible AI systems for demand prediction and real-time commercial decision intelligence, initially deployed in global aviation.

What you will do

• Maintain and monitor data pipelines supporting data science workflows and develop production schedules.
• Identify potential production issues, troubleshoot them proactively, and help ensure delivery within agreed SLAs.
• Communicate production delays and technical issues to stakeholders and customers, maintaining accurate records of schedules, bugs, and project status.
• Coordinate with Data, Data Engineering, product, R&D, and product management teams to complete tasks and resolve customer issues.
• Provide frontline technical support to platform end-users and deliver effective solutions for data-related and software problems.

Requirements

• Bachelor’s degree in computer science or information-related studies.
• 1–2 years of experience providing technical support, including Tier 1/2 data support.
• Experience with Python and SQL.
• Experience with pipeline orchestrators, preferably Dagster or Airflow.
• Strong troubleshooting and problem-solving skills with attention to detail.
• Excellent service, communication, and interpersonal skills.
• English at B2/C1 level.
• Ability to work independently and collaborate effectively in a team environment.
• Ability to work flexible hours, including evenings and weekends when required.

Nice to have

• Experience in aviation, travel tech, or high-frequency dynamic pricing environments.
• Experience with support ticket systems such as HubSpot or Zendesk.

Culture & Benefits

• Technology startup environment with work on AI systems.
• Employment contract.
• Training and integration budget.
• Shift schedule covering 5 days per week, including night shifts and weekends, arranged with the team at least one week in advance.