Working Student – Technical Onboarding (B2B SaaS)

TL;DR

Working Student – Technical Onboarding (B2B SaaS): Support technical onboarding of new enterprise customers by preparing, mapping, and verifying data migrations into an end-to-end SaaS platform with an accent on ERP/CSV/SFTP data handling and onboarding support workflows. Focus on gap analyses of customer data structures, tenant/user configuration, and feeding onboarding insights back to Product to shape what gets built next.

Location: Berlin (hybrid)

Company

hirify.global builds an end-to-end SaaS platform for intelligent packaging management for regulated industries.

What you will do

• Support technical onboarding by preparing, mapping, and verifying data from ERP systems, CSV/Excel files, and SFTP.
• Run gap analyses of customer data structures and ensure clean, complete migration into the SaaS platform.
• Handle onboarding-phase support: respond to emails, triage tickets, and involve Engineering or packaging specialists when needed.
• Support tenant/user configuration and prepare onboarding workshops and training sessions.
• Contribute to Packademy by building training content, formats, and self-serve resources.
• Provide onboarding feedback to Product to influence future product development.

Requirements

• Studying Business Informatics, Computer Science, Data Science, or a similar field with clear IT affinity.
• Confident working with data in CSV/Excel and understanding how systems connect.
• First exposure to SFTP, ERP, or APIs is a plus.
• Ability to analyze datasets, spot inconsistencies, and resolve issues independently.
• Clear and direct communication with both internal and external stakeholders (e.g., IT managers, engineers).
• Fluent in German and good English and based in Berlin (or nearby).

Culture & Benefits

• Ownership from day one with real responsibilities and close collaboration with a founding team.
• Hands-on learning in SaaS onboarding, data integration, and customer communication.
• Hybrid working in a Berlin office (Prenzlauer Berg).
• Flexible hours around studies: 15–20 h/week, starting as soon as possible.
• Fair compensation and a clear path for growth and development.
• Direct impact helping enterprise customers go live on the platform.

Hiring process

• Application review and assessment using AI tools for parts of the process.
• Human-led final hiring decisions.