Finance Systems Intern (AI)

Location: Berlin, Germany

Company

hirify.global builds agentic AI for enterprise customer conversations and has powered more than one billion interactions for global brands.

What you will do

• Set up and amend customer subscriptions from signed contracts and run pre-billing checks on billing runs and invoices.
• Investigate rating, pricing, and master-data errors to ensure accurate customer billing.
• Maintain SAP Subscription Billing products, rate plans, pricing elements, and billing profiles; configure and test changes before production.
• Build NetSuite saved searches, reports, and data imports while supporting month-end close and reconciliations.
• Maintain data consistency across Salesforce, SAP, and NetSuite; create mismatch reports and document reproducible issues, test cases, change logs, and audit evidence.
• Write SOPs, process maps, and user guides, then automate a manual finance process with scripts, integrations, or AI tools as an internship project to present at the end.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Information Systems, Business Informatics, Industrial Engineering, Accounting, Finance, Computer Science, or a related field for the full internship duration.
• Available full-time for a 6-month internship in Berlin, starting as soon as possible.
• First exposure to an ERP, billing, or CRM system such as SAP, NetSuite, Salesforce, Zuora, or Stripe Billing through coursework, a university project, an internship, or a working-student role.
• Strong spreadsheet skills and willingness to learn to read JSON payloads and API error messages.
• Systems mindset, persistence in tracing issues to their root cause, and precision when handling financial data.
• Fluent written and spoken English, with confidence to ask questions and communicate facts clearly.

Nice to have

• SQL or scripting experience with Python, Google Apps Script, n8n, or Zapier.

Culture & Benefits

• Dedicated mentor and real project work from the first weeks.
• Ownership, direct feedback, fast execution, and meaningful contribution from day one.
• Opportunity to work on enterprise-grade conversational AI and complex finance-system challenges.
• Commitment to data protection, GDPR, and ISO 27001 compliance.
• Equal opportunity workplace.

Hiring process

• Talent Acquisition screening, followed by a Hiring Manager interview.
• Technical interview(s), followed by a Bar Raiser interview.