The role covers day to day accounting for a growing company with several entities: processing supplier invoices and payments, booking accruals, prepayments and fixed assets, reconciling balance sheets, and helping close the books each month. A strong candidate has real general ledger and accounts payable experience, working knowledge of HGB or IFRS, and a solid grasp of VAT and invoice rules. They also take ownership, communicate clearly in English, and help colleagues with expense and card questions.
How it fits the AI era
Much of the routine work, such as invoice coding, matching and exception handling, can be sped up by automation and AI tools, and this role is expected to improve those setups over time. What stays human is checking the machine's output, deciding where the risk is highest, knowing when to ask a tax or accounting expert, and keeping evidence that auditors and regulators can trust.
How it builds AI experience
The company sells a workflow automation platform, so the accountant would likely get to use it on their own finance processes, alongside AI assisted coding in a spend management tool. Someone preparing for this role could sign up for the free cloud version, build a small workflow such as sorting invoices or flagging odd expenses, and practice checking its results against the books.
Worth showing
- GL and AP/P2P experience
- Month end close ownership
- HGB or IFRS and VAT
- Automation or AI workflow example
- Reconciliation accuracy and controls
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
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Accountant Arbeitgeber: present of AI
Adaptyv Bio ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, eine Finanzabteilung von Grund auf neu aufzubauen und dabei innovative Technologien zu nutzen. Mit einem flexiblen hybriden Arbeitsmodell in Lausanne fördern wir eine Kultur des Vertrauens und der Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen bieten, um Ihre Fähigkeiten in der Automatisierung und im Finanzmanagement weiterzuentwickeln. Hier haben Sie die Chance, an der Spitze der KI-gestützten Forschung zu arbeiten und einen echten Einfluss auf die Zukunft der Wissenschaft zu nehmen.