Senior AI Product Manager – Automation

November 25

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Finmatics

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SaaS • Artificial Intelligence • Finance

Finmatics is an Austrian software company that provides an AI-powered bookkeeping platform to automate invoice and receipt processing. Its AI extracts data from paper, PDFs and e-invoices, generates booking proposals, supports complex split bookings, and integrates with accounting systems like DATEV, SAP, Microsoft Business Central, BMD and RZL. Finmatics targets accounting firms and businesses with a SaaS solution that reduces manual effort and errors, improves efficiency (up to ~70% time savings claimed), and offers ISO 27001 and EU-hosting compliance for secure accounting workflows.

51 - 200 employees

Founded 2017

☁️ SaaS

🤖 Artificial Intelligence

💸 Finance

📋 Description

• Increase the touchless experience: You systematically develop features that drive more touchless bookings — i.e., fully automated processing without user interaction. • Close automation gaps: You analyze data in depth, identify where automation fails, and design simple, effective solutions with the team. • Measure experiments: You define hypotheses, build tests, and measure clear impact on our North Star metric — Touchless Bookings. • Write AI evaluations: You define datasets, metrics, and pass/fail criteria. • Improve explainability: You make it understandable for users when and why automation works — and how data quality can be improved. • Work close to customers: You conduct regular interviews and shadowing sessions with tax advisors and accounting teams. You understand typical use cases in detail and translate them into automation logic. • Shape product strategy: You prioritize based on impact and feasibility, make quick, well-founded decisions, and keep scope lean.

🎯 Requirements

• At least 5 years of experience in B2B SaaS product management with a strong data focus. • Hands-on experience building or optimizing AI or automation products. • Ideally experience with evaluations, prompting, or user guidance. • Strong analytical skills. • You validate hypotheses with data and explain complex topics clearly. • Technical understanding of LLMs and of working with engineering and data science teams. • Excellent German (for customer contact) and very good English (for internal communication). • Nice to have: accounting knowledge (DATEV, posting of receipts, etc.). • Experience with data warehouses (Google BigQuery) and data visualization (Looker Studio).

🏖️ Benefits

• Central responsibility for one of the company's most important product areas: Automation. • Direct impact on retention and, consequently, company success. • An experienced product trio consisting of Engineering, UX & Data Science. • Flat hierarchies, open communication, genuine teamwork. • Option for fully remote work within Austria or Germany. • Regular company and team events.