AI Product Manager (m/f/d)

Intro As AI Product Manager you will own the what and why of our AI-driven audit features: from ideation through launch through continuous optimization. You translate domain nuance — financial statements, sustainability disclosures, material-misstatement risks — into a prioritized roadmap of user-facing AI experiences. You define success metrics, scope experiments, and align cross-functional teams (engineering, UX, compliance, sales). Tasks Strategy & Roadmap: Develop and own the AI product vision for Notes Auditor’s audit-grade features (evidence extraction, narrative scoring, compliance checks). Domain Translation: Turn complex accounting and audit standards into clear product requirements and acceptance criteria. Cross-Functional Leadership: Partner with LLM Engineers, designers and auditors to deliver high quality automation. Metrics & Feedback: Define KPIs and run experiments to validate value and reduce hallucinations. Customer Engagement: Conduct interviews and co-innovation sessions with audit teams to surface pain points and validate prototypes. Compliance Oversight: Embed responsible-AI practices—bias testing, PII redaction, traceable audit trails—into feature designs. Requirements Must Haves: Professional Expertise: 5+ years in product management with a solid background in Finance, Audit or RegTech. You’ve shipped compliance or financial-reporting software. Domain Fluency: Deep understanding of financial-reporting standards (IFRS, GAAP), audit methodologies and sustainability regulations (ESRS). AI Literacy: Hands-on familiarity with LLM-based features—prompt design, RAG, evaluation metrics. You can debate trade-offs with engineers and spot feasibility gaps. Data-Driven Mindset: Comfortable defining experiments, analyzing both quantitative (usage, cost/token, error rates) and qualitative (user interviews, NPS) feedback. Communication & Leadership: Excellent at stakeholder alignment—evangelizing roadmap, negotiating scope, driving consensus across product, engineering, sales and compliance. Nice to Haves: Experience with prompt-engineering frameworks (LangChain, LlamaIndex) or fine-tuning (LoRA, adapters). Background in sustainability disclosure or ESG reporting workflows. Familiarity with CI/CD for AI features , telemetry tooling and incident response for model drift or data-leak scenarios. Benefits Growth, impact and real ownership : Opportunity to have significant ownership. Work on hard problems in a high octane environment. Attractive conditions : 30 days’ vacation, competitive salary, and a monthly voucher. Top team and flexible work: Work with a curious, international, and driven team that celebrates wins and learns from experiments. Hybrid setup with the option to work remotely part of the week, plus regular team events. Flat hierarchy, forward-thinking, no-BS environment; we value innovation and ruthless prioritization. Closing If you thrive at translating requirements of the financial reporting industry into a cutting edge AI product we’d love to meet you.