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 Auditors 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 practicesbias testing PII redaction traceable audit trailsinto feature designs.
Requirements
Must Haves:
- Professional Expertise: 5 years in product management with a solid background in Finance Audit or RegTech. Youve 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 featuresprompt 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 alignmentevangelizing 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.
If you thrive at translating requirements of the financial reporting industry into a cutting edge AI product wed love to meet you.