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.

If you thrive at translating requirements of the financial reporting industry into a cutting edge AI product we’d love to meet you.