
At dnl, we're passionate about the transformative power of AI technology. We're not building products in isolation - we're collaborating to make sure that AI innovation works for those who need it,…

At dnl, we're passionate about the transformative power of AI technology. We're not building products in isolation - we're collaborating to make sure that AI innovation works for those who need it,…
Headquarters: Berlin, Germany
Core product focus: AI software for auditors (ai/checklist, ai/numbers)
Founding: Spin-off from Technical University of Berlin (founded 2019)
Recent financing: €2M financing plus seven-figure public support
Audit and reporting automation for auditors, including regulatory audits, financial statement reviews, M&A due diligence and compliance.
2019
Enterprise software / Audit technology
€2M
Announced additional financing strengthening lead investor commitment
Seven-figure support
Non-dilutive funding support from regional/EU programmes
“Cannonball has been listed as lead/anchor investor since the 2021 seed round”
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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.
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 :
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.
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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.