
dnl.ai automates extraction of key figures from financial and sustainability reports to reduce manual auditing work. It uses machine learning and natural language processing via its Notes Auditor…

dnl.ai automates extraction of key figures from financial and sustainability reports to reduce manual auditing work. It uses machine learning and natural language processing via its Notes Auditor…
What they do: AI-first SaaS that automates extraction and audit of figures from financial and sustainability reports (Notes Auditor / audit tooling).
Customers: Targets auditors and financial/compliance teams; site claims 5,000+ auditors use the platform.
Business model: B2B SaaS with human-in-the-loop workflow emphasizing explainability and traceability.
Founded: 2019 (spin-off from Technical University of Berlin)
Funding: Multiple early rounds totalling ~USD 3.26M; lead investor Cannonball Capital (announced seed and €2M follow-on).
Audit automation, financial statement analysis, and ESG/sustainability report examination.
2019
Data and Analytics
€1,000,000
Announced €1M seed equity financing to expand team and develop technology.
€2,000,000
Company-reported €2M financing; Cannonball described as continuing lead investor.
“Cannonball Capital continued as lead investor across announced rounds”
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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.