Original listing text, shown exactly as published by the company.
➡️ What you'll do
- Own the ML product roadmap end-to-end: Define what we build, why, and in what order — gathering insights from engineering, data science, and business teams to develop a prioritized strategy that addresses real customer needs.
- Drive key ML product initiatives: Lead the definition and design of ML solutions for products like Attachment Matcher, Transaction Categorizer, and Cashflow Management — from discovery through delivery.
- Collaborate across the full stack: Work with data scientists, engineers, and business stakeholders to ensure successful implementation of ML capabilities that drive measurable business value.
- Own your decisions and communicate them clearly: Articulate the rationale behind priorities and engage key stakeholders — including customers, product, and executive teams.
- Continuously improve through data: Monitor and analyze the performance of ML models and products, making data-driven recommendations to raise the bar.
➡️ What we're looking for
- Product management experience with a data/ML focus: You have proven experience in product management, with concrete examples of ML or data products you took from 0 to 1 or significantly scaled. You think in outcomes, not features.
- Technical fluency in ML: You have a solid grasp of machine learning concepts and applications, allowing you to collaborate effectively with technical teams and translate complex ideas into product requirements.
- Strong stakeholder management: You excel at building relationships with diverse stakeholders and communicating complex technical concepts to non-technical audiences.
- Analytical thinking: You make data-driven decisions that balance customer needs with business objectives — and you're comfortable with hard trade-offs.
- Strategic vision: You can develop a compelling product vision and roadmap that aligns with company goals and delivers measurable impact.
➡️ What we can offer you
- A domain being reshaped by AI: ML is transforming financial services — from expense categorization to cashflow forecasting. You'll build products at the frontier of what's possible, not maintain existing ones.
- Squad autonomy as the default: You own your roadmap and ship without red tape. No approval chains, no waiting on committees.
- Real impact at scale: Your work will directly affect how 600,000+ SMEs manage their finances every day.
- Cross-functional collaboration: You'll sit at the intersection of product, data science, and engineering — with a team that values craft and moves fast.
➡️ About your future manager
You'll report to Daniele, VP Data, who brings deep expertise in scaling data organizations at high-growth companies. Daniele is passionate about building data-driven cultures and has a track record of developing analytics leaders. He'll provide you with the strategic context and support needed to establish AI Product as a key strategic function at Qonto, while giving you the autonomy to shape our product vision.
