Staff Product Manager [Machine Learning expertise]

Role Summary

Join us as a Staff Machine Learning Product Manager to enhance Qonto's customer experience through innovative solutions. You'll drive the maturity and scalability of our ML/AI capabilities, addressing concrete business problems while fostering innovation.

Responsibilities

• 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 — 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 models and products, making data-driven recommendations to raise the bar.

Requirements

• Product management experience with an ML focus: You have proven experience in product management, with concrete examples of ML products you 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 work closely with Sophie , Manager of the AI Lab. Sophie has led cross-functional teams through the full product lifecycle at both fast-growing startups and established tech companies. She partners directly with Product and Tech leadership to align the AI roadmap with Qonto's strategic goals.
• Her approach: give engineers real ownership, create space for experimentation, and empower the squad to adapt their ways of working in pursuit of real impact.
• At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along.
• By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.
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On average, our hiring process lasts 20 working days . More information on our candidate journey here

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