Staff Product Manager [AI Products expertise]
Навыки
- Решения на данных
- Лидерство
- LLM
- Machine Learning
- Роадмап
- SOLID и паттерны
- Работа со стейкхолдерами
Ещё 1
- Временные ряды
О компании и продукте
- 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.
- 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.
- On average, our hiring process lasts 20 working days. More information on our candidate journey here
Задачи
- Own the AI 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 AI product initiatives: Lead the definition and design of AI 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 LLM/AI 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
- You will work closely with Daniele Garbarino, our VP Data, to support AI products developments that significantly impact our 600,000+ customers' financial management experience
Требования
- Product management experience with a LLM/AI focus: You have proven experience in product management, with concrete examples of ML or AI 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
- Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here)
Условия
- 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
- Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries
Паспорт вакансии
История публикации
Появилась в Вакандии27 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 27 дней назад
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ГрейдLeadвычитано из текста вакансии
Формат работыГибрид
ГеографияПариж, Франциявычитано из текста вакансии
Зарплата≈ 21 299 USD в месяцнаша оценка, в вакансии не названа
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- leverОсновная публикация · 2025-03-20
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Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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