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Product Manager - Data

Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.


Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!


Our values:

Customer focus | Prioritize customers in everything you do

Ownership | Own your part, get things done

Teamwork | Make (team)work easy

Mastery | Continuously raise the bar

Integrity | Always do what’s right, and respect people


Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.


Discover the steps we took to create a discrimination-free hiring process.


⭐ Mission 


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

You will work closely with Quentin Guironnet, Head of Product for our Customer Lifecycle domain, to support ML products developments that significantly impact our 500,000+ customers' financial management experience.



👩‍💻🧑‍💻 As a Product Manager - Data at Qonto, you will


• Own the ML product roadmap, gathering insights from various teams to develop a prioritized strategy that addresses customer needs and business objectives

• Support the engineering team in the definition and design of ML solutions for key products like Attachment Matcher, Transaction

• Categorizer, and Cashflow Management that enhance customer experience

• Collaborate with cross-functional teams to ensure successful implementation of ML capabilities that drive business value

• Articulate the rationale behind priorities and engage with key stakeholders, including customers and other teams

• Monitor and analyze the performance of ML models and products, making data-driven recommendations for continuous improvement



🤔 What you can expect:


Team context: You'll join a dynamic team focused on leveraging ML to solve real business problems, working at the intersection of product, data science, and engineering

Qonto Way methodology: Our structured approach to continuous improvement inspired by Lean management principles, fostering a culture of learning and excellence

Impact: Your work will directly enhance customer experience by providing automated labeling and categorization of expenses, as well as insights and forecasting for cash flow

Innovation: You'll be at the forefront of applying ML to financial services, with the opportunity to develop solutions that set new standards in the industry

Collaboration: You'll work closely with data scientists, engineers, and business stakeholders to bring ML products from concept to reality



🤝 About your future manager


Your manager will be Quentin Guironnet, our Head of Product at Qonto. With a background in fintech, innovation, and strategy, Quentin brings valuable expertise in product development and management. He is passionate about creating financial products that truly solve customer problems and is committed to helping his team members grow professionally while delivering exceptional results.



🏅 About You


Product management experience: You have proven experience in product management, with a focus on data-driven or ML products, enabling you to effectively define and prioritize product features

Technical understanding: 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

Stakeholder management: You excel at building relationships with diverse stakeholders and communicating complex technical concepts to non-technical audiences

Analytical thinking: You have strong analytical and problem-solving skills, with the ability to make data-driven decisions that balance customer needs with business objectives

Strategic vision: You can develop a compelling product vision and roadmap that aligns with company goals and delivers measurable business 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.


🎁 Perks


A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.


- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;

- Tailor-made remote work policy depending on the job you apply for and where you live;

- Competitive salary package;

- A meal voucher;

- Public transportation reimbursement (part or global);

- A great health insurance (depending on the country);

- Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;

- A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;

- Monthly team events.


💬 Our hiring process:


- Interviews with your Talent Acquisition Manager and future managers

- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like


We will send you an interview guide so you can best prepare yourself.

On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞



To learn more about us:

Qonto's Blog | Les Échos I L'Usine DigitaleCourrier Cadres



To know how your personal data will be processed during your application process or to request its deletion, please click here.

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Average salary estimate

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$60000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Product Manager - Data, Qonto

At Qonto, we're inviting a Product Manager - Data to join our innovative team dedicated to making banking a breeze for SMEs and freelancers. Our unique online business account merges essential tools like invoicing, bookkeeping, and spend management into one seamless experience. As a Product Manager - Data, you'll play a pivotal role in enhancing our customer journey by leveraging machine learning solutions. You'll collaborate closely with Quentin Guironnet, our Head of Product for Customer Lifecycle, to navigate the exciting challenges of developing ML products that cater to over 500,000 loyal customers. Your responsibilities will include owning the ML product roadmap, engaging with multiple teams to prioritize customer needs, and supporting our engineering squad in crafting cutting-edge ML solutions, such as the Attachment Matcher and Transaction Categorizer. The energy and creativity of your cross-functional team will be crucial as you embark on this journey of innovation, monitoring performance, and making data-driven recommendations to optimize our services. If you're ready to thrive in an environment that embodies customer focus, ownership, and teamwork, we'd love to see you bring your expertise in data-driven product management to Qonto. Join us to make a real impact and create financial solutions that lead the market!

Frequently Asked Questions (FAQs) for Product Manager - Data Role at Qonto
What are the primary responsibilities of a Product Manager - Data at Qonto?

As a Product Manager - Data at Qonto, your primary responsibilities include owning the ML product roadmap, collaborating with cross-functional teams, and defining ML solutions. You'll gather insights from various sectors of the business to effectively prioritize product features that align with customer needs and business objectives, ensuring that your work directly impacts over 500,000 customers.

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What qualifications are needed for the Product Manager - Data position at Qonto?

To excel as a Product Manager - Data at Qonto, candidates should possess proven experience in product management, particularly with data-driven or ML products. A solid understanding of machine learning concepts and excellent stakeholder management skills are also crucial. Analytical thinking and a strategic vision for product development will help you flourish in this role.

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How does Qonto ensure a welcoming environment for its Product Manager - Data?

Qonto is committed to fostering an inclusive environment, ensuring all team members, including the Product Manager - Data, thrive regardless of their background. We focus on skills and potential during the hiring process and celebrate diversity, reflecting our belief that this is vital for innovation and teamwork.

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What kind of projects will the Product Manager - Data work on at Qonto?

The Product Manager - Data at Qonto will work on exciting projects involving ML solutions that enhance customer experience, such as the implementation of the Attachment Matcher and Expense Categorization tools. These projects directly contribute to improving our customers' financial management experiences.

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What is the team structure like for the Product Manager - Data role at Qonto?

The Product Manager - Data role at Qonto is integrated within a dynamic team focusing on ML applications. You'll collaborate closely with data scientists, engineers, and other business stakeholders, allowing you to bring innovative ML products from conceptual stages to successful execution, fostering a culture of collaboration and active participation.

Join Rise to see the full answer
Common Interview Questions for Product Manager - Data
Can you describe your experience with product management in data-driven environments?

In answering this question, highlight specific projects where you defined and prioritized features based on data analysis. Emphasize tools and methodologies you used to track KPIs and how your decisions influenced product success.

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How would you approach building a roadmap for ML products at Qonto?

Discuss your process for gathering cross-team insights, prioritizing customer-centric features, and balancing business goals. Mention how you would engage stakeholders and maintain flexibility for changes based on customer feedback.

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What is your understanding of machine learning and its applications in product management?

Explain core ML concepts and how they relate to product features. Provide examples of how you've utilized ML in previous roles, emphasizing its impact on enhancing customer experiences and decision-making processes.

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How do you effectively communicate complex technical concepts to non-technical stakeholders?

Share your strategies for simplifying complex ideas using analogies or visual aids. Highlight your experience in ensuring that stakeholders understand technical aspects of the products without overwhelming them with jargon.

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What metrics do you consider essential when assessing a product's performance?

Discuss specific performance metrics you track, such as user engagement rates, customer satisfaction scores, and retention rates. Explain how these metrics inform your product decisions and direction.

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Describe a time you faced a challenge in product management and how you overcame it.

Share a specific example that details the challenge, your approach to addressing it, and the outcome. Focus on showcasing your problem-solving skills and adaptability in the face of obstacles.

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How do you prioritize features in a competitive market?

Discuss frameworks you use for prioritization, such as the MoSCow method or RICE scoring. Explain how you leverage customer feedback and market analysis in combination with company goals to make informed prioritization decisions.

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What role does user feedback play in your product management process?

Highlight your emphasis on soliciting and analyzing user feedback throughout the product lifecycle. Mention how you incorporate this feedback into feature development, testing, and iteration to ensure product-market fit.

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How would you ensure successful collaboration with engineering teams?

Talk about your strategies for fostering strong relationships with engineering teams, such as regular check-ins, aligning on goals, and maintaining open channels of communication to address any potential roadblocks early on.

Join Rise to see the full answer
What excites you about the opportunity at Qonto as a Product Manager - Data?

Express your enthusiasm about Qonto's mission, innovative product offerings, and the impact you can make through ML solutions. Share your passion for working in an inclusive and diverse environment that prioritizes customer focus and teamwork.

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to create the finance solution that energizes SMEs and freelancers.

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DATE POSTED
March 24, 2025

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