Head of Data Products

Paris

Qonto

A business account - and much more. ✓ Invoicing ✓ Bookkeeping ✓ Expense management ✓ Financing | 7/7 customer support

View company page

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 450,000 customers. Thanks to our wonderful team of 1,400+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:Customer focus | Prioritize customers in everything you doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | 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.
Qonto has grown a 60 Data team with Data Engineers, Analytics Engineers, Data Analysts, Data Scientists and ML Engineers working together to deliver great tables, dashboards, insights, and data products.
The Data Product Team has 12+ Machine Learning Engineers reporting to two Leads, themselves reporting to you. Their mission is to turn data into value for our customers through automation.
👩‍💻🧑‍💻As Head of Data Products, you will
- Manage the Data Products team of 12 ML engineers and 2 managers.- Coach your team leaders and ML Engineers to maintain quality and velocity.- Take accountability for your team delivery, with a high level of quality and on time.- Increase efficiency and efficacy in our data product initiatives.- Implement and improve our Machine Learning Operations (MLOps) practices, with an emphasis on anticipating and managing the model lifecycle more proactively.- Interact with key stakeholders across various departments, to support the launch and scaling of new financial products: Risk, Fraud, Product, Finance, Onboarding to streamline data product integration, Bookkeeping and Invoicing.- Make your team shine inside and outside Qonto, and spread a culture of continuous improvement.
The team uses Python, SQL, and state-of-the-art infrastructure, encompassing Kubernetes, AWS, PostgreSQL, Snowflake, Kafka, and the latest AI-driven tools like LLMs and OCRs, to create advanced data products.
🤔 What you can expect
- Innovative Projects: contribute to GenAI project, positioning yourself at the forefront of AI and machine learning applications. - Technological Investment: Qonto invests a lot in technology, and in the domains of machine learning and general intelligence, to stay ahead in this field and in constant innovation.- Growth and Leadership Development: grow as a 'manager of managers', improving your management gestures and methods.- Impactful Work: have a direct and significant impact on Qonto's product.
🤝 Your Future Manager
Jérémie, VP of Data, will be the one to help you succeed.
His background?Before joining Qonto, Jérémie was an associate professor at Telecom Paris and Telecom SudParis. He led data teams for some of France's most reputed digital companies and still advises several deep tech startups. He teaches at Ecole Polytechnique and co-authored over 50 scientific papers.
What does he bring to the team?Jérémie defines a clear vision and path to success for our data platform, BI, data science, and data products teams. He ensures they operate efficiently and have a smooth collaboration with other departments at Qonto. He also helps them continuously learn new skills while improving their existing ones and is still very involved in the hiring of his teams.
🏅About You
People Management: You have managed teams within a structured tech company, and know how to make your team grow.Delivery Management: Proven track record of managing complex deliveries within a cross-functional environment, collaborating effectively with Product, Risk, and Technology teamsTech Skills: Strong technical aptitude with the ability to understand and review code. Proficiency in Python is essential.Functional knowledge in ML/Fraud.Languages: You are fluent in English. French is a plus.
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 as part of our commitment to the Parental Act (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.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Banking Finance Generative AI Kafka Kubernetes LLMs Machine Learning MLOps PostgreSQL Python Snowflake SQL

Perks/benefits: Career development Competitive pay Health care Insurance Startup environment Team events Wellness

Region: Europe
Country: France
Job stats:  10  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.