Big Data, Intelligence artificielle / Machine Learning, Logiciels

Paris, Amsterdam, Atlanta, Florida, Geneva, Germany, London, Madrid, Massachusetts, Milan, Munich, New York, Pennsylvania, San Francisco

Anne-France is a passionate sales leader who likes to coach and help her teams grow. She has been managing teams for several years and enjoyed several different positions in her career, from Sales to Operations. She joined Dataiku in July 2021 as a Regional VP of Sales.

She specifically focuses on the manufacturing sector, helping industry leaders deliver exceptional results thanks to Everyday AI.

Simona holds a PhD in computer vision and machine learning from Bologne University. She joined Dataiku as a Senior Research Scientist in 2020. As part of Dataiku’s Lab she investigates emerging AI & ML topics, build prototypes, write publications, and help prepare the future of Dataiku’s products. She recently moved to Grenoble and works remotely from there.

Régis is a passionate software engineer who likes to work on challenging products. He joined Dataiku’s QA team in Paris as a Senior Software Engineer in Test in January 2019. His work involves working with developer-led unit tests, automated backend integration testing (Python), automated browser-side testing (Python + Selenium) and some manual frontend testing. He particularly enjoys the fact that QAs and engineers work hand in hand at Dataiku.

Cédric spent most of his career in the financial sector before joining Dataiku in 2019 as a Senior Customer Success Manager. He now leverages his industry expertise to help major banks and insurance companies take the most our of Dataiku’s platform for Everyday AI.

Cédric particularly enjoys building trusting relationships with his clients and Dataiku’s collaborative and open company culture.

Malick studied computer science and data science and started his career as a data science consultant. When he discovered Dataiku in 2019, he immediately decided to join the company as a Data Scientist. Malick recently joined Dataiku’s Business Solutions team where he helps crafting data science solutions for our retail customers. Malick particularly enjoys working on such a powerful product in a friendly environment.

Learn more about Dataiku

Ingénieur qualité

Ingénieur qualité

Le rôle d’un ingénieur qualité est de créer un périmètre de tests pour s’assurer de la qualité final d’un produit.


Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries.

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1200 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and Serena, we’ve set out to build the future of AI.

Let’s do it together!

What they are looking for

Dataikers share a common conviction that no universal product, nor healthy teams, can be built without the strength of diverse point of views, social origins, gender, experiences, and cultures. We all continuously work on building a diverse and inclusive work environment where all Dataikers feel free to be their true selves.

Good news, most of our teams are hiring now! We’re looking for new employees to join the adventure globally in Data Science, Presales, Finance, Engineering, Customer Success, and more!

Good to know

Let’s make it short: we truly care about people. We are a tech company building software. Our culture is even pretty geeky. But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Here’s how!

🤝 DEI Initiatives

This includes offering company-wide unconscious bias training, working with our employee-led Diversity, Equity, and Inclusion Advisory Council, and partnering with external organizations such as Simplon.

🥳 Shared Experiences

We love to gather Dataikers and organize social events (remote or in person) throughout the year (daily catered breakfast or lunch (depending on local traditions), monthly happy hours, quarterly, an annual offsite etc).

💡 Learning for All

Besides our very complete onboarding week, we have ongoing learning opportunities like our Friday Universities, an internal podcast, our various Sales & Tech enablement workshops as well as free English/French lessons.

🍼 Parental benefits

We offer 60 days of fully paid leave for all new parents regardless of gender or status globally as well as the flexibility for each of them to choose whenever they prefer taking that time off (all at once or not, in the weeks leading up to the event, and up through six months after).

🌳 Ikig.AI

We believe everybody at Dataiku should have the opportunity to work on projects they cherish and where they feel useful. Our Ikig.AI program allows all employees to accrue 2.5 days a year as part of a global pool of paid volunteering time.

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