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A leading eCommerce software provider is seeking a Staff AI Product Manager to take charge of the AI product strategy for their Catalog Transformer. The role involves collaboration with various AI teams and demands deep technical ownership of AI/ML features. The ideal candidate will have at least 7 years of experience in SaaS product management and an MSc/PhD in a related field. You will work hands-on with cutting-edge technologies in a vibrant team setting located in Bordeaux.
Mirakl is the leading provider of eCommerce software solutions. Mirakls suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.
Since 2012 Mirakl has been pioneering the platform economy empowering retail and B2B enterprises with the most advanced secure and scalable technology to digitize and expand product assortment through marketplace and dropship improve efficiency in supplier catalog management and payments personalize shopping experiences and boost profits through retail media.
Mirakl is trusted by 400 industry‑leading businesses worldwide including Macys Decathlon Best Buy Airbus Toyota Material Handling and Sonepar.
Headquartered in Paris with another office in Bordeaux and with offices in 7 countries Mirakl is recognized as a Great Place to Work company.
With more than 350 people Mirakl Labs teams are mainly based in France. They work together on a daily basis to develop our roadmap for our 5 SaaS solutions.
They also address the issues faced by our customers and users responding to various challenges related to new features scalability security and usability.
At Mirakl we are embedding state‑of‑the‑art foundation models into our SaaS platform to radically transform product catalog operations at global scale. We’re hiring a Staff AI Product Manager to lead the technical product strategy and execution for our AI Catalog Product (Catalog Transformer).
In this senior IC role you will work hands‑on at the intersection of LLM architecture data pipelines and user‑facing SaaS products translating research innovations into production‑grade scalable AI features. You will define how foundation models (OpenAI Mistral Claude Llama) are fine‑tuned orchestrated (e.g. via RAG pipelines) evaluated and deployed into critical catalog data transformation tasks.
You’ll collaborate closely with AI Research Data Science Engineering and SaaS Product teams (Catalog & Connect) and you’ll lead from the front in ensuring AI outputs meet industrial‑grade standards of factuality consistency latency and robustness.
Location : Paris Bordeaux or Remote (France)
7 years of SaaS product management with deep technical ownership over AI / ML features.
MSc / PhD in Computer Science Machine Learning or equivalent hands‑on expertise.
Strong technical fluency in GenAI ecosystems : LLMs fine‑tuning RAG systems embeddings structured output modeling.
Hands‑on experience working with AI / ML teams on model lifecycle : evaluation A / B testing fine‑tuning and post‑deployment monitoring.
Analytical and experimental mindset : you know how to validate an LLM product beyond demos.
Familiarity with computer vision pipelines data labeling ops or human‑in‑the‑loop AI systems.
Fluent in French and English.
Practical experience in catalog data management search / NLP or eCommerce AI systems is a plus
Anne‑Claire Baschet Chief Data & AI Officer at Mirakl discusses the journey from inception to deployment of the Catalog Transformer highlighting the integration of GenAI into Mirakls core products.
Fanny Guélin and Arthur Delaitre from Mirakl present at Apidays Paris 2024 discussing the development and scaling of AI products within a SaaS framework with a focus on the Catalog Transformer.
We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450 of the worlds most innovative retailers and B2B organizations we strongly encourage you to apply to any of our roles even if you think you’re not an exact match.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process including screening applications analyzing resumes and assessing responses. While AI helps us work efficiently all final hiring decisions are made by humans. For more information visit our AI Guidelines for Candidates and Interviews .
Staff IC
Time Management,Data Analytics,Analytical,Agile,Requirement Gathering,Strategic thinking,Visio,Communication,Problem Solving,Market Research,UML,Cross Functional Teams
Employment Type : Full‑Time
Experience : years
Vacancy : 1