Staff AI Product Manager

About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's 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 Macy’s, 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)

🔎 What you will do :

Product Strategy :

• Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
• Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
• Drive experimentation with GenAI tooling and scalable deployments

Product Management  & ownership :

Product evangelisation :

🎯 Who you are :

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

🎥 Featured Videos & Talks

(Gen)AI at the Heart of Mirakl's Product

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 Mirakl's core products.

📺 Watch here : YouTube ​

Building and Scaling an AI Product in a SaaS Solution

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.

Interested in joining us? ⭐

📄 View the presentation : Speaker Deck

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 world’s 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 .