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, personalise shopping experiences, and boost profits through retail media.

Mirakl is trusted by over 400 industry‑leading businesses worldwide, including Macy’s, Decathlon, Best Buy, Airbus, Toyota Material Handling and Sonepar. Headquartered in Paris with offices in Bordeaux and other 7 countries, Mirakl is recognised as a Great Place to Work.

Location

Paris, Bordeaux, or Remote (France).

Role Overview

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 and lead from the front in ensuring AI outputs meet industrial‑grade standards of factuality, consistency, latency, and robustness.

What you will do

• 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

• Implement and improve processes for AI squads and between Data Scientist and product squads.
• Drive cross‑functional collaboration with AI researchers, data scientists, PMs, designers and engineers to deliver impactful features.
• Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring).
• Help recruit and train other PMs in AI.
• Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities.
• Popularise and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert.

Product evangelisation

• Build internal tools and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities.
• Popularise and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert.

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 modelling.
• 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.

Interview process

• A 45‑minute phone call with one of our Tech recruiters to discuss your background, expectations, and Mirakl’s offerings.
• A one‑hour technical interview via Zoom with the Data Science Manager on Catalog Transformer to explore your expertise and how your skills can contribute.
• Two 45‑minute Zoom interviews with our VP Engineering and the Data Engineering Manager to discuss our values and company culture.
• Final call with Anne‑Claire, Chief Data & AI Officer.

Important

We may use AI solutions to help streamline our hiring process, including screening applications, analysing resumes and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans.