Staff AI Product Manager

Mirakl; France; Hybride; EUR 110 000 - 150 000; Plein temps

Résumé du poste

A leading eCommerce solutions provider is hiring a Staff AI Product Manager to oversee the AI Catalog Product strategy. This role requires extensive SaaS product management experience with a focus on AI/ML functionalities. Candidates should possess a Master’s or PhD in relevant fields, technical expertise in GenAI ecosystems, and fluency in both French and English. The position is based in Paris, Bordeaux, or can be remote within France. This is an opportunity to shape innovative solutions in a fast-evolving industry.

Qualifications

• 7+ years of SaaS product management experience.
• Deep technical ownership over AI/ML features.
• Strong technical fluency in GenAI ecosystems.
• Fluent in French and English.

Responsabilités

• Own end‑to‑end AI product strategy for the Catalog transformer.
• Drive cross‑functional collaboration with AI researchers and engineers.
• Implement processes for AI squads.
• Collaborate with cross-functional teams to deliver impactful features.

Connaissances

SaaS product management

Technical ownership of AI/ML features

GenAI ecosystems fluency

Analytical mindset

Fluent in French and English

Formation

MSc/PhD in Computer Science or Machine Learning

Outils

GenAI ecosystems

Description du poste

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).

Location: Paris, Bordeaux, or Remote (France)

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 recruiting and training other PM AI
• Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
• Popularize 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 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.

Interview Process

• 45‑minute phone call with one of our Tech recruiters to discuss your background and expectations.
• One‑hour technical interview via Zoom with Arthur, the Data Science Manager on Catalog Transformer.
• Two 45‑minute Zoom interviews with our VP Engineering and the Data Engineering Manager.
• Final call with Anne‑Claire, our Chief Data & AI Officer.

We welcome collaborators with 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.