Staff AI Product Manager

Mirakl - Labs; Bordeaux; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading eCommerce software provider is seeking a Staff AI Product Manager to define and lead the product strategy for the AI Catalog Product. The role involves working hands-on with AI technologies, driving cross-functional collaboration, and ensuring product quality. The candidate should have 7+ years in SaaS product management, strong technical expertise in AI/ML, and be fluent in both French and English. Join us to innovate and enhance our market-leading solutions.

Prestations

Great Place to Work environment

Opportunity to work on cutting-edge AI solutions

Collaborative culture

Qualifications

• 7+ years of SaaS product management experience.
• Deep technical ownership of AI/ML features.
• Hands-on experience with AI/ML teams.

Responsabilités

• Own AI product strategy and execution for Catalog transformer.
• Drive collaboration with AI researchers and engineers.
• Promote AI solutions to facilitate customer adoption.

Connaissances

SaaS product management

Technical ownership over AI/ML features

Strong technical fluency in GenAI ecosystems

Analytical mindset

Fluent in French

Fluent in English

Formation

MSc/PhD in Computer Science or Machine Learning

Outils

AI/ML tools and frameworks

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).

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?

• 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 / Datascientist, PM, 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

(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? ⭐

A 45‑minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background your expectations, and to discover what Mirakl can offer you.

A one‑hour technical interview via Zoom with Arthur, the Data Science Manager on Catalog Transformer to explore in detail your expertise and how your skills can contribute to our projects.

Two 45‑minute Zoom interviews with our VP Engineering and the Data Engineering Manager discuss our values and company culture.

• Final call with Anne‑Claire, our Chief Data & AI Officer

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 .