Staff AI Product Manager

il y a 3 jours


Bordeaux, France Labs Temps plein

About Mirakl 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) 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 : 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 Product evangelisation : 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 Mirakls 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 Mirakls 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 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 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 . Required Experience : Staff IC Key Skills 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 #J-18808-Ljbffr


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