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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.
Job Responsibility:
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
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
Requirements:
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
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