Director of Applied AI/ML Science (Ads)

Join Faire, a rapidly growing company in the e-commerce space. As the Director of Applied AI/ML Science for Ads, you will own the end-to-end data vision and strategy for the Ads business. You will lead and grow a team of Applied Scientists and Analytics/Data Engineers, set the technical vision and roadmap, and partner closely with cross-functional leaders. This is a unique opportunity to shape the technical and organizational backbone of one of Faire's most important growth engines.

• Définir la vision et la stratégie globales en matière de données pour le secteur des publicités, en couvrant l'apprentissage automatique appliqué et l'ingénierie des données.
• Diriger et développer une équipe d'applied scientists et d'analysts, en fixant la vision technique et la feuille de route du groupe.
• Collaborer avec des leaders interfonctionnels pour concevoir et exécuter le modèle opérationnel de l'équipe, en veillant à ce que les données et l'apprentissage automatique soient intégrés dès le début.
• Strong track record partnering with cross-functional partners to define team operating models and drive cross-functional execution
• Demonstrated ability to set technical vision and strategy for a team or org, and to translate that strategy into roadmaps, priorities, and measurable outcomes
• Comfort operating across a broad technical surface area — from ML modeling (bidding, auction, ranking, relevance) to data engineering and analytics infrastructure — with enough depth to earn credibility with ICs across all of these areas
• Excellent communication skills, with the ability to flex between technical depth and business-level narrative depending on the audience
• Direct experience with ads marketplaces, auction systems, or search/recommendation systems
• Comfort with ambiguity and rapid change — this team is young and growing fast, and the role requires building process and structure while the ground is still shifting
• 8+ years of experience in data science, applied ML, or ML engineering roles, ideally with exposure to ads, search, recommendation systems, marketplaces, or auctions
• 4+ years of experience managing technical teams of 5+ people, including senior ICs
• Academic background in Computer Science, Machine Learning, Statistics, Math, Operations Research, or a related field; PhD a plus
• Prior experience building or scaling a data/applied science org from an early stage