Senior Product Manager (AI/ML)

Join adMarketplace as a Senior Product Manager (AI/ML) and take ownership of search relevance, data architecture, and data pipelines for native search ads across our publisher and AI Chat surfaces. This high-leverage, hands-on role offers executive visibility and requires a strong background in product management, ad tech, and AI/ML. You will work closely with various teams, define product strategy, and measure success through clear metrics and evaluation frameworks.

• Posséder la responsabilité de la pertinence de la recherche, de l'architecture des données et des pipelines de données qui alimentent la prochaine génération de publicités de recherche natives.
• Définir, prioriser et encadrer les investissements en matière de données, de fonctionnalités et d'alimentation qui stimulent la récupération, le classement et la compréhension des requêtes.
• Écrire des spécifications de produit, construire des prototypes légers et réaliser des évaluations techniques avec des ingénieurs en apprentissage automatique, des scientifiques des données et des partenaires de la plateforme de données.
• Strong product instincts for search and relevance: retrieval, ranking, query understanding, evaluation, and the experimentation methods that actually surface causal lift
• Comfort operating with autonomy in fast-moving, ambiguous environments, with the grit to drive decisions when data is incomplete
• Working fluency in the publisher and SSP ecosystem, including supply-side workflows, integrations, feed quality, and marketplace dynamics
• 5 to 8 years of product management experience, including at least 3 to 4 years in ad tech
• Proven track record building data, ML, or AI products end to end. You have shipped something real that depended on data pipelines, feature engineering, or model output, and you can speak to the tradeoffs you made
• High technical literacy with hands-on prototyping and technical scoping experience. Comfort reading SQL, exploring data, sketching pipelines, and working through model evaluation plans with ML and data science partners
• Excellent written communication. You can take a tangled, cross-team problem and make it legible to an executive in one page
• Experience working with or integrating against DSPs, SSPs, identity providers, or product feed / catalog systems
• Background in data platform or feature store product work
• Direct experience with AI Chat, generative search, or LLM-powered surfaces, especially monetization, ranking, or retrieval for those surfaces
• Hands-on experience with experimentation platforms, offline evaluation, and online A/B testing at scale