Senior Technical Product Manager (Ads ML Platform)

Join Reddit's Ads Marketplace team as a Senior Technical Product Manager for the Ads ML Platform. In this role, you will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports modern ML architectures. You will work closely with engineering, data science, and ads product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. Your work will directly accelerate how quickly and effectively we can ship highly-performant ad products.

• Definir la visión y construir la hoja de ruta para una plataforma que permita una velocidad de ingeniería sin precedentes y soporte las arquitecturas de ML más modernas.
• Construir productos y herramientas que reduzcan drásticamente la fricción para los Ingenieros de Aprendizaje Automático (MLE) y los Científicos de Datos, permitiéndoles entrenar, implementar e iterar en modelos más rápido que nunca.
• Colaborar estrechamente con los equipos de Ingeniería, Ciencia de Datos y Producto de Anuncios para comprender sus limitaciones, priorizar las iniciativas de la plataforma y entregar infraestructura escalable.
• Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking
• Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring)
• Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps
• Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities
• Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams
• Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management
• Understanding of the Ad Tech ecosystem (bidding, ranking, targeting)
• Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG)