• Design and manage end-to-end data workflows to support the ML engineering lifecycle, focusing on preparing data for model training, tracking data lineage, evolving schemas to adapt to changing needs, and ensuring data integrity and reliability in production. • Prototype new ideas and influence the serving strategy • Build and optimize real-time serving systems to deliver low-latency, high-throughput APIs for model predictions and personalized recommendations, ensuring reliable and scalable performance in production environments. • Collaborate with other product engineers and cross-functional partners to develop new Host pricing functionality and surface model recommendations, insights and analytics • Contribute to the development of long-term workflow strategies, roadmaps and ML serving development within the Host Pricing organization. • Mentor and coach team members, providing guidance in ML serving and data engineering best practices and support to enhance their skills and performance. • Ability to work in areas outside of your usual comfort zone and show motivation for personal growth