Lead end-to-end improvements to recommendation systems and personalization. Partner with data science and engineering to set ranking inputs, run experiments, and measure impact while ensuring fairness, safety, and clear stakeholder communication.

The role involves designing and improving AI/ML platforms and operational infrastructure, collaborating with engineers and product managers, and mentoring teams on MLOps best practices.