Leads enterprise-wide omnichannel personalization strategy across websites, push notifications, and SMS. Owns the roadmap for AI/ML-driven personalization models, partners with data science and ML engineering teams, drives experimentation platforms, and delivers personalized customer experiences and measurable business outcomes. Provides transformational product leadership while balancing customer needs, business value, technology, risk, and cross-functional alignment.

Leads product management for consumer digital experiences, translating customer needs and business strategy into innovative, technology-driven products. Drives cross-functional alignment, solves complex product problems, manages product risks, and delivers scalable experiences through data, AI, and front-end engineering. Requires a quantitative, business, or marketing degree, or a bachelor’s degree with four years of product management experience.

Build and scale enterprise machine learning platforms and production ML systems. Develop models, data pipelines, distributed training workflows, Kubernetes operators, SDKs, and developer tooling using Python and cloud technologies. Deploy, monitor, retrain, and govern ML models while applying CI/CD, testing, security, and responsible AI practices. Collaborate with Product, Data Science, and Agile engineering teams, and contribute to open-source Kubeflow.