• Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers. • Partner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmaps. • Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence. • Work with data platform teams to build robust, scalable batch and real-time data pipelines. • Work closely with the Fraud and Compliance Operations team and the Data Analytics team to identify and understand the ever-changing landscape of fraud vectors and then take action to keep up with new forms of fraud. • Work with other product and development teams to ensure that Twilio’s new and existing products incorporate anti-fraud efforts and publish the appropriate data to our fraud-fighting tools. • Advocate for agile processes, continuous integration (CI/CD), automated testing, and sophisticated model monitoring to minimize "toil." • Institute and maintain a rotating on-call incident escalation and response processes for the team. • Manage highly critical risk platform tools in the cloud. • Own reliability for the team’s services and participate in an on-call rotation. • Adapt to prioritizing multiple issues in a high-pressure environment. • Understand complex architectures and be comfortable working with multiple teams. • Conduct short term and long term planning to achieve team’s goals identifying both tactical and strategic commitments and gaps while performing capacity management and ruthless prioritization.