Principal Technical Program Manager, Relational Deep Learning Platform

What you'll do

• Lead the relational deep learning program from initial research through to production deployment.
• Deliver task-specific models for fraud detection and recommender systems by managing data requirements, training, and benchmarking.
• Coordinate with infrastructure and platform teams to align compute capacity and training/serving environments.
• Manage release cycles for models and platforms, including versioning, compatibility, and safety approvals.
• Maintain the program operating rhythm by leading planning, risk tracking, and decision forums across multiple departments.
• Define and track health metrics such as model quality, training speed, and time-to-release.
• Create automation and tooling to streamline program operations, status reporting, and release workflows.

What we're looking for

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• 15+ years of experience in technical program management, engineering, or data/ML delivery.
• Significant experience in ML/AI or large-scale data environments.
• Experience leading complex, multi-stakeholder programs end to end in research and engineering organizations.
• Ability to interpret model and evaluation results and make decisions about training pipelines, data, and infrastructure trade-offs.
• Ability to build operating rhythms from scratch and communicate clearly with technical teams and senior executives.
• Familiarity with modern program-management practices like Agile, roadmapping, and risk and dependency management.
• Experience delivering graph ML, recommender, or fraud-detection systems into production (preferred).