Senior Engineering Manager, Notifications

Proven Engineering Management Experience: 4+ years managing high-performing teams (including ML, Mobile, Frontend and Backend specialists); 9+ years of overall engineering experience. Hands-on background with distributed systems, large-scale backend services, and/or machine-learning pipelines. Proficiency in at least one programming language (Java, Go, Python). Strong Cross-Functional Communication and Collaboration: Comfortable working with product, design, data science, and business stakeholders—turning strategic objectives into technical roadmaps.

Provide Technical & Strategic Leadership: Establish a clear technical vision and direction and oversee end-to-end development of user-facing notifications and engagement features and platforms, ensuring high availability, performance, and maintainability. Scale the Notifications Platform: Define best practices for system architecture, tooling, and processes that enable self-serve notification capabilities for other teams across Reddit. Expand Relevance Architecture: Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking. Work closely with embedded ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement. Unlock Channel Experiences: Advance Reddit to best-in-class engagement surfaces and capabilities, enhancing user interactions across push, email, and in-app channels to drive engagement and retentive feedback loops. Manage & Mentor a Diverse Team: Lead a group of engineers (including ML, backend, frontend), focusing on career growth, coaching, and technical excellence. Drive Cross-Functional Collaboration: Partner with Product Managers, Designers, and other engineering leads to define a multi-quarter roadmap, align priorities, and deliver features on time. Drive a culture of technical excellence, ensuring the right bets are taken with the highest quality. Measure Impact & Iterate: Set clear objectives, regularly review metrics, and use data to guide product and platform improvements.