Sr. Engineering Manager, Shopping Ads

United StatesHybrid

Responsibilities

Lead a high-performing team of software and machine learning engineers focused on Shopping Ads targeting, retrieval, ranking, and engagement models
Drive technical execution for Dynamic Product Ads and Product Listing Ads across ads targeting, candidate retrieval, ranking integrations, model features, and engagement optimization
Improve scalability, latency, reliability, relevance, experimentation quality, and operational excellence across Shopping Ads systems
Drive simplification and platformization efforts that improve developer velocity and reduce operational complexity
Establish strong engineering practices around system design, experimentation, code quality, observability, and production ownership
Mentor and develop engineers and technical leads while fostering a culture of technical rigor, accountability, speed, and pragmatic execution
Identify architectural bottlenecks, technical debt, and scaling risks, and proactively drive solutions across organizational boundaries

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The ideal candidate can operate as both an engineering manager and a technical lead manager (TLM), bringing strong ML systems judgment, execution rigor, and the ability to unblock complex technical work. Responsibilities
Partner closely with ML Platform, Ads Serving, Product, Data Science, Measurement, and Infrastructure teams to define roadmaps and deliver advertiser impact
experience leading engineering teams
Strong hands-on technical depth in ads ranking, retrieval, targeting, recommendation systems, engagement modeling, or ML-driven optimization systems •
Experience building and operating large-scale distributed systems or ML systems in production
Proven ability to operate as a technical lead manager (TLM), driving architecture and execution while managing and developing engineers •
Experience partnering with Product, ML Platform, Ads Serving, Data Science, and cross-functional stakeholders to deliver complex initiatives
Strong communication and leadership skills with the ability to align teams around technical strategy and business priorities