engineering
Posted 2 hours agoSr. Engineering Manager, Shopping Ads
at Redditinc
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
Requirements
- 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