Technology
Sr.EngineeringManager,ShoppingAds
Neural analysis suggests this role is
optimal for Manager candidates.
“Sr. Engineering Manager, Shopping Ads at Reddit. Skills: Shopping Ads, Dynamic Product Ads, Product Listing Ads, Machine Learning. Lead software engineers. Lead machine learning engineers”
What You'll Achieve.
Deliver advertiser impact
Industry & Context.
Problem solving
What They're Looking For.
Must Have
8+ years software engineering experience, 8+ years ML engineering experience, Experience leading engineering teams, Hands-on technical depth, Experience building large-scale distributed systems, Experience operating large-scale distributed systems, Experience building ML systems in production, Experience operating ML systems in production, Proven ability to operate as TLM, Experience partnering with Product teams, Experience partnering with ML Platform teams, Experience partnering with Ads Serving teams, Experience partnering with Data Science teams, Experience partnering with cross-functional stakeholders, Systems thinking, Excellent debugging skills, Excellent prioritization skills, Excellent execution skills, Communication skills, Leadership skills
Nice to Have
Familiarity with modern ads ecosystem trends, Familiarity with commerce advertising, Familiarity with recommendation architectures
What You'll Do.
Lead software engineers
Lead machine learning engineers
Drive technical execution
Contribute to architecture reviews
Contribute to technical design
Debug complex production issues
Guide implementation decisions
Partner with ML Platform teams
Partner with Ads Serving teams
Partner with Product teams
Partner with Data Science teams
Partner with Measurement teams
Partner with Infrastructure teams
Deliver advertiser impact
Improve experimentation quality
Improve operational excellence
Drive simplification efforts
Drive platformization efforts
Establish engineering practices
Foster culture of technical rigor
Foster culture of accountability
Foster culture of speed
Foster culture of pragmatic execution
Identify architectural bottlenecks
Identify technical debt
Identify scaling risks
Proactively drive solutions
How You'll Work.
Team & Collaboration
Cross-functional stakeholders
Communication Scope
Align teams
Process & Methodology
Roadmap planning
Full Job Description
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Team & Role Description The Shopping Ads Engineering team builds the systems that power performant, relevant, and scalable Shopping Ads experiences across Reddit’s Ads platform, including Dynamic Product Ads (DPA) and Product Listing Ads (PLA). The team focuses on Shopping Ads targeting, retrieval, and engagement modeling to connect advertisers with high-intent users and improve downstream ads performance. We are looking for a hands-on Engineering Manager to lead this team. This leader will drive technical execution across Shopping Ads systems while remaining deeply involved in architecture, system design, and technical problem solving. 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 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 Act as a hands-on technical leader by contributing to architecture reviews, technical design, debugging complex production issues, and guiding implementation decisions Partner closely with ML Platform, Ads Serving, Product, Data Science, Measurement, and Infrastructure teams to define roadmaps and deliver advertiser impact Improve scalability, lat
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