Senior Engineering Manager, Shopping Ads

Reddit, Inc.

Engineering Manager overseeing team of software and ML engineers for Shopping Ads at Reddit. Driving technical execution and mentoring, with focus on machine learning systems and ad technology.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $292,500 - $409,500 per yearWebsite

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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, 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
Stay current with industry trends in commerce advertising, recommendation systems, retrieval and ranking architectures, and Shopping Ads optimization

Requirements

What you’ll need

8+ years of software engineering or ML engineering experience, including 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 systems thinking with the ability to balance technical quality, execution speed, scalability, and operational reliability
Excellent debugging, prioritization, and execution skills in fast-moving production environments
Strong communication and leadership skills with the ability to align teams around technical strategy and business priorities
Familiarity with modern ads ecosystem trends, commerce advertising, and recommendation architectures is a plus.

Benefits

Comp & perks

100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
Competitive salary and equity options
Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
Generous 401k matching
Flexible vacation policy
Paid parental leave (4+ months)
Family planning support
Paid volunteer time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringmachine learning engineeringads rankingretrievaltargetingrecommendation systemsengagement modelingML-driven optimizationlarge-scale distributed systemsdebugging

Soft Skills

technical leadershipmentoringcommunicationsystems thinkingprioritizationexecutioncollaborationaccountabilitytechnical rigoradaptability