Senior Engineering Manager, Shopping Ads

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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

• 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

• 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