Sr. Engineering Manager, Shopping Ads

292% above the BLS national median

BLS national median: $74,680

• $409,500
• 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, 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 Qualifications 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 Perks and 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 #LI-AS1 Pay Transparency: This job posting may span more than one career level.
• In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

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• 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

• 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, 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 Qualifications 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 Perks and 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 #LI-AS1 Pay Transparency: This job posting may span more than one career level.
• In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
• Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.