Sr. Engineering Manager, Shopping Ads

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