Sr. Engineering Manager, Shopping Ads
New
Fully remote work flexibility within the United StatesFull-TimeManager
Salary292,500 - 409,500 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- Machine LearningPeople ManagementSoftware EngineeringDebuggingDistributed Systems
Requirements
- 8+ years of experience in software engineering or ML engineering, including leadership experience managing engineering teams.
- Strong technical depth in ads systems, recommendation systems, ranking, retrieval, or ML-driven optimization at scale.
- Proven experience operating as a technical lead manager (TLM), balancing hands-on architecture work with people leadership.
- Experience building and scaling large distributed systems or machine learning systems in production environments.
- Strong systems thinking with the ability to balance trade-offs across scalability, reliability, performance, and speed of execution.
- Excellent debugging, prioritization, and execution skills in fast-paced, production-critical environments.
- Strong communication and leadership abilities, with experience aligning cross-functional stakeholders around technical strategy.
- Familiarity with commerce advertising, ads ecosystems, or recommendation architectures is a strong plus.
Responsibilities
- Lead and grow a team of software and machine learning engineers focused on shopping ads systems, including targeting, retrieval, ranking, and engagement optimization.
- Own technical execution for Dynamic Product Ads and Product Listing Ads, driving improvements across relevance, performance, and monetization outcomes.
- Act as a hands-on technical leader, contributing to architecture design, system reviews, debugging production issues, and guiding complex engineering decisions.
- Partner closely with cross-functional teams including Product, ML Platform, Data Science, Ads Serving, and Infrastructure to define roadmaps and deliver impact.
- Drive improvements in scalability, latency, reliability, experimentation quality, and operational excellence across ads systems.
- Lead platformization and simplification efforts to improve developer velocity and reduce system complexity.
- Establish strong engineering practices around code quality, observability, experimentation, and production ownership.
- Mentor engineers and technical leads while fostering a culture of rigor, accountability, speed, and pragmatic execution.
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