Sr. Engineering Manager, Shopping Ads [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Engineering Manager, Shopping Ads based in the United States.

This role sits at the core of a large-scale ads marketplace, responsible for building and scaling the systems that power shopping experiences across dynamic product ads and product listing ads. You will lead a high-performing team focused on ads retrieval, ranking, targeting, and engagement modeling, ensuring advertisers connect with high-intent users in meaningful and measurable ways. The position blends deep technical leadership with people management, requiring a strong ability to operate as a hands-on technical leader in complex ML-driven systems. You will influence architecture, system design, and long-term platform strategy while ensuring fast, reliable, and high-quality experimentation at scale. The environment is fast-paced and highly collaborative, working closely with product, ML platform, data science, and infrastructure teams. This is a high-impact leadership role shaping the future of commerce advertising and recommendation systems at scale.

Accountabilities:

• 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.

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.

Benefits:

• Competitive base salary range: $292,500 – $409,500 USD , plus equity in the form of restricted stock units.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement plan with generous employer matching.
• Fully remote work flexibility within the United States, with optional access to office hubs in select cities.
• Home office setup stipend and additional workplace support perks.
• Flexible vacation policy supporting work-life balance.
• Paid parental leave (4+ months) and family planning support benefits.
• Paid volunteer time off to support community engagement.
• Additional wellness, healthcare, and employee support programs.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.