Sr. Engineering Manager, Shopping Ads

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Team & Role Description

The Shopping Ads Engineering team builds the systems that power performant, relevant, and scalable Shopping Ads experiences across Reddit’s Ads platform, including Dynamic Product Ads (DPA) and Product Listing Ads (PLA).

The team focuses on Shopping Ads targeting, retrieval, and engagement modeling to connect advertisers with high-intent users and improve downstream ads performance.

We are looking for a hands-on Engineering Manager to lead this team. This leader will drive technical execution across Shopping Ads systems while remaining deeply involved in architecture, system design, and technical problem solving. The ideal candidate can operate as both an engineering manager and a technical lead manager (TLM), bringing strong ML systems judgment, execution rigor, and the ability to unblock complex technical work.

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

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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. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$292,500—$409,500 USD

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