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Director of Engineering, Ads Measurement

Reddit
Remote - United States
Jun 2, 2026
Salary not listed

Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

The Ads Measurement Engineering team builds the systems that power advertiser outcomes and ads optimization across Reddit’s Ads platform. The team owns critical infrastructure and products spanning conversion signal ingestion, attribution, lift measurement, reporting, and the reliable delivery of measurement data to downstream ML and ads systems.

We are looking for a Director of Engineering to lead this organization. This leader will drive the technical strategy and execution for scalable measurement systems that improve advertiser performance and enable effective optimization across the ads stack.

This role requires strong technical depth in ads measurement and distributed systems, as well as the ability to lead complex cross-functional initiatives across Engineering, Product, Data Science, Product Marketing, and Business Development. The ideal candidate combines organizational leadership with a hands-on engineering mindset and can effectively operate across strategy, architecture, and execution.

Responsibilities

  • Lead and grow a high-performing organization of engineering managers and engineers focused on Ads Measurement infrastructure and products
  • Define and execute the technical roadmap for key measurement capabilities including conversion ingestion, attribution, signal quality, lift measurement, and downstream ML signal delivery
  • Drive engineering execution across scalability, reliability, latency, and data quality requirements for critical measurement systems
  • Partner closely with Product, Data Science, ML Engineering, Product Marketing, and Business Development to align technical investments with advertiser and business priorities
  • Improve the quality, usability, and trustworthiness of measuremen

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