Director of Engineering, Ads Measurement

Reddit Reddit · Consumer · United States · Remote · Ads Engineering

Director of Engineering role focused on Ads Measurement systems at Reddit. The role involves leading an engineering team to build and scale systems for conversion ingestion, attribution, lift measurement, reporting, and downstream ML signal delivery to improve advertiser performance and optimization. Requires strong technical depth in ads measurement and distributed systems, with experience in leading engineering teams in the ads or measurement domain.

What you'd actually do

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

Skills

Required

  • software engineering experience
  • leading engineering teams
  • ads or measurement domain
  • building large-scale distributed systems
  • data-intensive platforms
  • ads measurement systems
  • conversion APIs
  • pixel infrastructure
  • attribution systems
  • signal quality
  • lift measurement
  • systems that support ML optimization
  • ads delivery
  • reporting
  • experimentation use cases
  • cross-functional initiatives
  • systems thinking
  • long-term architecture
  • execution speed
  • operational reliability
  • organizational leadership
  • technical strategy
  • business priorities
  • evolving ads measurement ecosystem
  • attribution
  • signal reliability

What the JD emphasized

  • ads measurement
  • distributed systems
  • ML optimization