Senior
Lead Reddit's Shopping Ads Engineering team as a hands-on technical lead manager driving DPA/PLA targeting, retrieval, and ranking
Reddit is hiring a hands-on Senior Engineering Manager to lead the Shopping Ads Engineering team building Dynamic Product Ads and Product Listing Ads systems — targeting, retrieval, ranking, and engagement modeling. This interview tests whether you can operate as both manager and technical lead manager (TLM): deep in architecture reviews and production debugging while also managing and growing a team of software and ML engineers.
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What this interview tests
- Hands-on technical leadership (TLM) in ads ranking/retrieval/recommendation systems
- Dynamic Product Ads / Product Listing Ads domain: targeting, retrieval, engagement modeling
- Large-scale distributed ML systems in production
- Cross-functional roadmap execution with ML Platform, Ads Serving, Product, Data Science
- Simplification/platformization and technical debt reduction across org boundaries
- Mentoring engineers while retaining architecture ownership
Common question themes
Walk me through an ads ranking, retrieval, or recommendation system you personally architected — what were the key design decisions?
Describe a production issue in a ranking or ML system you debugged hands-on as a manager
How do you balance staying technically hands-on (TLM) with delegating and developing your team?
Tell me about a cross-functional initiative with ML Platform, Ads Serving, or Data Science that had roadmap conflicts — how did you resolve them?
Give an example of a simplification or platformization effort you drove that spanned multiple teams
How do you evaluate and improve experimentation quality and relevance in an ads system?
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