This role pays more than
99%
of similar roles. Most pay
$155,900–$227,200
— the shaded band above.
At the midpoint, this role pays about
$700k
versus about
$192k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
111 open roles
on FindRole.
Listed pay typically runs
$388,000–$619,000
across 109 roles with salary data.
As a senior technical leader on the Decisioning & Optimization team at Netflix Ads, you will own the technical direction of real-time ad decisioning systems, driving architecture reviews and capacity planning while balancing revenue goals with member experience. Your day-to-day involves architecting multi-stage auctions, ranking, scoring, bidding, and pacing under strict latency constraints, scaling ML model serving infrastructure for high QPS with sub-20ms P99 inference, and collaborating closely with Science and Platform teams to ensure seamless productionization of models. You will also build simulation frameworks for offline validation and design real-time pacing systems for budget delivery accuracy. Key skills include extensive experience in distributed systems, ad tech components like bidders and pacers, and a strong track record in technical leadership across multiple teams. Proficiency in ML model serving infrastructure, ad serving concepts, and operational excellence is essential, with additional value placed on expertise in auction mechanics, multi-stage ranking, and experimentation infrastructure.