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Manager, Data Science & Engineering - Title & Launch Management

Netflix - USA - Remote | Los Angeles,California,United States of America | Los Gatos,California,United States of America

Posted Mar 17, 2026

Benefits

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Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Application

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About this role

Manager, Data Science & Engineering - Title & Launch Management USA - Remote | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Title & Launch Management Data Science and Engineering team is at the forefront of driving operational and creative excellence in how we launch and promote content. We build highly automated systems that power the launch of new content formats, such as fast‑follow local broadcasts and video podcasts, and help members discover titles they'll love. Our interdisciplinary team sits at the intersection of rigorous measurement, advanced analytics, and the latest AI/agentic solutions that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix. We are seeking an experienced leader to lead a multidisciplinary team of analytics engineers, data scientists, and machine learning scientists and engineers who build the data products, algorithms, and systems that power title launch. You will guide a highly talented team and partner closely with cross‑functional teams to support Netflix's growing content offerings and partnerships by automating large‑scale content ingestion and replacing manual processes, developing a flexible, federated system that enables efficient, scalable, and self‑service content ingestion as

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