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Netflix

Manager, Applied AI - Title Launch Management

AgileFluent referral
On-site • Los Gatos, United States • Head • $436–710k / год
Зарплата
$436–710k / год
Опубликовано
10 мин назад
Описание

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 and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix—including series, movies, games, ads, live events, trailers, and more. TLM acts as the bridge between the title creation lifecycle and the consumer experience, ensuring that launching titles on Netflix is efficient, flexible, accurate, and scalable. Our team’s goal is to make launching titles as seamless as possible, supporting both operational and creative needs across the company.

The TLM Data Science and Engineering team drives automation and operational excellence in how we launch content. The team owns the data foundations, measurement workflows, reporting, and observability tooling, as well as AI/agentic solutions that make title launches faster, more automated, and less error‑prone from ingest through to being live and healthy on service. We develop systems that identify and classify issues, automate resolution across a broad set of teams and systems, apply reasoning to identify risk, and increasingly, automate launch decisions.

What You Will Do

  • Oversee a diverse portfolio of end-to-end initiatives that advance Netflix’s title launch strategy and support our rapidly growing content slate.
  • Lead the team in developing rigorous, scalable evaluation pipelines and safety guardrails to monitor launch speed, content and format diversity, technical spec compliance, and risk across our global catalog; analyze production failures and drive systematic improvements to model and workflow reliability.
  • Guide the team in designing feedback loops and data infrastructure that continuously bring high-quality real-us...

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