Manager, Applied AI - Title Launch Management

Netflix

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Los Angeles, CALos Gatos, CA
Salary
$436,000–$710,000 / yr
Employment
Full-time
Posted
16 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $573k
$100k $775k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $176,450–$250,500 — the blue band above. At the midpoint, this role pays about $573k versus about $213k 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 165 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 151 roles with salary data.

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View all roles at Netflix

At a glance

TL;DR · Manager, Applied AI - Title Launch Management

Manager, Applied AI - Title Launch Management joins the Title and Launch Management team to build technology foundations for the ingest, setup, and global distribution of entertainment content. This role involves overseeing a portfolio of initiatives to advance title launch strategies, including developing scalable evaluation pipelines, safety guardrails, and data infrastructure. You will lead a team of machine learning scientists, analytics engineers, and data engineers to drive automation and operational excellence. Key responsibilities include designing feedback loops, analyzing production failures, and managing the AI/ML lifecycle. Required skills include proficiency in software engineering fundamentals, LLMs, RAG, and agentic architectures. You must demonstrate experience with ML evaluation methodologies, MLOps platforms like PyTorch or TensorFlow, and vector databases to solve complex content processing and digital asset workflow problems.

What you'll do

  • Oversee a diverse portfolio of end-to-end initiatives to advance Netflix’s title launch strategy.
  • Lead the development of scalable evaluation pipelines and safety guardrails to monitor launch speed and technical compliance.
  • Analyze production failures to drive systematic improvements in model and workflow reliability.
  • Design data infrastructure and feedback loops to integrate real-user data into training pipelines.
  • Coach, hire, and develop a team of machine learning scientists, analytics engineers, and data engineers.
  • Partner with Product Management and Engineering teams to define roadmaps and deliver rollout plans.
  • Introduce automation into established operational workflows while managing human-in-the-loop handoffs.
  • Translate high-level business goals into clear team priorities and actionable execution plans.

What we're looking for

  • 3+ years of direct management experience shipping production-grade AI/ML software with measurable business impact.
  • Proficiency in software engineering fundamentals and LLMs, RAG, and agentic architectures.
  • Strong track record of designing and implementing evaluation pipelines for AI/ML products.
  • Experience building safety guardrails to manage business risk and feedback loops for continuous improvement of models.
  • Familiarity with ML evaluation methodologies and integrating them into continuous improvement processes.
  • Experience introducing automation into established operational workflows and managing the associated change management.
  • Strong product mindset with the ability to translate high-level goals into clear team priorities and plans.
  • Experience in the media technology domain (preferred).
  • Technical proficiency with hands-on experience across the AI/ML lifecycle, including PyTorch, TensorFlow, Metaflow, and vector databases (preferred).

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