Director of Applied AI for Title Launches

Netflix, Inc.

Los Angeles (CA)

On-site

USD 436,000 - 710,000

Full time

14 days+
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Benefits offered by this job

Health plans
Mental health support
401(k) with employer match
Stock option program
Disability programs
Health Savings Account
Family‑forming benefits
Flexible time off
Paid leave

Job summary

Netflix is seeking a leader to oversee the TLM Data Science and Engineering team, driving end-to-end content launch initiatives across our global catalog. You will build scalable AI/ML foundations, evaluate pipelines, and ensure reliable, fast title launches that meet creative and operational needs.

You will coach a diverse team of ML scientists and analytics engineers, partner with Product, Launch Operations, and engineering teams, and translate business goals into actionable roadmaps.

Qualifications

  • 3+ years of direct management experience shipping production-grade AI/ML software.
  • Proficiency in software engineering fundamentals and LLMs, RAG, and agentic architectures.
  • Experience designing and implementing evaluation pipelines for AI/ML products.
  • Experience building safety guardrails to manage business risk and feedback loops.
  • Familiarity with ML evaluation methodologies (e.g., offline metrics, online experiments, human evaluation).
  • Experience automating an established operational workflow and managing human-in-the-loop handoffs.
  • Strong collaboration and ability to translate goals into team priorities.
  • Nice to have experience in the media technology domain.

Responsibilities

  • Oversee a diverse portfolio of end-to-end initiatives for Netflix’s title launch strategy and global catalog.
  • 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.
  • Guide the team in designing feedback loops and data infrastructure that continuously bring high-quality real-user data into evaluation and training pipelines to improve performance over time.
  • Coach, hire and develop a team of machine learning scientists, analytics engineers, and data engineers, fostering an agile, high-quality development culture.
  • Partner closely with Product Management, Launch Operations, Partner Integration Managers, and multiple Engineering teams to identify opportunities, shape strategy, define roadmaps, drive execution, and deliver well-structured rollout plans.
  • Cultivate durable partnerships across product, engineering, and operations; communicate complex ideas clearly to various audiences; connect the dots across teams; and influence priorities beyond your immediate domain to jointly deliver outcomes.
  • Foster a culture of ownership and timely, reliable delivery against the roadmap while acting as a trusted technical advisor who balances business goals with strong engineering practices and continuous improvement.
  • Create an environment where everyone feels empowered, accepted, and respected, and where diverse perspectives are actively encouraged and valued.

Skills

Management experience
AI/ML software
Software engineering fundamentals
LLMs & agentic architectures
Evaluation pipelines
Safety guardrails
Automation in operations
Cross-functional collaboration
LangGraph / Agent SDK
Vector databases

Tools

PyTorch
TensorFlow
Metaflow
LangGraph
DSPy
Agent SDK
Vector databases

Job description

Netflix is seeking a leader to oversee the TLM Data Science and Engineering team, driving end-to-end content launch initiatives across our global catalog. You will build scalable AI/ML foundations, evaluate pipelines, and ensure reliable, fast title launches that meet creative and operational needs.

You will coach a diverse team of ML scientists and analytics engineers, partner with Product, Launch Operations, and engineering teams, and translate business goals into actionable roadmaps.

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