Director, Applied AI & Launch Excellence

Netflix; United States; Remote; USD 200,000 - 320,000; Full time

Benefits offered by this job

Health Plans

Mental Health support

401(k) Retirement Plan with employer‑m

Stock Option Program

Disability Programs

Health Savings and Flexible Spending

Family-forming benefits

Life and Serious Injury Benefits

Paid time off for full‑time employees

Flexible time off

Job summary

Netflix is seeking a senior leader to guide the Title and Launch Management (TLM) Data Science and Engineering team. You will oversee end-to-end initiatives for content launches, build robust evaluation pipelines, and implement safety guardrails to ensure fast, accurate, and scalable title launches globally.

You will mentor ML scientists and data engineers, partner across product, launch operations, and engineering, and foster a culture of ownership and continuous improvement within an inclusive

Qualifications

• 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 (offline metrics, online experiments, human evaluation).
• Experience introducing automation into an established operational workflow and managing the change with teams.

Responsibilities

• 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 diversity, 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-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 in an agile, high-quality development culture.
• Partner with Product Management, Launch Operations, Partner Integration Managers, and multiple Engineering teams to identify opportunities, shape strategy, define roadmaps, drive execution, and deliver rollout plans.
• Cultivate durable partnerships across product, engineering, and operations; communicate complex ideas clearly to various audiences; influence priorities beyond your domain to deliver outcomes.

Skills

Management experience

Software engineering fundamentals

LLMs

RAG

Agentic architectures

Evaluation pipelines

Safety guardrails

ML evaluation methods

Automation in ops

Cross-functional collaboration

Communication

Product mindset

Tools

PyTorch

TensorFlow

Metaflow

Job description

Netflix is seeking a senior leader to guide the Title and Launch Management (TLM) Data Science and Engineering team. You will oversee end-to-end initiatives for content launches, build robust evaluation pipelines, and implement safety guardrails to ensure fast, accurate, and scalable title launches globally.

You will mentor ML scientists and data engineers, partner across product, launch operations, and engineering, and foster a culture of ownership and continuous improvement within an inclusive