Manager, Data Science & Engineering - Title & Launch Management

Netflix

Actively hiring
Remote (Usa - Remote, US) Posted 48 days ago $480,000$750,000 / year

At a glance

AI generated

TL;DR

As a senior leader in Netflix’s Title & Launch Management Data Science and Engineering team, you will oversee a multidisciplinary group of analytics engineers, data scientists, and machine learning experts tasked with building automated systems for content launch and discovery. Your daily responsibilities include guiding your team to design, deploy, and evaluate autonomous AI solutions that enhance Netflix’s title launch strategy, while also collaborating closely with cross-functional teams to automate large-scale content ingestion processes. You will leverage advanced technical skills in agentic systems and applied machine learning to identify new problem spaces and make strategic decisions, all while fostering a culture of rigorous engineering and scientific excellence. This role requires deep expertise in ML and autonomous systems, as well as experience leading data-focused teams and mentoring talent across multiple levels. Proficiency in Python, SQL, and other relevant tools is essential, along with a strong understanding of Netflix’s content offerings and the ability to drive significant business impact through innovative solutions.

Skills

Python SQL MachineLearning Kubernetes AWS CI/CD Docker Git Scikit-learn TensorFlow PyTorch PostgreSQL BigQuery Spark MLOps

What you'll do

  • Oversee the design, deployment, and evaluation of autonomous AI solutions for Netflix’s title launch strategy.
  • Coach and empower a team of analytics engineers, data scientists, and machine learning practitioners to enhance their impact.
  • Define and maintain high standards for technical excellence while fostering a culture of rigorous engineering and scientific rigor.
  • Develop a flexible, federated system enabling efficient, scalable content ingestion as Netflix continues to grow.
  • Cultivate partnerships with product, engineering, and content teams to align on long-term goals and deliver joint outcomes.

What we're looking for

  • Proven track record leading data and ML-focused teams with rigorous measurement.
  • Deep expertise in autonomous agentic systems and applied machine learning.
  • Experience mentoring and developing talent across multiple levels.
  • Master’s or PhD in Machine Learning, Computer Science, or related field.
  • 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
  • Strong communication skills to influence diverse stakeholders.
  • Commitment to driving end-to-end business impact beyond model building.

Market check

Salary context

This $480,000–$750,000 range sits above 100% of similar postings on FindRole.

Peer median band

$148,130$225,100

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$148,500$223,937

Middle half of comparable postings.

Based on 238 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 91 open roles on FindRole.

Listed pay typically runs $388,000–$610,000 across 87 roles with salary data.

Most-posted roles

View all roles at Netflix

More like this

Similar roles

Manager, Data Engineering

Intapp

Remote (Us Nc Charlotte, US) 10 days ago
Python SQL PostgreSQL Kubernetes Docker Azure Git CI/CD ETL pipelines REST APIs data warehousing enterprise data governance CRM SaaS emerging automation in data engineering
Remote

Manager, Data Engineering

McDonald’s Corporation

Chicago, Illinois, US 10 days ago $138,207$172,758
AWS GCP Agile JIRA Confluence ServiceNow Python SQL Kafka Hadoop Spark PostgreSQL Snowflake Docker CI/CD Git Terraform Kubernetes Prometheus Grafana

Manager, Data Engineering

Apex

US 13 days ago
GCP BigQuery Snowflake Cloud Storage CI/CD DevOps Kubernetes Terraform Python SQL Agile Scrum Jira Confluence API design Security best practices Data engineering best practices Compliance requirements Financial services compliance

Manager, Data Science

Capital One Financial

Plano, Tx, US 55 days ago
Python SQL R machine learning data analytics relational databases CI/CD