Manager, Member Experience - Ads DSE

Netflix

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$523,000–$920,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $722k
$58k most similar roles pay here $1012k

This role pays more than 99% of similar roles. Most pay $150,000–$223,000 — the shaded band above. At the midpoint, this role pays about $722k versus about $186k for comparable roles.

Based on 239 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 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Manager, Member Experience - Ads DSE

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As a Senior Director on Netflix's Ad Marketplace team, you will lead the Member Ad Experience team in developing causal inference and predictive models to enhance member ad experiences while balancing long-term revenue goals. Your day-to-day involves hiring and mentoring high-performing data scientists and engineers, fostering strong partnerships with cross-functional teams like Product Management and Engineering, and driving end-to-end initiatives through rigorous analytical methods. Ideal candidates possess extensive leadership experience in organizing and executing complex projects within the ads space, coupled with a deep understanding of Netflix's ad product ecosystem. Strong quantitative skills, excellent communication abilities, and a passion for entertainment are essential as you translate business objectives into actionable analyses that influence product development and strategy.

Skills

Python SQL Machine Learning Data Science CI/CD AWS Kubernetes Docker Git Jupyter Notebook PostgreSQL Spark Hadoop Scikit-learn TensorFlow PyTorch Tableau PowerBI

What you'll do

  • Hire and lead a team of Machine Learning Scientists, Data Scientists, and Analytics Engineers.
  • Develop causal inference and predictive models to quantify impact on member ad experience.
  • Build end-to-end initiatives using rigorous analytical methods and provide actionable recommendations.
  • Create a roadmap that optimizes the team's impact while reflecting evolving business needs.
  • Act as an ambassador between Product, Engineering, Strategy, and DSE teams for Netflix Ads.

What we're looking for

  • Proven leadership in hiring and developing high-performing data science teams.
  • Extensive experience building and leading hybrid Data Science and ML teams in ads space.
  • Strong partnership skills to collaborate with diverse stakeholders across business units.
  • Ability to translate complex business objectives into actionable quantitative analyses.
  • Deep understanding of Netflix Ads product and capability to act as an ambassador.
  • Excellent communication and presentation skills for both technical and creative audiences.

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