Manager, Member Experience

Netflix

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$523,000–$920,000 / yr
Posted
32 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $722k
$57k most similar roles pay here $1012k

This role pays more than 99% of similar roles. Most pay $160,400–$227,250 — the shaded band above. At the midpoint, this role pays about $722k versus about $194k 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 28 open roles on FindRole.

Listed pay typically runs $440,000–$750,000 across 27 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Manager, Member Experience

Manager, Member Experience - Ads DSE leads a team within the Ad Marketplace group in the Ads Data Science and Engineering organization. This role focuses on understanding how delivery policy and decisioning impact member experience, specifically regarding ad load, frequency caps, insertion, and podding optimization. The manager oversees a team of Machine Learning Scientists, Data Scientists, and Analytics Engineers to build causal inference and predictive models that quantify these impacts for ad delivery optimization. You will collaborate with Product and Engineering partners to define blueprints for business goals through models and algorithms in a nascent space. Key requirements include experience leading hybrid Data Science and ML teams in the ads space, proficiency in translating business objectives into actionable analyses, and the ability to provide quantitative recommendations while managing cross-functional projects across technical and creative audiences.

What you'll do

  • Hire, inspire, and grow a high-performing team of Machine Learning Scientists, Data Scientists, and Analytics Engineers.
  • Develop a team charter and roadmap that aligns with evolving business needs and optimizes team impact.
  • Build causal inference and predictive models to quantify the impact of ad delivery policies on member experience.
  • Translate complex business objectives into actionable analyses and provide quantitative recommendations to guide product strategy.
  • Act as a technical ambassador between Product, Engineering, Strategy, and Data Science teams regarding the ads product.
  • Oversee the development of algorithms for ad load, frequency caps, insertion, and podding optimization.
  • Ensure the team produces high-quality technical outputs that directly influence business outcomes in the 0-1 space.

What we're looking for

  • Experience building and leading hybrid Data Science and Machine Learning teams in the advertising space.
  • Demonstrated leadership experience to organize cross-functional projects and drive technical roadmaps.
  • Ability to translate complex business objectives into actionable analyses and quantitative recommendations.
  • Proficiency in developing causal inference and predictive models for ad delivery optimization.
  • Strong communication skills to present effectively to both technical and creative audiences.
  • Ability to act as a player-coach who can perform high-level strategy and hands-on technical execution.
  • Capability to manage and grow a team of Machine Learning Scientists, Data Scientists, and Analytics Engineers.

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