Netflix

Manager, Performance Marketing

Los Angeles,California,United States of America · Full-time

Sponsorship not specified$215k-$346kDetected 118 days ago

AlgorithmsData ScienceProject ManagementStakeholder ManagementPerformance MarketingSignal ProcessingCommunication

About the role

The range for this role is $215,000.00 - $346,000.00.
We also offer paid leave of absence programs.
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.

Own, execute, and regularly optimize programmatic performance marketing campaigns across CTV, display, video, and audio channels, in addition to other paid media.
Deliver strong business impact (e.g. revenue, growth, and ROAS) across all key markets, contributing to Netflix's membership growth goals.
Lead the end-to-end project management for performance marketing campaigns, including managing timelines, deliverables, and communications to stakeholders.
Manage relationships with regional stakeholders to deliver a best-in-class partnership.
Partner with Brand, Product Marketing, Consumer Insights, and Country Marketers to ensure the delivery of high-quality, legally-compliant creative to potential members.
Collaborate with partner teams to develop a test-and-learn agenda aimed at unlocking new programmatic channels, ad formats, and scaling user acquisition activities.
Be a thought partner to a broad set of cross-functional partners, including Finance, Data Science, and Engineering, on key web and mobile solutions for optimal measurement needs.
Streamline ad operations, including partnering with platform reps to set up campaigns, upload creative into the platforms, build and QA ads, and set the ads live.
Maintain and enhance Netflix's relationships with user acquisition partners, unlocking additional value and opportunities.

Strong interpersonal skills and communication capabilities with the ability to work across both highly technical and highly creative teams.
Analytical with an ability to craft a clear and concise data-driven narrative.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.