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Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
At Netflix, we want to entertain the world and constantly innovate how entertainment is imagined, created, and delivered to a global audience.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team
The Ads Platform team at Netflix is dedicated to creating a world-class advertising ecosystem that drives our advertising business. This team's mission is to develop advanced technology that ensures exceptional experiences for both our members and advertisers. Our responsibilities encompass a broad spectrum of products, ranging from sales and media planning to optimizing advertiser outcomes and execution. This includes inventory and order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance.
We use several Netflix investments and innovations - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding, and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving so that members only see the most appropriate ads for them.
Our team is faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate us and become a market leader in record time. Our roles come with expectations of delivering in a rapid clip, comfort with lofty goals and big ambitions, the visibility that comes with strategic initiatives, and responsibility and an appetite to operate like a startup within an established company.
We are looking for a people manager to join us on this journey, to lead some exciting initiatives, and the talented engineers who work on realizing our ambitious vision.
As an Engineering Manager you will:
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Drive success in a fast paced, flat organization with minimal process and a heavy emphasis on ownership.
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Support your team by contextualizing the larger vision, enabling prioritization and fostering high focus and executional excellence.
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Operate as an ambassador of the Netflix Culture
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Create a dream team by hiring, retaining, and growing high performing talent.
Skills & experience we’re seeking:
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10+ years of total experience with 3+ years of management experience in building and leading diverse software engineering teams.
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A strong product mindset along with experience in delivering large complex projects collaborating with a variety of cross-functional stakeholders that are technology, operations or business focused.
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General understanding of the advertising marketplace and landscape.
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Strong analytical and strategic thinking with demonstrated product sense and leadership in the working environment
You will stand out as a candidate if you have:
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Proven experience building scalable platform foundations that govern how data is exchanged, configured, and controlled across organizational boundaries.
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Expertise in developing batch orchestration frameworks and shared tooling that abstract partner-specific logic into standardized integration layers and reusable components.
Nice to haves:
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Familiarity with legal compliance and changing landscape of ads regulations around the world.
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Familiarity with ML and advertising systems that leverage data to drive optimal outcomes for the users and the business.
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Experience working in the CTV space and knowledge of its unique constraints
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Awareness of ads industry technology standards (e.g. VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
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Strong understanding of privacy-forward data collaboration techniques and secure identifier handling across third-party ecosystems.
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Demonstrated ability to grow engineering teams in emerging domains while serving as the technical and operational point of contact for complex vendor ecosystems.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Production Assistant
83 reports
$52,604
total / year
Base
$52,604
Stock
-
Bonus
-
$36,552
$75,706
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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