Engineering Manager, Data Clean Room

Netflix; United States; On-site; USD 190,000 - 920,000; Full time

Job summary

Join a leading entertainment service as an Engineering Manager for the Data Clean Room team. This role focuses on building core ads data infrastructure and leading talented engineers to realize ambitious goals in a dynamic environment. The position emphasizes ownership, strategic thinking, and collaboration across functions to enhance the advertising ecosystem while ensuring data privacy and integrity.

Benefits

Health Plans

401(k) Retirement Plan with employer match

Stock Option Program

Flexible Time Off

Paid Leave of Absence Programs

Qualifications

• 10+ years of experience with 3+ years in management.
• Expertise in building cloud-based data clean rooms.

Responsibilities

• Drive success in a fast-paced organization with minimal process.
• Support team by contextualizing the larger vision and enabling prioritization.

Skills

Cloud Computing

Data Privacy

Analytical Thinking

Leadership

Education

Bachelor's Degree

Job description

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Netflix is one of the world's leading entertainment services, with 283 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.

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 seeking to build a core ads data infrastructure / clean room for our ads platform that spans across targeting, measurement, attribution, audience, and data onboarding while enabling privacy preserving data collaboration efforts with advertiser and agency partners.

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

• Drive success in a fast paced, flat organization with minimal process and a heavy emphasis on ownership.
• Support your team by contextualizing the larger vision, enabling prioritization and fostering high focus and executional excellence.
• Operate as an ambassador of the Netflix Culture
• Create a dream team by hiring, retaining, and growing high performing talent.
  
  

Skills & Experience We’re Seeking

• Expertise in architecting, building and operating a cloud based data clean room capable of efficiently handling very large data sets.
• Experience in building APIs and services that leverage data technologies for real-time analytics and processing within a data clean room environment.
• Ability to develop and maintain secure data sharing methodologies that prioritize privacy and data integrity.
• Experience in designing solutions with cloud interoperability i.e spanning across multiple cloud providers and regions.
• Working knowledge of data minimization/anonymization/pseudonymization techniques, Privacy Enhancing Technologies (PET), confidential computing, trusted infrastructure, privacy-preserving modeling and inference.
• Understanding of how data clean rooms integrate with identity graphs and audience onboarding systems.
• 10+ years of total experience with 3+ years of management experience in building and leading diverse software engineering teams.
• 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.
• General understanding of the advertising marketplace and landscape.
• Strong analytical and strategic thinking with demonstrated product sense and leadership in the working environment
  
  

Nice To Haves

• Familiarity with legal compliance and changing landscape of ads regulations around the world.
• Familiarity with ML and advertising systems that leverage data to drive optimal outcomes for the users and the business.
• Experience working in the CTV space and knowledge of its unique constraints
• Awareness of ads industry technology standards (e.g. VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
  
  

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. 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. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

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.

Job is open for no less than 7 days and will be removed when the position is filled.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Entertainment Providers

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