Software Engineer (L5), Ads Foundations Knowledge Graph job opportunity at Netflix Inc.

Netflix Inc Software Engineer (L5), Ads Foundations Knowledge Graph

Experience: General

Pattern: Remote

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Engineering

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Bachelor's (B.Sc.)

United States ..........United States Of America

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.We launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume 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 audiences that are deeply engaged.Our TeamThe Ads Platform Engineering team builds advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - 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, members only see the most appropriate ads for them.The Delivery Management & Ad Platform Foundations team focuses on two key areas - first is enabling the set up, proactive monitoring, and troubleshooting of advertisers campaigns to ensure delivery and the second is our foundational work that crosses all of the Netflix Ad Suite to ensure developers and end-users alike are as efficient as possible in achieving their day to day tasks.Our team is new and yet 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 from the competition and become a market leader in record time.We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.Skills & experience we’re seeking:Experience evaluating and architecting scalable graph solutions, including integration with existing enterprise data platforms and an understanding of tradeoffs in performance and reliability.Familiarity with semantic data modeling and ontology design for complex entities, focusing on representing diverse relationships and enabling flexible data access and querying.Proficiency with graph databases (e.g., Neo4j, Amazon Neptune) and knowledge graph data management best practices, including data governance, quality assurance (e.g., duplicate resolution), and entity lifecycle management (e.g., merging, automated enrichment) for large-scale datasets.Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.Worked closely with ad operations to enable campaign setup, targeting, reporting, and advertiser needs.Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented),Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.Excellent communication, negotiation, and relationship-building skills.Nice to haves:Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.Familiarity with legal compliance and changing landscape of ads regulations around the world.Experience working in the CTV space and knowledge of it’s unique constraintsOur 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 $100,000 - $720,000.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 Benefitshere.Netflix is a unique culture and environment. Learn morehere.Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want anaccommodation/adjustmentfor 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 diversitybuilds 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.

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Software Engineer (L5), Ads Foundations Knowledge Graph job opportunity at Netflix Inc.

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