At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in 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 Team The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, 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. Ads Inventory Management & Forecasting team is dedicated to developing and maintaining E2E inventory forecasting, underwriting and simulation systems. Forecasting enables near-realtime data-driven decisioning for advertisers, agencies, DSPs and Netflix stakeholders who utilize forecasting to plan, optimize and traffic campaigns. Simulation supports experimentation, analytics, scenario planning, pricing and packaging use cases from Sales, Account, Pricing and Science teams. The forecasting and simulation team needs to build distributed systems that are highly efficient and scalable to handle large and growing ads data and intense computation, while still remaining easy to add, reuse and enhance. The team also needs to work closely with the science team to productionize ML models and optimization algorithms. 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.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees