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Product Manager, Ads Platform - Data Clean Room Measurement
<p><a href=" target="_blank"><u>We recently launched a new ad-supported tier</u></a><span> to offer our members with 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 immersed.</span></p><p></p><h2><span>Our Team:</span></h2><p></p><p><span>The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers. </span></p><p></p><p><span>Our team is new and yet faced with the 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 differentiate Netflix from other ad-supported streaming services.</span></p><p></p><p><span>We are looking for a Product Manager in the advertising space who is excited to join us on this journey.</span></p><p></p><h2><span>About the Role:</span></h2><p></p><p><span>This PM will be responsible for ads measurement products enabled via data clean rooms. This role will focus on building measurement products for customers to utilize in data clean rooms so they can evaluate Netflix’s ad campaign performance in a privacy-centric way. These customers include advertisers and agencies, as well as third party partners such as measurement or other ad tech vendors.</span></p><p></p><p><span>This PM will:</span></p><ul><li><p><span>Partner with engineering and data science teams to launch data clean room-based products that meet the needs of advertisers, agencies, third-party measurement vendors, and other ad tech providers</span></p></li><li><p><span>Prioritize the product roadmap, managing near-term product delivery while formulating a long-term product strategy to provide the most relevant and innovative measurement to Netflix’s advertisers</span></p></li><li><p><span>Collaborate with cross-functional teams in sales, solutions engineering, measurement analysts, ad operations, marketing, strategy, policy, and legal to bring products to market and increase adoption</span></p></li><li><p><span>Be an expert on the methodologies of our growing measurement suite, including campaign delivery metrics, viewability, audience reach and frequency, attribution, and conversion lift</span></p></li></ul><p></p><h2><span>We’re seeking a candidate who has:</span></h2><ul><li><p><span>5+ years of Product Management experience with a proven record of successfully launching and scaling platforms</span></p></li></ul><ul><li><p><span>Must have intermediate to advanced knowledge of SQL. </span></p></li><li><p><span>Experience working in cloud-based data warehouses or data clean rooms, including work on relational databases, proficiency in API connectivity, and a working knowledge of machine learning and Python applications. </span></p></li><li><p><span>Should have direct experience working in at least one major public cloud: Amazon Web Services, Google Cloud Platform, Microsoft Azure </span></p></li><li><p><span>Delivered a roadmap and executed on ad measurement and/or data clean room products. </span></p></li><li><p><span>Has a thorough understanding of the ads measurement and identity ecosystems, including CTV experience and familiarity with measurement and ad tech vendors. </span></p></li><li><p><span>Has experience collaborating closely with advertisers, agencies, measurement partners, and publisher sales and measurement analyst teams.</span></p></li><li><p><span>Has experience collaborating with Engineering, Data Science, and other Product Teams. </span></p></li><li><p><span>Has familiarity with legal compliance and the changing landscape of ads data privacy regulations around the world.</span></p></li></ul>
