Manager, Audience & Identity - Ads DSE ID-13607
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.
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Job, No Degree, Remote Phone Job, $35/hr, Remote, No Degree, Part-Time, Weekend Virtual Assistant, $42/hr, Remote, No Experience, Evening Remote Customer Support, $42/hr, Weekend, No Experience Virtual Assistant, Remote, $50/hr, Part-Time, Night Shift Virtual Assistant, Remote, $40/hr, Evening, No Experience Customer Support, $35/hr, Remote, Evening/Night Job, No Degree Data Entry, $40/hr, Remote, Night Shift, College Student Job Phone Job, $35/hr, Remote, Part-Time, College Student Evening Virtual Assistant, Remote, $45/hr, No Experience Remote Data Entry, $40/hr, Evening/Night Job, No Experience Evening Virtual Assistant, Remote, $40/hr, No Experience Remote Moderator, No Degree, $50/hr, Evening, Weekend Job Live Chat Support, $35/hr, Remote, No Experience Required Remote Virtual Assistant, $40/hr, Evening, Part-Time JobIn April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!
The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and build Machine Learning models and algorithms in Ads scoring, ranking, pacing, and planning, all with the ultimate goal of creating more choices and joy for our members. As a leader in this space, you will work closely with partner teams in Product and Engineering to think big about our business goals and draw the blueprint for how we can achieve them through models and algorithms. Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build models and workflows, provide recommendations and drive success on end-to-end initiatives in this 0 - 1 space.
Responsibilities:
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Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
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Lead strong partnerships with stakeholders from across the business - from product management, engineering, consumer insights, content, and strategy.
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Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
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Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
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Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
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Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence & impact the business.
The Ideal Candidate:
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Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
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Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
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You are a player-coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
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Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
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Experience building and leading hybrid Data Science and ML teams in the Ads space.
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Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
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A passion for TV and movies and defining the future of entertainment.
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 $360,000 - $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 detail about our Benefits 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.
