Job Information
Netflix Senior Manager, Analytics Engineering - Ads Insights and Tooling in New York, United States
Netflix is one of the world’s leading entertainment services with 278 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.
The Role
We recently launched a new ad-supported tier 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 deeply immersed audiences.
Our Team
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 develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. As a leader in this space, you’ll work closely with partner teams to think big picture about our business goals and how we achieve them through analysis and tooling. You will lead the team that enables Netflix to understand ads performance, enhance targeting capabilities, and inform advertiser effectiveness via developing Measurement solutions and creating business metrics. Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space.
Responsibilities
Hire, inspire, and grow high-performing data scientists and analytics engineers. Lead strong partnerships with stakeholders from across the business - from product management, engineering, consumer insights, content, and strategy.
Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business.
The Ideal Candidate:
Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but you should also have a high EQ so that you can be a product ambassador to the rest of the advsertising organization.
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.
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.
Experience building and leading hybrid Data Science and Analytics teams in the Ads space.
Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations.
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 $480,000 - $1,200,000.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.