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Netflix

Manager, Core Ads Metric & Insights

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
360K-920K
Senior level
Remote
Hiring Remotely in USA
360K-920K
Senior level
Lead and manage ads analytics efforts at Netflix, focusing on metric standardization, data tool development, and actionable insights delivery.
The summary above was generated by AI

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.

 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. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space.

We are seeking an experienced Manager, Core Ads Metrics & Insights to lead and manage metric standardization, self-serve data tooling capabilities, and development of visually compelling tools to deliver needle-moving actionable insights for the Netflix Ads Tier. This critical role is responsible for the core ads metrics source of truth—obsessing about data consistency, standardization, and access. The individual will envision and lead purpose-built data tool development to deliver curated, actionable, and prescriptive insights. The ideal candidate will possess a deep track record of leading multi-disciplinary teams across a variety of data and product functions who thinks like a product owner to scale self-serve data access and insights visualization capabilities in innovative and pragmatic ways. Join our team and play a key role in shaping the future of our advertising business through data-driven insights! 

Responsibilities 

  • Hire, inspire, and grow high-performing analytic engineers and visualization 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 

  • Proven experience in a similar multi-disciplinary leadership role, with a strong focus on data-as-a-product solutions such as metric catalogues, self-serve data platforms, and purpose-built data visualization tools.  

  • 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 also have high EQ, so that you can be a product ambassador to the rest of the organization, and our business and global partners. 

  • You are a player-coach. You can develop roadmaps and strategies, execute 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. 

  • Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations. 

  • 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.

Netflix has a unique culture and environment.  Learn more 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.

Top Skills

Data Visualization
Machine Learning

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