Manager, Ad Revenue Optimization - Data Science and Engineering

Netflix

About The Position

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. In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business. The Revenue Optimization team in Ads Data Science and Engineering plays a crucial role in supercharging Netflix’s ad business growth through pricing, packaging and inventory optimization. The mission for this team is to build a healthy, competitive, and innovative ad marketplace that balances long term Netflix revenue, member experience, and advertiser outcomes. We are looking for a visionary leader with strong domain expertise in digital advertising marketplace optimization, to collaborate closely with partner teams and strategize on overarching business goals. Your team will be at the forefront of developing and implementing advanced optimization algorithms, statistical models and marketplace design, driving significant enhancements to our advertising systems. With a commitment to analytical rigor, your team will evaluate ideas, dissect problems, build workflows, provide recommendations, and lead end-to-end analytics initiatives in this transformative space.

Requirements

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 Hollywood and global partners.
You are a player-coach. You can develop roadmaps and strategies, 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 MLE teams in the Ads space.
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

Responsibilities

Hire, inspire, and grow high-performing data / ML / domain scientists and analysts.
Lead strong partnerships with stakeholders from across the business - from product management, engineering, finance, 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, Finance, 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.

Benefits

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.

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