ML Director, Supply and Decisioning - Ads DSE

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.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming 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 engaged audiences.

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. We are seeking a Director, Supply and Decisioning Data Science and Engineering - who will own the Science teams for Forecasting, Ads Core Algos, (including scoring, budget planning), Media Planning (optimization), Audiences and Identity, and revenue optimization. This space is critical in setting us up for the next phase of growth in our Ads journey, and this leader will drive strategy cross-functionally and own implementation.

As a leader in this space, you’ll work closely with partner teams (including Engineering and Product Management) to think big picture about our business goals and how we achieve them through data science, analytics and ML. Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build workflows, provide recommendations and drive success on end-to-end science initiatives in this 0 -1 space.

Responsibilities

• Hire, inspire, and grow high-performing People Leaders and teams of data scientists, MLEs/MLSs, and analysts.

• Bring a strong ad-tech point of view and influence the overall strategy and own the science vision for the Supply and Decisioning space with Ads.

• Lead strong partnerships with stakeholders from across the business - from product management, engineering, design, consumer insights, content, to strategy.

• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.

• Develop a team vision 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 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 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 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

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 $610,000 - $1,870,000.

Netflix provides comprehensive benefits including Health Pla