Manager, Core Ads Algorithms - Data Science and Engineering at Netflix: Shaping the Future of Entertainment through Innovation

Join the Team Revolutionizing the Entertainment Industry

Netflix is a trailblazer in the entertainment services sector, boasting over 283 million paid members across more than 190 countries. With a vast library of TV series, films, and games catering to diverse genres and languages, Netflix has become synonymous with high-quality entertainment. The company's commitment to innovation and customer satisfaction has enabled it to stay ahead of the curve, and now, it's poised to make a significant impact in the advertising space with the introduction of a new ad-supported tier.

The Opportunity

As a Manager, Core Ads Algorithms - Data Science and Engineering at Netflix, you will play a pivotal role in shaping the foundation of the company's ads business. You will lead a team of Machine Learning Scientists, Data Scientists, and Analytics Engineers in developing and implementing cutting-edge models and algorithms that drive business success. This is a unique chance to be part of a pioneering effort, working closely with cross-functional teams to create a premium advertising experience that redefines the industry.

Key Responsibilities

• Leadership and Team Development: Hire, inspire, and grow a high-performing team of data science and engineering professionals, fostering an inclusive culture that encourages innovation and collaboration.
• Strategic Partnerships: Develop and maintain strong partnerships with stakeholders across the business, including product management, engineering, consumer insights, content, and strategy.
• Technical Vision and Roadmap: Create a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs, ensuring that technical outputs are consistently trustworthy and of high quality.
• Ambassadorial Role: Act as a bridge between the Product, Engineering, Strategy, and Data Science and Engineering teams, possessing a deep understanding of the Netflix Ads product and its workings.
• Technical Excellence: Ensure that the team produces high-quality technical outputs that influence and impact the business, driving success on end-to-end initiatives.

The Ideal Candidate

To excel in this role, you should possess a unique blend of technical expertise, leadership acumen, and business savvy. The ideal candidate will have:

• Demonstrated Leadership Experience: Proven track record of leading cross-functional projects, overcoming challenges, and proposing solutions, with a strong ability to inspire and grow high-performing teams.
• Quantitative and Qualitative Skills: Ability to assess and understand complex systems, with high EQ to effectively communicate with both technical and creative audiences.
• Technical Expertise: Experience building and leading hybrid Data Science and ML teams in the Ads space, with a strong background in developing and implementing machine learning models and algorithms.
• Communication and Collaboration: Superb communication skills, with the ability to cultivate strong working relationships, write meticulously, and give outstanding presentations.
• Business Acumen: Capacity and passion to translate business objectives into actionable analyses, using analytics to guide product and business decisions with quantitative recommendations.
• Passion for Entertainment: A genuine passion for TV and movies, with a keen interest in defining the future of entertainment.

What We Offer

Netflix provides a comprehensive compensation package that includes:

• Competitive Salary: A salary range of $360,000 - $920,000, determined based on market indicators, job family, background, skills, and experience.
• Stock Option Program: Opportunity to choose each year how much of your compensation you want in salary versus stock options.
• Comprehensive Benefits: Health Plans, Mental Health support, 401(k) Retirement Plan with employer match, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• Paid Leave and Flexible Time Off: Full-time hourly employees accrue 35 days annually for paid time off, while full-time salaried employees are entitled to flexible time off.

Our Culture and Environment

Netflix is known for its unique culture and environment, which values diversity, innovation, and collaboration. As an equal-opportunity employer, we celebrate diversity and recognize that diversity of thought and background builds stronger teams. Our approach to diversity and inclusion is serious and thoughtful, and 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.

Career Growth and Learning Benefits

As a Manager, Core Ads Algorithms - Data Science and Engineering at Netflix, you will have opportunities for career growth and professional development. You will be working on cutting-edge projects, collaborating with talented professionals, and contributing to the company's mission to entertain the world. Our culture encourages innovation, experimentation, and learning, providing a stimulating environment that fosters growth and success.

Join Us

If you're a motivated and talented professional looking to make a significant impact in the entertainment industry, we encourage you to apply for this exciting opportunity. As a Manager, Core Ads Algorithms - Data Science and Engineering at Netflix, you will be part of a pioneering effort that is shaping the future of advertising and entertainment. Don't miss out on this chance to join our team and be part of something truly innovative.

Apply now and take the first step towards a rewarding career with Netflix!