Product Manager, Content and Business Algorithms: Promotional Media

Netflix is one of the world's leading entertainment services with over 238 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 Content and Business Product team builds a suite of tools and products to scale the operations behind taking a Netflix show from concept to streaming. This role will upscale these tools and products with algorithms and other capabilities.  

As a Product Manager on the Content and Business Algos team at Netflix, you get to apply Machine Learning at high scale and high quality, in the service of creative excellence and user impact.

Location: This role can be remote-based in the United States or based in our Los Angeles or Los Gatos offices in a hybrid model.

In this role, you will:

• Incubate Machine Learning capabilities with a talented and motivated team of applied researchers and analysts
• Integrate these capabilities into enterprise-grade tools, in partnership with tooling and workflow Product Managers
• Discover new needs from our content teams that can be met with Machine Learning capabilities.
• This role requires the use of Computer Vision to deeply understand our content: stills to clips to a full title. It also requires familiarity/experience in applying content understanding in retrieval and recommendations.

Skills needed:

• 3+ years of Product Management experience required
• Demonstrated experience in setting joint goals and roadmaps with UX or tooling/product teams.
• Previous experience in Machine Learning, Algo and AI-focused product management roles is required
• Ideal candidate has experience with and understanding of developer products
• Ideal candidate has experience working with SaaS or AI enterprise services
• Good understanding of the ML Lifecycle (Platform and/or Infrastructure needs, data labeling, etc.)
• Great to have experience with emerging generative AI tech and methodologies.
• Excellent written communication skills and ability to present technical content to non-technical audiences. 
• Ability to partner with different functions to ensure that your solutions drive real business impact. Strategic thinking and ability to incorporate larger business context into algorithm and product development.
• Postgraduate education (MS or PhD) in an applied quantitative field is nice to have, such as: Machine Learning, Statistics, Operations Research, Information Theory, Control Theory or Econometrics

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 $120,000 - $515,000.

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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

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.