Product Manager, Member Preferences & Identity

Netflix is one of the world's leading entertainment services, with 283 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.

At the core of our member experience is the need to deeply understand who our customers are and what entertainment they are truly enjoying so that we can best personalize everyone’s member experience. The Member Preferences & Identity product area is responsible for managing and innovating on the product features that enable these outcomes: profiles, profile settings, identity, new member onboarding, thumb ratings, and title personalization rewards. 

Leveraging available data, you will craft and communicate a strategic roadmap for this product area and see to its execution leading cross-functional teams of the industry’s best data scientists, consumer insights researchers, designers, machine learning and software engineers. As a high-leverage thought leader, you will have the ability to shape our thinking on how to evolve our product, and have a massive impact on how members enjoy our service. 

This role is based in our Los Gatos or Los Angeles office (preferred) in a hybrid model, but we are open to remote candidates who are on the West Coast. Some travel to Los Gatos and Los Angeles will be required if remote-based.

What we offer

• The opportunity to have a huge impact. The products and features you will be working on are central to the product experience of hundreds of millions of people around the world.

• Responsibility. Netflix offers true transparency and autonomy. is unique and is key to how we innovate.

• Learning. You will be creating customer experiences and business models that have never been done before. You will have the opportunity to work with stunning colleagues who value collaboration and from whom you can learn.

• A work environment where you can grow your career. Many of our top execs started out as individual contributors.

Who will be successful in this role?

You combine a technical background with a strong product sense and excellent communication skills to define, explain and execute your vision. You naturally gravitate towards experimentation as a way to validate your hypotheses while having a healthy skepticism when interpreting experimental results. In order to be successful in this position, you need to be able to work with world-class engineers, have the statistical acumen to collaborate with top-notch data scientists, the design sense to partner with a stellar experience design team, and the business sense to drive product goals and strategies. Demonstrated ability to build successful consumer-facing applications and algorithms, and a strong feel for the entertainment business are big pluses. 

Skills 

• 6+ years of product management experience ideally working with personalized consumer-facing products.

• Demonstrated leadership experience and success in a large and highly cross-functional organization.

• Demonstrated ability to ship consumer products that reflect rigorous systems and taxonomical thinking, ideally in the context of consumer-facing metadata.

• Experience managing consumer products leveraging machine learning (e.g. recommendation systems) with a proven record of prioritizing and successfully launching impactful products or platforms.

• Demonstrated experience working effectively with data scientists, designers, engineers etc. 

• 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.

• Strong product sense, particularly for algorithmic products.

• Background in data science or educational background in an applied quantitative field such as : Machine Learning, Statistics, Operations research, Information theory, Control theory, Econometrics or Computer Science is a plus

Generally, 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 $240,000 - $725,000.

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 .

Netflix is a unique culture and environment.  Learn more .

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.