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 Netflix, our mission is to entertain the world with a diverse set of content offerings and a world-class product experience that connects the right content with our audience of over 700M people around the world.
The Member Discovery Foundations team plays a crucial role in this mission by providing the centralized vision, strategy, and delivery of foundational capabilities that enable and scale across discovery use cases that are critical for how members find content they’ll love.
We are seeking an experienced Product Manager to lead our Personalization Foundations work. As Netflix has evolved from offering TV shows and Movies to including Games, Live events, and other content types, our systems and personalization algorithms need to become more flexible so we can provide the best experience across all content types.
Your focus will be on partnering closely with internal customers and stakeholders, including Product Management and Merchandising teams, to define and execute on the product strategy for foundational capabilities across our systems. Additionally, you’ll work on scalable personalization algorithm components to enable seamless merchandising and personalization across our growing catalog of diverse content types.
This role is based in our Los Gatos office (preferred) in a hybrid model, but we are open to remote candidates on the West Coast, with some travel to Los Gatos required.
As a PM at Netflix, you will:
Make a meaningful contribution. - We’re looking for experienced product leaders who are strategic and also like rolling up their sleeves.
Take on big responsibility. - Netflix offers PMs autonomy and substantial scope.
Be expected to learn every day and enjoy being curious. - You will be creating experiences that may not exist yet. You will work with stunning colleagues who value collaboration and from whom you can learn.
Contribute to and benefit from an environment where you can grow your career.
Many of our top execs started out as individual contributors.
To be successful in this position, you will partner with world-class teams across engineering and data science, flexing both your analytical acumen and ability to use your intuition to empathize with internal product customers.
The following attributes are highly valued on the PM team:
Ability to develop a long-term vision for personalization foundations while executing on immediate priorities.
Comfort with complex systems and understanding how they interact to create scalable solutions.
Skill in gathering requirements across teams and synthesizing them into coherent capability roadmaps.
Excellence in using data to inform product decisions while balancing technical constraints and business goals.
Ability to synthesize the complex into the simple and persuasive, and tell compelling stories with data.
Good balance between being collaborative and open to alternative views vs. decisive and clear communicating the vision for the team.
Comfort advocating for a path forward among ambiguous options.
An eagerness to seek feedback and improve.
Experience building scalable product capabilities across backend systems and ML algorithms (4-6 years) that enable and scale across a variety of discovery use cases.
Proven record of successfully launching and building foundational product systems in partnership with a complex group of internal product customers and stakeholders.
Demonstrated success in driving cross-functional initiatives and aligning internal stakeholders around a common vision.
Proven ability to map algorithmic solutions to foundational product problems.
Demonstrated leadership working effectively with engineers, ML researchers, and data scientists.
Excellent verbal and written communication skills and an ability to present technical content to non-technical audiences.
Very high attention to detail, with an ability to connect the smallest experience elements to the big picture goals at the company and team level.
Experience with A/A and A/B testing.
We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and better products for our customers.
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 $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 detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion 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.
