FAQs
What is the main focus of the Plans & Pricing Strategy team at Netflix?
The main focus of the Plans & Pricing Strategy team is to improve monetization strategies through new business initiatives and pricing optimization, ultimately enhancing member satisfaction and long-term growth.
How many years of experience are required for this role?
The role requires 2-5 years of experience.
What skills are necessary for this position?
Necessary skills include building detailed and complex Excel models, experience using SQL, strong communication skills, and an economics-oriented mindset for optimizing trade-offs.
What type of work environment should I expect?
You should expect a fast-paced, demanding, and sometimes nebulous work environment.
What is included in Netflix's compensation structure?
Netflix's compensation structure consists solely of an annual salary, without bonuses, and allows you to choose each year how much of your compensation you want in salary versus stock options.
What is the salary range for the Associate, Finance & Strategy, Plans & Pricing position?
The salary range for this role is $50,000 to $240,000.
What kind of benefits does Netflix provide?
Netflix provides comprehensive benefits, including health plans, mental health support, a 401(k) retirement plan with employer match, stock option programs, and paid leave of absence programs, among others.
How much paid time off do full-time employees receive?
Full-time hourly employees accrue 35 days annually for paid time off, while full-time salaried employees are entitled to flexible time off immediately.
Does Netflix have a commitment to diversity and inclusion?
Yes, Netflix celebrates diversity and does not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Is there a focus on collaboration with data scientists and engineers in this role?
Yes, there is a focus on collaborating with data scientists and engineers to deepen technical skills and drive business outcomes.