Jobs

Screenings Researcher, Content Consumer Insights
Los Angeles,California,United States of America
·
On-site
·
Full-time
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4mo ago
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Like our members, we love entertainment and are big believers in the power of the consumer's voice when delivering best-in-class content.
As the Content Consumer Insights team, we work closely with business partners to inspire creative decision-making by providing rich insights into genres, content opportunities, audiences, and evolving content tastes. We strive to understand the underlying needs, motivations, and emotions that drive love for our TV shows and movies so we can help Netflix continue to create stories that will excite members around the world.
Screening work-in-progress shows and movies are a critical part of that mission – this enables us to infuse consumer input into the production process, helping to make our content more appealing for our global audiences. Netflix Preview Club is our fast-growing exclusive screening program where members watch early versions of TV shows and movies before they’re released on their Netflix app. This program is a deeply cross-functional effort, and we’re looking for someone to play a lead role in Netflix Preview Club’s continued growth.
As a Screenings Researcher, you will be responsible for designing and executing research screenings for original films and TV shows. You will collaborate with Consumer Insights researchers, Operations teams, Post production, and more to ensure that screenings are set up for success. This is a hands-on role where you will analyze and synthesize consumer feedback to ensure our creatives have sharp, actionable insights when it matters most.
The role is primarily focused on screenings, though it will include opportunities to follow titles throughout the lifecycle.
What You’ll Do
Facilitate screenings end-to-end: including questionnaire and discussion guide design, logistical coordination, fielding, and reporting.
Partner across functions: collaborate with screening operations, post-production, and CI researchers to ensure screenings deliver on their strategic goals.
Continuously improve screening craft: contribute to the evolution of our tooling, templates, and methodology.
Analyze and synthesize audience feedback across titles: blend qualitative and quantitative signals into clear narratives and actionable implications.
Support other research moments: contribute to additional phases of research throughout the title lifecycle.
About You
You have hands-on experience conducting content research and screenings.
You are proficient in designing research instruments (e.g., questionnaires, discussion guides) and have a strong understanding of both qualitative and quantitative research methods.
You are an excellent analyst, able to interpret data, identify patterns, and translate findings into actionable recommendations.
You are a clear and effective communicator, both in writing and verbally, and can tailor your message for different audiences.
You are highly organized, detail-oriented, and able to manage multiple projects simultaneously.
You are comfortable working cross-functionally and building strong relationships with stakeholders across different teams.
You are proactive, resourceful, and able to work independently with minimal supervision.
You are passionate about entertainment and excited to help shape the stories that reach millions of viewers worldwide.
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.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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