Jobs
Required Skills
Content merchandising
Catalogue curation
Program management
Data analysis
Communication
Project management
Netflix is one of the world's leading entertainment services, with over 300 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.
We are looking for a Merchandising Technical Operations expert in Paris, France to join a newly established Regional Merchandising team.
As key members of the EMEA Regional Product Merchandising team, Merchandising Technical Operations Managers are responsible for driving the execution of regional and country-specific catalogue merchandising strategies and programs. With a focus on enhancing the discoverability and engagement of our movies, shows and games, they are the guardians of our merchandising capabilities and responsible for having a deep understanding of our content, how our product and merchandising techniques work, and how we develop and optimize those techniques over time to scale and support our business.
The ideal candidate will have a strong background in content merchandising, catalog curation, and program management in app-based environments.
Key Responsibilities
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Be the operations partner to our Regional Catalogue Merchandising team, with a primary focus on France.
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Responsible for executing regional merchandising tactics and programs; setting them up in relevant tools, configuring local self-serve AB row collection tests, tracking for quality control, flagging discrepancies for review and troubleshooting as needed
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Ensure that the merchandising of shows, films and games to audiences is aligned with defined strategies
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Utilize a deep understanding of the content that Netflix produces and licenses to organize the catalogue effectively
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Execute and configure the eligibility logic and rules for multi-title experiences, working with Regional Catalogue Merchandising partners to brainstorm and apply new rules as needed
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Accountable for launching tactics and programs on time; this includes bringing in relevant partners, working with them to ensure deliverables are met, and maintaining operational timelines
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Track activation performance in merchandising dashboards
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Track “launch health” metrics for programs and elevate issues, as needed
Qualifications
General:
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5 years of experience in content merchandising operations, catalogue curation, program management, or related fields
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Knowledge of French and European entertainment industry trends
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Fluent in French and English
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Understanding of the product development processes
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Comfortable working in a fast-paced, dynamic environment with ambiguity.
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Experience in app-based environments is highly desired
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Highly motivated self-starter with the ability to work independently and drive alignment amid ambiguity
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Comfortable applying a combination of qualitative and quantitative methods to define success
Curation and Catalogue Evaluation:
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A nuanced understanding of movies, TV shows, or gaming who can surface thematic connections and relationships between titles
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Experience in metadata classification is highly beneficial
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Strong editorial judgment and creativity that can translate to creating compelling multi-title collections that resonate with target audiences
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Skilled in content evaluation and data analysis to draw insights and make data-driven recommendations
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General knowledge of information architecture, metadata and taxonomy concepts
Program Management:
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Skilled at translating business and product merchandising strategies into tactical solutions and deliverables
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Demonstrated ability to tackle large-scale and complex projects at an elevated level of execution
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Can develop repeatable frameworks and processes for consistent, efficient, and high-quality program delivery
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Comfortable with working in the weeds, but able to still keep the broader vision in mind
Tooling and Tech:
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Comfortable working with and analyzing large datasets to derive actionable insights
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General experience working with enterprise systems and integrations across tools
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Can quickly grasp new tech and digital product concepts
Communication and Collaboration:
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Strong written (memos and presentations) and verbal communication skills; can present complex concepts and processes to partner teams in a digestible format
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Good judgment on how and when to set context and bring in partners
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Ability to build strong relationships with stakeholders and effectively influence and contribute with concrete recommendations/next steps, across both regional and global teams
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Able to confidently represent a capability, team or org in a room with cross-functional groups
Candidates with backgrounds in the following areas are encouraged to apply:
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Content Merchandising Specialists
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Digital Product Strategists
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Digital Operations Managers
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Catalog Managers
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Metadata Classification Specialists
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.
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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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