採用

GenAI Technology Integration Manager, Production Solutions - APAC
Tokyo,Japan
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Healthcare
•Mental Health
•401(k)
•Equity
•Flexible Hours
•Parental Leave
•Healthcare
•Mental Health
•401k
•Equity
•Flexible Hours
•Parental Leave
Required Skills
AI image production
AI video production
Production management
VFX
Post-production
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.
| Production Technology
Our Production Technology team sets technical standards, drives industry innovation, and provides direct production support across Netflix's global slate. We work hands-on with creative teams, crews, post facilities, and internal partners - from capture through delivery - ensuring our workflows balance creative ambition with technical excellence. Beyond support, we actively explore emerging opportunities in sound, imaging, and production technology, always grounded in real-world filmmaking practice.
| Role Overview Production Technology
We are seeking a GenAI Technology Integrations Manager to connect cutting-edge AI technologies with real-world production practice. This role partners with filmmakers, production partners, and vendors, and creative professionals to explore how AI can enhance storytelling. The role also works closely with internal production teams to ensure AI workflows are applied effectively, responsibly, and with clear creative intent. You bring strong creative sensibility, technical understanding, and clear communication skills. You will help assess team readiness, guide AI adoption, and support higher creative quality, faster iteration, and smarter spend. You will also work with Product, Legal, and Content Operations partners to turn field learnings into practical guidance and scalable education, helping teams confidently balance traditional approaches with GenAI tools.
| Key Responsibilities
- Identify opportunities where AI can be used effectively, whether for image, sound, or other creative elements.
Develop content, case studies, and live demonstrations that showcase how to leverage GenAI tools most effectively.
- Consult on specific creative challenges and help determine if AI or traditional methods are best suited.
Collaborate closely with internal production team members, directors, producers, and external creative leads to align AI approaches with the core creative vision and find ways to integrate AI into pre- and post-production workflows.
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Guide the creation of final generative materials to meet creative and technical quality standards.
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Provide time and resource assessments for AI vs. traditional production approaches.
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Collect and champion partner and internal feedback, translating insights into product improvements and internal recommendations.
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Ensure compliance with copyright, IP, and data security standards when applying AI workflows.
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Identify and recommend vendors, studios, and freelance talent with the right expertise in generative image, video, audio, and 3D assets.
| Qualifications Required:
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10+ years of experience in film/series/gaming/VFX production.
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Hands-on experience with AI-based image and video production.
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Proficiency in key industry tools such as Unreal Engine, Adobe Premiere, Midjourney/Veo/Runway, etc. but not limited to.
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Strong grasp of end-to-end production and post (from development and previs through VFX turnover, conform/online, and delivery).
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Excellent communication skills to bridge creative and technical teams.
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Skilled at translating complex topics into simple presentations geared towards internal and external audiences.
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Portfolio is required showcasing AI-integrated workflows, breakdowns, and before/after results.
Preferred:
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Degree in design, film, technology, or related fields.
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Experience designing and managing AI production pipelines on a project basis.
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Knowledge of industry-standard data formats, color pipelines, and asset management systems.
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Familiarity with the AI talent and vendor ecosystem.
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High interest in creative ideation and visual storytelling.
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.
インクルージョンは当社が重視する価値観の一つであり、すべての候補者に対して有意義な面接体験を提供できるよう努めています。採用プロセス中に障害やその他の理由で配慮や調整が必要な場合は、採用担当者にご相談ください。
私たちは、多様性が強いチームを育む基盤であると考え、雇用主として機会平等を推進しています。多様性とインクルージョンを重視し、真摯な姿勢でその推進に取り組んでいます。人種、民族、宗教、肌の色、出身地、性別、性自認、性表現、性的指向、年齢、婚姻状況、軍歴、障害の有無に関わらず、一切の差別を行いません。
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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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Production Assistant
83 reports
$52,604
total / year
Base
$52,604
Stock
-
Bonus
-
$36,552
$75,706
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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