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Manager, Generative Workflows - Production Technology

职能工程
级别Lead级
地点Los Angeles, California, United States of America
方式现场办公
类型全职
发布2周前
立即申请

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.

The Opportunity
The industry is flooded with speculative GenAI roadmaps, but few are battle‑tested in production. This role turns internal and external GenAI experimentation into repeatable, production-ready guidance for the US & Canada (UCAN) slate as we deepen engagement with internal and external content production partners.

The Production Technology & Media Operations team (PT&O) aims to partner directly with filmmakers, showrunners, post and VFX executives, and vendors already using (or want to use) GenAI in UCAN productions. This hands-on technical expert will consult with productions on feasibility and value, similar to current Technology Managers in PT&O, separating signal from noise and mapping tools into real-world workflows. The goal is to identify where GenAI measurably improves quality, efficiency, or speed—and where it doesn’t—by grounding the tech in real creative and operational constraints.

The Manager, Generative Workflows bridges cutting-edge generative AI and on-the-ground production practice. You will:

  • Partner with filmmakers, production partners/vendors, and creative teams to demonstrate GenAI’s potential in storytelling, anchored in Netflix’s GenAI strategy.
  • Translate production needs into practical guidance and learnings for UCAN productions.
  • Help PT&O and Product/Legal/Content Operations convert field insights into policies, playbooks, and scaled education.

Key Responsibilities Discovery & scoping

  • Identify schedule, complexity, and iteration challenges across the UCAN slate where GenAI could help (e.g., previs, look dev, matte painting, temp VO/SFX, editorial assists, pitch/boards, comps), and build AI vs. traditional assessments (quality, schedule, risk, approvals) to recommend the best path.

Prototyping & delivery

  • Design rapid prototypes and case studies using tools like Runway, Veo 3, Luma, Eleven Labs, Stable Diffusion/Flux/ComfyUI, Unreal Engine, Nuke, Maya, Resolve, and Adobe; turn learnings into self‑serve pathways; consult on AI‑generated image/video/audio/3D assets; and define best practices for hybrid workflows.

Creative partnership & workflow optimization

  • Work with directors, showrunners, designers, editors, VFX supervisors, and vendors to align AI use to the creative vision (or guide to traditional methods), translating creative direction into prompts, tuning strategies, and pipeline steps. Map minimum viable AI workflows into pre‑, production‑, and post‑ pipelines, including data and technical specs (formats, metadata, color management, interchange).

Education, vendors, and governance

  • Create show‑ready demos, playbooks, and before/after breakdowns; run targeted upskilling; build relationships with UCAN GenAI vendors and talent and help define evaluation frameworks; interpret and apply Netflix policies on copyright, IP, guild/union rules, and data security; and clearly communicate positions on model/data sources, licensing, and watermarking.

Feedback to Netflix product & innovation teams

  • Aggregate field insights into recommendations for Production Solutions, Production, Product/Engineering, Legal/Policy, and Creative Innovation (e.g., quarterly readouts), and help prioritize internal tool investments vs. third‑party partnerships based on real production impact.

Qualifications Requirements

  • 15+ years in film/series/VFX production with hands‑on creative supervision or pipeline experience through major innovation cycles (nascent to scaled).
  • Demonstrated, hands‑on use of AI‑based image/video tools in production or high‑stakes prototyping.
  • Proficiency with:
  • VFX/Graphics/3D: Nuke, Maya, Unreal Engine; familiarity with color pipelines/OCIO.
  • Generative AI: Midjourney, Runway, Veo 3, Stable Diffusion/Flux, ComfyUI (and prompt/tuning best practices).
  • Editorial/Finishing: Adobe Premiere, Da Vinci Resolve, Final Cut Pro.
  • Strong grasp of end‑to‑end production and post (development and previs through VFX turnover, conform/online, delivery).
  • Excellent communication and storytelling skills; able to translate complex technical concepts for creatives and executives.
  • Portfolio showcasing GenAI‑integrated workflows, breakdowns, and before/after results.
  • An earnest and inclusive team player who will be a great steward of the Netflix culture

Preferred

  • Degree in design, film, computer graphics, HCI, or related field (or equivalent experience).
  • Experience designing and managing AI‑enabled pipelines on real productions.
  • Knowledge of ACES/OCIO color pipelines.
  • Familiarity with the GenAI talent and vendor ecosystem across UCAN.
  • Demonstrated interest in creative ideation and visual storytelling; comfort facilitating collaborative workshops.

Pragmatics

  • Los Angeles based role
  • Some travel within UCAN for on‑set tests, vendor visits, and production/post reviews.
  • Hybrid collaboration with PT&O, Production, Post, VFX, Creative Innovation, Industry Relations & Partnerships, and Product/Engineering.

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 $224,000.00 - $365,000.00.

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.

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关于Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

员工数

Los Gatos

总部位置

$280B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

2.8

薪酬

4.2

企业文化

3.9

职业发展

3.8

管理层

3.2

68%

推荐率

优点

Great benefits and compensation

Innovative and diverse culture

Supportive team and management

缺点

Fast-paced and high pressure environment

Work-life balance issues and long hours

High workload and expectations

薪资范围

1,877个数据点

Mid/L4

Mid/L4 · ANALYTICS ENGINEER

7份报告

$274,996

年薪总额

基本工资

$211,536

股票

-

奖金

-

$274,996

$358,605

面试评价

3条评价

难度

3.7

/ 5

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Onsite/Virtual Interviews

6

Final Round

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit