Manager, Generative Workflows - Production Technology

Netflix•Los Angeles, CA

1d•Hybrid

About The Position

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. You will translate production needs into practical guidance and learnings for UCAN productions, and help PT&O and Product/Legal/Content Operations convert field insights into policies, playbooks, and scaled education.

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.
Proficiency with: Generative AI: Midjourney, Runway, Veo 3, Stable Diffusion/Flux, ComfyUI (and prompt/tuning best practices).
Proficiency with: Editorial/Finishing: Adobe Premiere, DaVinci 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

Nice To Haves

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.

Responsibilities

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.
Design rapid prototypes and case studies using tools like Runway, Veo 3, Luma, ElevenLabs, 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.
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).
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.
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.