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About the Role

The Technical Director of Media and Entertainment, AI Infrastructure is a senior engineering leader who will initially operate as an individual contributor at the intersection of deep AI infrastructure engineering and the business of media and entertainment, with a clear path to building and leading a team as the business scales. You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is to build with them, translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use field learnings to directly influence the M&E product roadmap. This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

Responsibilities

Own the Technical Blueprint: Personally architect infrastructure solutions for strategic M&E partnerships, studio-scale content production pipelines, agency data consolidation plays, and generative AI model deployments, engineered for real-world scale.
The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions, data lake locality, storage tiering, and inference optimization directly impact business models and operability.
Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth and translate vague business goals into precise engineering requirements.
Map the Transition: Identify a customer's position on the curve from legacy service bureau to AI-native tech platform and prescribe specific infrastructure interventions.
Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with critical ISVs in the media and entertainment landscape.
Define the Standard: Define reference architectures for how ISV tools run best on Nebius infrastructure and work with ISV engineering teams to build and publish these standards.
Decide What’s Worth Doing: Evaluate ISV and partner opportunities on their technical merit and strategic leverage, and determine which opportunities not to pursue.
Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap, working directly with Nebius’s global Head of Product and Head of Engineering.
Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

Requirements

12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite; operated at the top-to-top level with CTOs and VPs of Engineering.
Builder Mentality: Hands-on individual contributor role with a path to team building and leadership; experience transitioning from maker to multiplier.
Product-Minded: Experience defining a platform strategy, comfortable saying 'No' to requests that create technical debt and proposing better alternatives.
Ambiguity Tolerance: Thrives in environments with evolving requirements and builds roadmaps.
Forensic Mindset: Digs into kernel, logs, and P&L to find the truth.
Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration (K8s) including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
Inference Optimization: Understands model serving nuances (batch sizes, quantization, KV caching, latency tradeoffs) and can architect solutions for massive throughput and real-time demands.
Industry Fluency: Operated within the M&E ecosystem and can speak to infrastructure implications across Gaming, Multimodal Generative Models, AdTech, and VFX/Content Production.
Non-negotiable: Deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning.
Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them, render farm management, distributed simulation, asset pipeline tooling.
Strategic Empathy: Ability to distinguish between customers needing raw bare-metal access versus managed endpoints and prescribe the right path.

Skills

Cloud Infrastructure
Platform Engineering
Distributed Systems
Executive Presence
Technical Roadmap Presentation
C-Suite Communication
Top-to-Top Level Engagement
Startup Mentality
Maker to Multiplier Transition
Platform Strategy Definition
Technical Debt Management
Ambiguity Tolerance
Forensic Analysis
GPU Architectures (H100, L40s)
Kubernetes Orchestration (K8s)
Soperator
High-Performance File Systems
Parallel File Systems (Lustre, WEKA)
Data Lake Architecture
Networking Constraints (InfiniBand/Ethernet)
Inference Optimization
Model Serving
Batch Sizes
Quantization
KV Caching
Latency Tradeoffs
Massive Throughput Solutions
Real-time Demands
Media & Entertainment Ecosystem Fluency
Gaming Infrastructure
Multimodal Generative Models Infrastructure
AdTech Infrastructure
VFX/Content Production Infrastructure
VFX Pipelines
Studio-Scale Content Production Workflows
Cloud Tooling for Content Production
Render Farm Management
Distributed Simulation
Asset Pipeline Tooling
Content Transformation at Scale
Bare-metal Access Solutions
Managed Endpoint Solutions

Location

Remote (United States)
SF Bay Area (Preferred)
NYC (Preferred)

Work Type

Remote
Full-time

Experience Level

Senior
12+ years of experience

Salary/Compensations

$200,000—$245,000 USD

Benefits

100% company-paid medical, dental, and vision coverage for employees and families
401(k) Plan with up to 4% company match and immediate vesting
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to $85/month reimbursement for mobile and internet
Company-paid short-term, long-term, and life insurance coverage
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.
Built by engineers, for engineers, Nebius owns hard problems across compute, storage, networking, and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America, and Israel.
The team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.

Equal Opportunity

Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace.
Provides equal employment opportunities in all aspects of employment.
Does not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
Offers accommodations during the application process upon request.