Note: The job is a remote job and is open to candidates in USA. Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform for developers and enterprises. The Technical Director of Media and Entertainment, AI Infrastructure will act as a senior engineering leader, initially as an individual contributor, to solve complex infrastructure problems and influence the product roadmap.
Responsibilities
- Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships, studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC
- The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions, data lake locality, storage tiering, inference optimization, directly impact their business model and operability
- Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., 'We need lower rendering costs') into precise engineering requirements (e.g., 'We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%')
- Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward
- Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms
- Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards
- Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage, and be equally rigorous about what not to pursue
- Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction
- 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
Skills
- 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. You have operated at the top-to-top level, your counterparts are CTOs and VPs of Engineering
- Builder Mentality: This role begins as a hands-on individual contributor position. You will architect and ship solutions alongside partners and build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius's M&E infrastructure strategy defensible and scalable. As the business case develops, this role is explicitly designed to grow into a team-building and leadership function, with the expectation that you will recruit, shape, and run that team. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero, and you know how to transition from maker to multiplier
- Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer 'No' when a request creates technical debt, and proposing a better alternative
- Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it
- Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth
- Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet)
- Inference Optimization: You understand the nuances of model serving, batch sizes, quantization, KV caching, latency tradeoffs, and can architect solutions for both massive throughput and real-time (sub-50ms) demands
- Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors: Gaming, Multimodal Generative Models, AdTech, VFX / Content Production
- Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference
- 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. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible
- Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path
Benefits
- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Company Overview