Technical Director, Media & Entertainment AI Infrastructure

Accountabilities:

• Architect and own end-to-end AI infrastructure solutions for strategic media and entertainment partners, including studio pipelines, generative AI deployments, and large-scale content production systems.

• Translate business and operational challenges into precise, production-ready technical requirements, identifying optimization opportunities across cost, performance, and scalability.

• Conduct deep forensic analysis of customer infrastructure needs, uncovering root bottlenecks and defining targeted engineering interventions.

• Develop reference architectures and integration standards for critical ISV tools across VFX, rendering, and AI-driven content workflows.

• Collaborate with ISV engineering teams to validate, optimize, and publish best-practice implementations on cloud infrastructure.

• Influence internal product and engineering roadmaps by bringing structured field insights and technical evidence from enterprise customers.

• Lead technical alignment sessions with executive stakeholders and contribute to quarterly strategic product and engineering planning forums.

Requirements:

• 12+ years of experience in cloud infrastructure, distributed systems, platform engineering, or related technical domains.

• Deep expertise in AI infrastructure, including GPU architectures (H100, L40s or equivalent), Kubernetes orchestration, high-performance storage systems, and advanced networking (InfiniBand/Ethernet).

• Strong background in inference optimization, including batch processing, quantization, KV caching, latency tuning, and high-throughput model serving.

• Proven experience engaging at executive level with CTOs, VPs of Engineering, and technical decision-makers.

• Demonstrated ability to design and ship production-grade infrastructure solutions in complex, ambiguous environments.

• Strong product mindset with the ability to define platform strategy and make trade-offs between flexibility, scalability, and technical debt.

• Forensic engineering approach with strong debugging, system-level analysis, and performance optimization skills.

• Industry experience in media & entertainment domains such as gaming, VFX, AdTech, or generative AI ecosystems is highly preferred.

• Bonus: Hands-on experience with studio pipelines, render farms, or large-scale content production infrastructure.

Benefits:

• Competitive compensation package with estimated OTE ranging from $295,000 to $365,000 USD, plus equity based on experience.

• 100% company-paid health, dental, and vision insurance for employees and their families.

• 401(k) retirement plan with up to 4% company match and immediate vesting.

• Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.

• Remote work support including monthly reimbursement for internet and mobile expenses.

• Company-paid short-term, long-term disability, and life insurance coverage.

• Flexible remote-first work environment with travel (10–20%) for key meetings and industry events.

• Strong focus on professional growth, innovation, and cutting-edge AI infrastructure development.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1