Technical Director, Media & Entertainment AI Infrastructure in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Director, Media & Entertainment AI Infrastructure in the United States.
This is a senior, hands-on technical leadership role at the intersection of advanced AI infrastructure and the global media & entertainment ecosystem. You will help define how next-generation cloud and GPU infrastructure powers demanding workloads such as VFX, gaming, generative AI, and large-scale content production. Operating as a strategic partner to CTOs, VPs of Engineering, and platform leaders, you will translate complex production challenges into scalable infrastructure solutions. You will work across cutting-edge technologies including distributed systems, high-performance compute, and AI inference optimization. The role is highly field-driven, requiring deep engagement with strategic partners and enterprise customers. You will directly influence product and engineering direction by feeding real-world insights back into the core platform. This position is ideal for a builder who thrives in ambiguity and wants to shape the future of AI-native infrastructure for creative industries.
- 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.
- 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.
- 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.