Director of Engineering, Deployment
AI summary of the role
Leads the engineering organization responsible for deploying and integrating TwelveLabs' multimodal video AI across hyperscalers, private cloud, on-premises, air-gapped, and other complex enterprise environments.
What you’ll do
- Lead the full lifecycle of customer and partner deployments from architecture through production operations
- Define scalable integration strategies across enterprise applications, data platforms, identity systems, and AI/ML infrastructure
- Build deployment automation, CI/CD, configuration management, observability, and internal developer tooling
- Translate recurring customer requirements into reusable product and platform capabilities
What you’ll bring
- 10+ years in software engineering, infrastructure, platform engineering, or distributed systems with significant engineering leadership experience
- Experience deploying complex software, AI/ML systems, or infrastructure into enterprise customer environments
- Deep expertise in distributed systems, networking, containers, Kubernetes, CI/CD, observability, and production operations
- Experience with multi-cloud, customer-controlled, air-gapped, disconnected, regulated, or highly secure environments
Technologies
Kubernetes · Helm · Docker/container images · infrastructure-as-code · CI/CD · observability · GPU infrastructure · operator patterns · air-gapped deployment bundles
About Twelve Labs
Builds video-native foundation models and APIs that let enterprises search, analyze, and operationalize large video libraries across media, sports, security, and other workflow-heavy domains.
Series A
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