
11 - 50 employees
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
Twelve Labs is a company that specializes in developing state-of-the-art multimodal AI solutions that understand videos like humans. Their technology allows for natural language video search, generation of text from video content, and rich video embeddings for various applications. They provide APIs to power intelligent video applications that can search, generate, and embed content from vast video libraries. Twelve Labs aims to revolutionize video AI by offering customizable and scalable models suitable for enterprise use, ensuring secure data handling in line with global compliance standards.
🔥 0 minutes ago
🏄 California, New York – Remote
💵 $275k - $360k / year
⏰ Full Time
🔴 Lead
🖥 Software Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 22%
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11 - 50 employees
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
Twelve Labs is a company that specializes in developing state-of-the-art multimodal AI solutions that understand videos like humans. Their technology allows for natural language video search, generation of text from video content, and rich video embeddings for various applications. They provide APIs to power intelligent video applications that can search, generate, and embed content from vast video libraries. Twelve Labs aims to revolutionize video AI by offering customizable and scalable models suitable for enterprise use, ensuring secure data handling in line with global compliance standards.
• Lead the engineering organization responsible for deploying TwelveLabs technology into customer and partner environments and integrating it into existing technology ecosystems • Own engineering strategy and execution for deployments across hyperscalers, private cloud, on-premise, and complex enterprise environments • Own the engineering lifecycle for customer and partner deployments from technical discovery and architecture through implementation, production launch, and ongoing operations • Partner with customers, partners, Engineering, Go to Market, Product, Research, ML, Security, Infrastructure, Solutions Engineering, and Sales teams • Establish technical standards, tooling, playbooks, automation, and internal platforms for predictable, repeatable deployments and integrations • Build scalable integration patterns across enterprise applications, data platforms, storage systems, identity and access management, APIs, and AI/ML infrastructure • Establish CI/CD, release management, configuration management, observability, and developer experience practices • Turn recurring customer deployment and integration requirements into reusable product and platform capabilities • Define deployment and integration architecture, technical roadmaps, interfaces, and execution plans • Support security, compliance, data isolation, identity, access control, encryption, auditability, and regulated-environment requirements • Serve as senior technical partner on complex customer opportunities and communicate technical tradeoffs to technical and executive stakeholders • Build, lead, recruit, develop, and retain a world-class Deployment & Integrations Engineering organization • Establish operating mechanisms that maintain reliability, customer experience, technical excellence, urgency, and disciplined execution
• 10+ years of experience in software engineering, infrastructure, platform engineering, or distributed systems • Significant experience leading globally distributed engineering teams • Experience leading engineering organizations responsible for deploying complex software, AI/ML systems, or infrastructure into enterprise customer environments • Deep technical understanding of cloud infrastructure, distributed systems, networking, containers, Kubernetes, CI/CD, observability, and production operations • Experience with Kubernetes, container orchestration, infrastructure-as-code, and automated deployment systems • Experience deploying software across multiple cloud environments and/or customer-controlled infrastructure, including air-gapped, disconnected, regulated, or highly secure environments • Hands-on experience owning the software deployment lifecycle end-to-end, including versioning, release management, rollout and rollback strategy, upgrade paths, and post-deployment operations • Deep experience with software packaging patterns including container images, Helm charts, operator patterns, installer and bootstrap flows, air-gapped bundles, and dependency and configuration management • Track record of turning bespoke customer implementations into scalable, repeatable engineering systems • Strong customer-facing instincts and ability to operate credibly with senior engineers, architects, security teams, and technical executives at large enterprises • Bias toward action and willingness to get into technical details • Excellent judgment balancing one-off strategic customer solutions with scalable platform capabilities • Experience operating in a high-growth startup • Experience working with globally distributed teams • Strong candidates may also have experience deploying AI/ML or GPU-intensive workloads, serving highly regulated customers, standardizing enterprise deployment platforms, or leading Solutions Engineering, Field Engineering, Deployment Engineering, or Professional Services Engineering organizations
• An open and inclusive culture and work environment • Work closely with a collaborative, mission-driven team on cutting-edge AI technology • Full health, dental, and vision benefits • Extremely flexible PTO and parental leave policy • Office closed the week of Christmas and New Years • Monthly wellness stipend • Annual Learning & Development stipend • Global offices in San Francisco, New York, and Seoul • Coworking office memberships for remote team members • VISA support where applicable • Transportation stipend (SF & NY onsite only) • Daily meals provided (SF & NY onsite only) • Equity
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