Director of Engineering – Customer Deployments, Partner Integrations

🕒 Agosto 20

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

💵 $275.000 - $360.000 / ano

⏰ Tempo Integral

🔴 Especialista

🖥 Engenheiro de Software

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Twelve Labs

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🔌 API

☁️ SaaS

Artificial Intelligence • API • SaaS

A Twelve Labs é uma empresa de tecnologia de ponta especializada em IA multimodal que oferece compreensão de vídeo semelhante à humana. Suas plataformas são projetadas para analisar e categorizar grandes volumes de dados de vídeo, possibilitando aplicações como busca inteligente e geração de conteúdo. A Twelve Labs oferece APIs poderosas que permitem às empresas integrar perfeitamente capacidades avançadas de compreensão de vídeo em seus fluxos de trabalho, facilitando para os usuários a busca de momentos exatos em vídeos, resumir conteúdos e até mesmo gerar insights a partir de dados visuais.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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