Director of Engineering, Customer Deployments and Partner Integrations
Listed on 2026-09-09
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, Data Engineering
Who we are
Video is 90% of the world's data. Most of it is invisible to machines.
Twelve Labs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight, sound, and motion — and power production-scale AI workloads across media, entertainment, sports, security, and government.
We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang.
We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter.
Come build it with us!
With our Series B, we are entering our next chapter: building a full-stack video AI company with frontier models at the foundation, an enterprise platform in the middle, and agentic systems that turn raw video into actionable knowledge and insights.
Our customers include some of the world’s leading companies across media, sports, advertising, security, and the public sector. They are asking us to solve increasingly complex problems—not only through our APIs, but by deploying Twelve Labs technology securely and reliably into their environments.
As Director of Engineering, Deployment & Integrations, you will lead the engineering organization responsible for deploying Twelve Labs technology into our customers' and partners’ environments and integrating it deeply into their existing technology ecosystems.
You will own the engineering strategy and execution for customer and distribution partner deployments across hyperscalers, private cloud, on-premise, and other complex enterprise environments. You will work closely with our Engineering and Go to Market teams to turn complex customer requirements into scalable, repeatable deployment and integration capabilities.
This is a highly cross-functional and customer-facing engineering leadership role. You will be equally comfortable working through architecture with a customer's technical team, diving into a complex deployment or integration challenge, and building the systems and processes that allow the next customer to move faster.
Your goal is to make Twelve Labs easy to deploy, easy to integrate, and reliable to operate — while turning the lessons from each customer into capabilities that scale across the business.
In this role, you will focus on the core competencies listed belowCustomer Deployment
Own the engineering lifecycle for customer and partner deployments, from technical discovery and architecture through implementation, production launch, and ongoing operations.
Lead deployments across public cloud, customer VPCs, private cloud, on-premise infrastructure, and other customer-controlled environments.
Partner directly with strategic customers, partners and their engineering, infrastructure, security, and IT teams to solve complex deployment challenges.
Establish the technical standards, tooling, and playbooks required to make deployments predictable and repeatable.
Turn recurring customer deployment requirements into scalable product and platform capabilities wherever possible.
Integrations & Enterprise Architecture
Own the engineering strategy for integrating Twelve Labs into customers' existing technology ecosystems.
Build scalable integration patterns across enterprise applications, data platforms, storage systems, identity and access management, APIs, and AI/ML infrastructure.
Partner with Product and Engineering to translate recurring customer integration requirements into reusable platform capabilities.
Establish standards and tooling that make integrations faster, more reliable, and increasingly self-service.
Balance customer-specific requirements with a long-term…
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