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Twelve LabsTL

Engineering Manager, Console

Twelve Labs is an innovative AI startup transforming video understanding through powerful multimodal APIs.

Twelve Labs

Employee count: 51-200

KR and US only

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TwelveLabs is a global company pioneering the development of multimodal foundation models that can comprehend videos like humans do. The Engineering Manager, Console role will own the bridge between the company's model capabilities and customer experiences, leading a Korea-based product engineering team end-to-end.

Requirements

  • 8+ years of professional software engineering experience
  • 3+ years in an engineering management role leading fullstack product teams
  • Experience building and shipping customer-facing products in B2B or enterprise contexts
  • Strong fullstack engineering background

Benefits

  • Global B2B customers
  • Autonomy and collaboration in a hybrid work environment
  • Laptop and remote work equipment support (up to 700,000 KRW)
  • Monthly 6,000,000 KRW company card for meals and transportation
  • Snack bar in the office (snacks, coffee, fresh food)
  • 2-week winter break (year-end)
  • Annual health check-up
  • English education program support

About the job

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Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

South Korea +/- 0 hours, and 1 other timezone

About Twelve Labs

Learn more about Twelve Labs and their company culture.

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Twelve Labs is a pioneering company focused on developing multimodal artificial intelligence that enables machines to analyze and understand video content in a way that mimics human perception. Founded in 2020, Twelve Labs aims to bridge the gap between traditional AI systems and human-like video comprehension by leveraging cutting-edge technology to create models that learn rich, multimodal representations from video data. This innovative approach not only enhances video search capabilities but also allows for more meaningful interactions with video content across various applications.

Our flagship products include advanced video APIs, which help developers integrate sophisticated video understanding into their applications. The state-of-the-art Marengo model allows for precise scene search, while Pegasus, our video-language model, empowers users to generate textual descriptions and perform complex queries about video content. We believe this technology can redefine how users interact with video, making it easier for them to sift through and derive insights from large amounts of information. Our team, composed of experts in AI and machine learning, is dedicated to pushing the boundaries of what is possible with video understanding, transforming industries ranging from entertainment to security and education.

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Twelve Labs

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