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| 회사명 | 트웰브랩스(TwelveLabs) |
|---|---|
| 포지션 | Engineering Manager, Console |
| 근무지 | 서울시 용산구 이태원로 27길 39-11 |
| 고용형태 | 정규직 |
| 경력 | 5년 이상 |
| 기술 스택 | GitHub, MongoDB, PyTorch, Redis, Python, AWS, Go, Docker, ElasticSearch, RabbitMQ |
[Who we are]
At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
[About the Role]
At TwelveLabs, our foundation models — Marengo and Pegasus — are redefining what's possible with video understanding. But models alone don't create value. Products do.
As Engineering Manager, Product Engineering, you will own the bridge between our model capabilities and the experiences our customers actually use. You'll lead the Korea-based product engineering team end-to-end: setting the technical direction, shipping production-grade software, and building a team that moves with both speed and craft.
This isn't a role where you manage from a distance. You'll stay close to the code — driving architecture decisions, unblocking your team on hard technical problems, and holding a high bar for what good looks like. At the same time, you'll operate as a true owner of the product engineering surface: translating ambiguous goals into clear plans, partnering with Product and Science teams, and ensuring that every new model capability finds its way into the hands of customers quickly and correctly.
We're at a stage where the decisions you make — about the team, the architecture, and the product — will have lasting impact. If you're energized by building things that don't yet exist, leading people who care deeply about their craft, and operating at the intersection of AI and product, this is the role for you.
[In this role, you will]
Turning AI Models into Products
Build and lead the Engineering Team
Technical Leadership & Execution
Partner Across the Organization
[You may be a good fit if you have]
[Preferred Qualifications]
GitHub MongoDB PyTorch Redis Python AWS Go Docker ElasticSearch RabbitMQ
[Hiring Process] Application Review > Recruiter Interview (비대면/30분) > Coding Test > Hiring Manager Interview (비대면/30분) > Technical Interview Round (대면/135분) > Leadership Interview (비대면/60분) > Final Round Interview (비대면/30분) > Reference Check > Offer