Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
Video lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business.
The Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.
In this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.
The work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.
This is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.
The Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.
We manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.
We work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.
Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms.
Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations.
Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution.
Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute.
Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness.
Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans.
Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own.
Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped.
Represent TwelveLabs in partner-facing technical and business conversations, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints.
7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure.
Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning.
Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations.
A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services.
Clear and concise written communication across technical specifications, partner briefs, and roadmap documents.
Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives.
A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature.
A bachelor's degree or equivalent practical experience.
Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.
Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.
Experience operating in a startup or high-growth environment with fast-shifting priorities.
Background in media, video, or content technology.
๐ค An open and inclusive culture and work environment
๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology
๐ฅ Full health, dental, and vision benefits
๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
๐ช Monthly wellness stipend
๐ Annual Learning & Development stipend to invest in your growth
๐ VISA support where applicable
๐ Transportation stipend (SF & NY onsite only)
๐ฒ Daily meal support (SF & NY onsite only)
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\n\nWe 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.\n\n\nWe 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!\n\n\n\n\nABOUT THE ROLE\n\nVideo lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business.\n\nThe Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.\n\nIn this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.\n\nThe work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.\n\nThis is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.\n\n\n\n\nABOUT THE TEAM\n\nThe Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.\n\nWe manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.\n\nWe work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms.\n\n - Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations.\n\n - Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution.\n\n - Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute.\n\n - Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness.\n\n - Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans.\n\n - Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own.\n\n - Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped.\n\n - Represent TwelveLabs in partner-facing technical and business conversations, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints.\n\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure.\n\n - Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning.\n\n - Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations.\n\n - A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services.\n\n - Clear and concise written communication across technical specifications, partner briefs, and roadmap documents.\n\n - Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives.\n\n - A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature.\n\n - A bachelor's degree or equivalent practical experience.\n\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.\n\n - Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.\n\n - Experience operating in a startup or high-growth environment with fast-shifting priorities.\n\n - Background in media, video, or content technology.\n\n\n\n\nBENEFITS AND PERKS\n\n๐ค An open and inclusive culture and work environment\n\n๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology\n\n๐ฅ Full health, dental, and vision benefits\n\n๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years\n\n๐ช Monthly wellness stipend\n\n๐ Annual Learning & Development stipend to invest in your growth\n\n๐ VISA support where applicable\n\n๐ Transportation stipend (SF & NY onsite only)\n\n๐ฒ Daily meal support (SF & NY onsite only)\n\n\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"a8fa59d5-e364-43ec-9a5a-dc98a2f3ed53","title":"Senior Machine Learning Engineer, Pegasus","department":"Tech","team":"ML Engineering","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-08-19T02:12:53.604+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/a8fa59d5-e364-43ec-9a5a-dc98a2f3ed53","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/a8fa59d5-e364-43ec-9a5a-dc98a2f3ed53/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
Jockey is TwelveLabs' unified agentic system that reasons across your videos and images. It combines a reasoning model with a memory layer that builds a knowledge store from your corpus.
No context window holds a video archive. We work at a million hours of video. A single model forward pass can tell you about one file; it can't reason across a corpus, and no context window closes that gap. Jockey decomposes a query, retrieves, segments, and reasons across thousands of videos and images. Point it at an archive, ask for a highlight reel or the best viral moments, and it returns timestamped cuts you can use. Corpus-level understanding you can act on is the whole product.
Built for agents, not just people. As AI agents increasingly become the primary consumers of video, we're building production-grade infrastructure that scales to millions of hours while delivering reliable, high-quality results for both human users and autonomous agents.
We build on models we own. Marengo, our embedding model, resolves a query like \"the moment we almost missed the flight\" into real retrieval. Pegasus, our video-language model, returns structured, timestamped moments on a schema you define. We ship and improve both continuously, so Jockey's quality compounds with every release โ no re-integration for customers. Few teams get to build an agent on a stack they control end to end.
Deep expertise, one system, open culture. Foundation models, knowledge construction, search, and the agent harness all live in one org. Each team owns its domain and is expected to have deep expertise in it โ but like a Formula 1 team, we optimize for the global system, not local parts. A model gain that doesn't expand what the agent can do isn't a gain. We trace a single algorithm change through to end-system behavior, and share work in progress weekly, not just finished results. Anyone can pull the context they need from any team.
The Cognition Models team owns the models that turn video into structured understanding and reasoning: Pegasus, our video-language model, and Jockey Core, the reasoning LLM behind Jockey. In the model stack we sit between Perception Models (embeddings and retrieval) and the agent system โ taking what's retrieved and producing structured understanding and the reasoning to act on it.
We focus on multimodal systems with high instruction-following capability and complex, hierarchically structured outputs. Our work spans training infrastructure from pre-training to RL, temporal segmentation and structured metadata extraction, large-scale inference and serving systems, data-curation and evaluation pipelines, and building Jockey Core. We ship products with real-world value rather than doing research in isolation, working as a goal-oriented, cross-functional team of ML researchers and engineers โ using the most advanced compute in the world, including NVIDIA B300s, to accelerate the research-to-production cycle.
Pegasus is TwelveLabs' video-language model โ it turns video into useful analysis by reasoning over visuals, speech, audio, and on-screen text. A key capability is Segment, our time-based metadata feature: instead of a broad question about a video, customers define the exact segment types they care about and the metadata fields they want back, and Pegasus finds the relevant start and end times and returns structured metadata for each segment โ titles, summaries, topics, people, visual subjects, confidence, or domain-specific labels. This turns video into time-based, structured data that flows directly into search, archive, editing, compliance, or content-management workflows.
Build, improve, and operate production ML systems for Pegasus, with a focus on reliability, performance, and maintainability.
Work across core parts of the ML stack, including deployment, inference, evaluation, monitoring, and supporting infrastructure.
Develop systems for serving Video Language Models (VLMs) and handling multimodal data and metadata at production quality.
Make strong technical decisions within your area and drive execution with a high degree of ownership.
Explore and adopt AI-assisted development tools such as Claude, Gemini, and GPT to improve productivity across coding, experimentation, debugging, and documentation.
Strong software engineering and machine learning fundamentals.
Experience building and shipping ML systems in production.
Experience with multimodal data and familiarity with areas such as computer vision, natural language processing, LLMs, or VLMs.
Experience with distributed ML or data workflows, ideally in Kubernetes-based environments.
Strong engineering judgment around performance, reliability, and maintainability in production environments.
Experience serving or optimizing LLM/VLM systems in production.
Experience with inference optimization techniques such as batching, caching, or quantization.
Experience building AI/ML systems from early-stage development through production deployment.
Master's or PhD in Machine Learning, Computer Science, or a related technical field.
์์์ ์ง์ฌ์ธ ๊ณณ์ ์ ์ธ๊ณ์ ๋ช ๊ตฐ๋ฐ ์์ด์
์๋ฌด๋ฆฌ ๋ฐ์ด๋ ๋ชจ๋ธ๋, ์ ์ฐ์ด๋ฉด โ์ ๊ธฐํ๋คโ์์ ๋์ด์์
๋น๋์ค๋ฅผ ๊ตฌ์กฐํ๋ ์์ฐ์ผ๋ก: Time-Based Metadata(TBM) ํ์ดํ๋ผ์ธ ๊ตฌ์ถ๊ธฐ
Cutting Edge Isnโt Plug-and-Play: B300์์ FlashAttention-4 ์ปค์คํฐ๋ง์ด์งํ๊ธฐ
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\nWe 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.\n\nWe 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!\n\n\n\n\nABOUT JOCKEY\n\nJockey is TwelveLabs' unified agentic system that reasons across your videos and images. It combines a reasoning model with a memory layer that builds a knowledge store from your corpus.\n\nNo context window holds a video archive. We work at a million hours of video. A single model forward pass can tell you about one file; it can't reason across a corpus, and no context window closes that gap. Jockey decomposes a query, retrieves, segments, and reasons across thousands of videos and images. Point it at an archive, ask for a highlight reel or the best viral moments, and it returns timestamped cuts you can use. Corpus-level understanding you can act on is the whole product.\n\nBuilt for agents, not just people. As AI agents increasingly become the primary consumers of video, we're building production-grade infrastructure that scales to millions of hours while delivering reliable, high-quality results for both human users and autonomous agents.\n\nWe build on models we own. Marengo, our embedding model, resolves a query like \"the moment we almost missed the flight\" into real retrieval. Pegasus, our video-language model, returns structured, timestamped moments on a schema you define. We ship and improve both continuously, so Jockey's quality compounds with every release โ no re-integration for customers. Few teams get to build an agent on a stack they control end to end.\n\nDeep expertise, one system, open culture. Foundation models, knowledge construction, search, and the agent harness all live in one org. Each team owns its domain and is expected to have deep expertise in it โ but like a Formula 1 team, we optimize for the global system, not local parts. A model gain that doesn't expand what the agent can do isn't a gain. We trace a single algorithm change through to end-system behavior, and share work in progress weekly, not just finished results. Anyone can pull the context they need from any team.\n\n\n\n\nABOUT THE TEAM\n\nThe Cognition Models team owns the models that turn video into structured understanding and reasoning: Pegasus, our video-language model, and Jockey Core, the reasoning LLM behind Jockey. In the model stack we sit between Perception Models (embeddings and retrieval) and the agent system โ taking what's retrieved and producing structured understanding and the reasoning to act on it.\n\nWe focus on multimodal systems with high instruction-following capability and complex, hierarchically structured outputs. Our work spans training infrastructure from pre-training to RL, temporal segmentation and structured metadata extraction, large-scale inference and serving systems, data-curation and evaluation pipelines, and building Jockey Core. We ship products with real-world value rather than doing research in isolation, working as a goal-oriented, cross-functional team of ML researchers and engineers โ using the most advanced compute in the world, including NVIDIA B300s, to accelerate the research-to-production cycle.\n\n\n\n\nABOUT PEGASUS\n\nPegasus is TwelveLabs' video-language model โ it turns video into useful analysis by reasoning over visuals, speech, audio, and on-screen text. A key capability is Segment, our time-based metadata feature: instead of a broad question about a video, customers define the exact segment types they care about and the metadata fields they want back, and Pegasus finds the relevant start and end times and returns structured metadata for each segment โ titles, summaries, topics, people, visual subjects, confidence, or domain-specific labels. This turns video into time-based, structured data that flows directly into search, archive, editing, compliance, or content-management workflows.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Build, improve, and operate production ML systems for Pegasus, with a focus on reliability, performance, and maintainability.\n\n - Work across core parts of the ML stack, including deployment, inference, evaluation, monitoring, and supporting infrastructure.\n\n - Develop systems for serving Video Language Models (VLMs) and handling multimodal data and metadata at production quality.\n\n - Make strong technical decisions within your area and drive execution with a high degree of ownership.\n\n - Explore and adopt AI-assisted development tools such as Claude, Gemini, and GPT to improve productivity across coding, experimentation, debugging, and documentation.\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - Strong software engineering and machine learning fundamentals.\n\n - Experience building and shipping ML systems in production.\n\n - Experience with multimodal data and familiarity with areas such as computer vision, natural language processing, LLMs, or VLMs.\n\n - Experience with distributed ML or data workflows, ideally in Kubernetes-based environments.\n\n - Strong engineering judgment around performance, reliability, and maintainability in production environments.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience serving or optimizing LLM/VLM systems in production.\n\n - Experience with inference optimization techniques such as batching, caching, or quantization.\n\n - Experience building AI/ML systems from early-stage development through production deployment.\n\n - Master's or PhD in Machine Learning, Computer Science, or a related technical field.\n\n\n\n\nREAD MORE ABOUT THE TEAM\n\n - ์์์ ์ง์ฌ์ธ ๊ณณ์ ์ ์ธ๊ณ์ ๋ช ๊ตฐ๋ฐ ์์ด์ https://www.twelvelabs.io/ko/blog/kiankim-pegasus-research-interview \n\n - ์๋ฌด๋ฆฌ ๋ฐ์ด๋ ๋ชจ๋ธ๋, ์ ์ฐ์ด๋ฉด โ์ ๊ธฐํ๋คโ์์ ๋์ด์์ https://www.twelvelabs.io/ko/blog/sjkim-mle-interview\n\n - Pegasus 1.5๋ฅผ ๋ง๋ ์ฌ๋๋ค https://www.twelvelabs.io/ko/blog/pegasus-1-5-seoul-builders\n\n - ๋น๋์ค๋ฅผ ๊ตฌ์กฐํ๋ ์์ฐ์ผ๋ก: Time-Based Metadata(TBM) ํ์ดํ๋ผ์ธ ๊ตฌ์ถ๊ธฐ https://www.twelvelabs.io/ko/blog/%EB%B9%84%EB%94%94%EC%98%A4%EB%A5%BC-%EA%B5%AC%EC%A1%B0%ED%99%94%EB%90%9C-%EC%9E%90%EC%82%B0%EC%9C%BC%EB%A1%9C-time-based-metadata(tbm)-%ED%8C%8C%EC%9D%B4%ED%94%84%EB%9D%BC%EC%9D%B8-%EA%B5%AC%EC%B6%95%EA%B8%B0\n\n - Cutting Edge Isnโt Plug-and-Play: B300์์ FlashAttention-4 ์ปค์คํฐ๋ง์ด์งํ๊ธฐ https://www.twelvelabs.io/ko/blog/cutting-edge-isn%E2%80%99t-plug-and-play\n \n ย \n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\nGrowth & Tools\n\n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n\n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n\n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n\n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n\n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n\n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n\n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\nMeal & Snack\n\n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n\n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n\n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\nWellness & Family\n\n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n\n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n\n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n\n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"75b92173-c0ca-4a91-84e5-c56515dbb813","title":"Senior Platform Engineer","department":"Tech","team":"Engineering ","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-08-31T04:02:02.507+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/75b92173-c0ca-4a91-84e5-c56515dbb813","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/75b92173-c0ca-4a91-84e5-c56515dbb813/application","descriptionHtml":"์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข
ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ
์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.
NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์
์
๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์
๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.
์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.
TwelveLabs์ AI ํ๋ซํผ์ ๋ท๋ฐ์นจํ๋ ์์คํ ์ ๊ตฌ์ถํ๊ณ ์ด์ํ Senior Platform Engineer ๋ฅผ ์ฐพ๊ณ ์์ต๋๋ค. ํนํ Platform ๋ฐ SRE์ ๋ํ ๊ฐํ ๊ด์ ๊ณผ ๊ฒฝํ์ ๊ฐ์ง ๋ถ์ ๊ธฐ๋ํฉ๋๋ค.
์ด ํฌ์ง์ ์ ๋งค์ฐ ๋์ ์์ค์ Hands-on Engineering์ ์๊ตฌํฉ๋๋ค. ์ธํ๋ผ, ๋ฐฑ์๋ ์์คํ , Reliability Engineering ์ ๋ฐ์ ๋ค๋ฃจ๋ฉฐ, ์ค์ Production ์์คํ ์ ๋ํด ์๋นํ ์์ค์ Ownership์ ๊ฐ๊ฒ ๋ฉ๋๋ค.
์๋ก ๋ค๋ฅธ ์์ง๋์ด๋ง ์์ญ์ ๊ฒฝ๊ณ๊ฐ ๋ช ํํ์ง ์์ ์ํฉ์์๋ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ ์ ์์ด์ผ ํฉ๋๋ค. Production ์ฅ์ ๊ฐ ๋ฐ์ํ์ ๋ ๋จ์ํ \"๋ด๋น ํ\"์ ๋ฌธ์ ๋ฅผ ์ ๋ฌํ๋ ๊ฒ์ด ์๋๋ผ, ์ง์ ๋ฌธ์ ๋ฅผ ์กฐ์ฌํ๊ณ ๊ธฐ์กด ๊ฐ์ ์ ๊ฒ์ฆํ๋ฉฐ ์์คํ ์ ๋ฐ์ ์ถ์ ํด ๊ทผ๋ณธ ์์ธ์ ์ฐพ๊ณ , ํด๊ฒฐ์ด Production์ ๋ฐ์๋ ๋๊น์ง ์ฃผ๋์ ์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํฉ๋๋ค.
๋ํ ์์ง๋์ด๋ค์ด ๋น ๋ฅด๊ฒ ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ ์ ์๋๋ก ์ธํ๋ผ์ ๋ด๋ถ ํ๋ซํผ์ ์ค๊ณํ๊ณ ๊ตฌ์ถํ๋ ๋์์, Production ์์คํ ์ Reliability, Observability, Performance ๋ฐ Operational Maturity๋ฅผ ์ง์์ ์ผ๋ก ๊ฐ์ ํฉ๋๋ค.
๊ธฐ์ ์ ์ธ ๋ฌธ์ ๋ฅผ ๊น์ด ํ๊ณ ๋๋ ๊ฒ์ ์ฆ๊ธฐ๊ณ , ์์คํ ์ ์ฌ๋ฌ ๋ ์ด์ด๋ฅผ ์์ ๋กญ๊ฒ ๋๋๋ค๋ฉฐ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ณ , ํน์ ์ธํ๋ผ ์์ญ์ ๊ด๋ฆฌํ๋ ๊ฒ๋ณด๋ค ๋ฌธ์ ์์ฒด์ Ownership์ ๊ฐ๊ณ ํด๊ฒฐํ๋ ๊ฒ์ ์ ํธํ๋ ๋ถ์ด๋ผ๋ฉด ์ ๋ง์ ๊ฒ์ ๋๋ค.
TwelveLabs์ AI ์ ํ์ ์ง์ํ๋ ํ์ฅ ๊ฐ๋ฅํ ์ธํ๋ผ ๋ฐ ๋ด๋ถ ํ๋ซํผ ์ค๊ณยท๊ตฌ์ถยท์ด์
Incident Response๋ถํฐ Root Cause Analysis ๋ฐ ์ฅ๊ธฐ์ ์ธ ๊ฐ์ ๊น์ง Production ์์คํ ์ Reliability์ ์ด์ ์ํ์ ๋ํ Ownership
๋น ๋ฅด๊ณ ์์ ํ ๋ฐฐํฌ๋ฅผ ์ํ CI/CD ๊ตฌ์ถ ๋ฐ ์ํํ ์ด์์ ์ํ Observability ์์คํ ๊ฐ์
Terraform ๋ฑ์ ๋๊ตฌ๋ฅผ ํ์ฉํ ํ์ฅ ๊ฐ๋ฅํ CI/CD Pipeline ๋ฐ Infrastructure Automation ๊ตฌ์ถ
Production ์์คํ ์ Reliability, Performance, Scalability ๋ฐ Cost Efficiency ๊ฐ์
Product ๋ฐ Engineering ํ์ด ์๋น์ค๋ฅผ ๋ณด๋ค ํจ์จ์ ์ผ๋ก ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ ์ ์๋๋ก Platform ๋ฐ Tooling ๊ฐ๋ฐ
Backend Engineer, ML Engineer, Researcher, Product ํ๊ณผ ๊ธด๋ฐํ๊ฒ ํ์ ํ์ฌ ์์คํ ์๊ตฌ์ฌํญ์ ์ดํดํ๊ณ ์ ์ ํ Platform Solution ๊ตฌ์ถ
๋ช ํํ ๋ต์ด๋ Ownership์ด ์ ํด์ง์ง ์์ ๊ธฐ์ ์ ๋ฌธ์ ๋ฅผ ์ง์ ์ฃผ๋ํ์ฌ ์กฐ์ฌ๋ถํฐ ๊ตฌํ ๋ฐ Production Rollout๊น์ง ์ฑ ์
AWS, GCP, Azure ๋ฑ Cloud ํ๊ฒฝ์์ Production ์์คํ ์ ๊ตฌ์ถํ๊ณ ์ด์ํ ๊ฒฝํ
Linux, Networking, Container, Kubernetes์ ๋ํ ๋์ ์์ค์ ๊ฒฝํ
Terraform, Ansible ๋๋ ์ ์ฌํ Infrastructure as Code ๋๊ตฌ ํ์ฉ ๊ฒฝํ
CI/CD ๋ฐ Deployment ์์คํ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ
Observability, Monitoring, Logging, Alerting ๋ฐ Production Incident Response ๊ฒฝํ
Python, Go, TypeScript ๋๋ ๊ธฐํ Backend-oriented Language๋ฅผ ํ์ฉํ ํ๋ก๊ทธ๋๋ฐ ๋๋ Scripting ๊ฒฝํ
Production ์์คํ ์ ์ฌ๋ฌ ๋ ์ด์ด์ ๊ฑธ์น ๋ณต์กํ ๋ฌธ์ ๋ฅผ Debuggingํ ๊ฒฝํ
Distributed Systems ๋ฐ Cloud Architecture์ ๋ํ ํํํ ์ดํด
์ฆ์์ ์ผ์์ ์ผ๋ก ์ํํ๋ ๋ฐ ๊ทธ์น์ง ์๊ณ ๋ฌธ์ ์ Root Cause๋ฅผ ๋๊น์ง ํ๊ณ ๋๋ ๋ฌธ์ ํด๊ฒฐ ๋ฐฉ์
Ownership์ ๊ฒฝ๊ณ๊ฐ ๋ช ํํ์ง ์์ ์ํฉ์์๋ ํจ๊ณผ์ ์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ ์ ์๋ ๋ฅ๋ ฅ
Infrastructure, Platform Engineering, SRE, DevOps ๋๋ ์ ์ฌํ Engineering Role์์ 7๋ ์ด์์ ๊ฒฝ๋ ฅ
์ฌ๋ฌ Engineering ํ์ด ์ฌ์ฉํ๋ Developer Platform ๋๋ Infrastructure Platform ๊ตฌ์ถ ๊ฒฝํ
High Availability๊ฐ ์๊ตฌ๋๋ B2B SaaS ์ ํ์ ๋๊ท๋ชจ๋ก ์ด์ํ ๊ฒฝํ
๋์ ์์ค์ Security ๋ฐ Compliance ์๊ตฌ์ฌํญ์ ๊ณ ๋ คํ ์์คํ ์ค๊ณ ๊ฒฝํ
Backend Service Development ๋ฐ Distributed Systems ๊ฒฝํ
System Performance, Reliability ๋ฐ Infrastructure Cost ์ฌ์ด์ Trade-off๋ฅผ ๊ณ ๋ คํ์ฌ ์์ฌ๊ฒฐ์ ํ ๊ฒฝํ
๋น ๋ฅด๊ฒ ์ฑ์ฅํ๋ Startup ๋๋ ๋์ ์์ค์ Ownership์ ์๊ตฌํ๋ ํ๊ฒฝ์์ ๊ทผ๋ฌดํ ๊ฒฝํ
์์ด๋ก ์ปค๋ฎค๋์ผ์ด์ ํ ์ ์๋ ๋ถ
์ ํฌ๋ ํ๋์ ์ญํ ์ด๋ ์นดํ ๊ณ ๋ฆฌ์ ์ ํํ ๋ค์ด๋ง๋ ์ฌ๋์ ์ฐพ๊ณ ์์ง๋ ์์ต๋๋ค. ๊ฐ์ฅ ๋ฐ์ด๋ ํ๋ณด์๋ ํํํ Infrastructure ๊ธฐ๋ฐ์ ๊ฐ์ถ๊ณ ์์ผ๋ฉด์๋ Software๋ฅผ ์ง์ ์์ฑํ๊ณ , Backend ์์คํ ์ Debuggingํ๋ฉฐ, Production Incident์ ๋์ํ๊ณ , ์์ ์ด ์ด์ํ๋ ์์คํ ์ Reliability๋ฅผ ์ง์์ ์ผ๋ก ๊ฐ์ ํ ์ ์๋ ์ฌ๋์ ๋๋ค.
์ค์ค๋ก๋ฅผ Infrastructure Engineer, Platform Engineer, SRE ๋๋ DevOps Engineer๋ผ๊ณ ๋ถ๋ฅผ ์๋ ์์ต๋๋ค. ํ์ง๋ง ์ ํฌ๊ฐ ๊ฐ์ฅ ์ค์ํ๊ฒ ๋ณด๋ ๊ฒ์ ์ด๋ค ํ์ดํ์ ๊ฐ์ง๊ณ ์๋์ง๊ฐ ์๋๋ผ ๋ฌธ์ ๋ฅผ ์ด๋ป๊ฒ ์ ๊ทผํ๊ณ ํด๊ฒฐํ๋๊ฐ์ ๋๋ค. Production์์ ๋ฌธ์ ๊ฐ ๋ฐ์ํ์ ๋, \"์ ์ด๋ฐ ๋ฌธ์ ๊ฐ ๋ฐ์ํ๋์ง ์ดํดํ๊ณ ์ถ์ ์ฌ๋\" ์ด ๋ฐ๋ก ์ ํฌ๊ฐ ์ฐพ๋ ์ฌ๋์ ๋๋ค. ์์คํ ์ ๊น์ด ํ๊ณ ๋ค๊ณ , ๊ธฐ์กด์ ๊ฐ์ ์ ์์ฌํ๊ณ , ์ฌ๋ฌ ๋ ์ด์ด์ ๊ฑธ์ณ ๊ทผ๊ฑฐ๋ฅผ ๋ฐ๋ผ๊ฐ๋ฉฐ ๋ฌธ์ ์ Root Cause๋ฅผ ์ฐพ์๋ ๋๋ค. ๊ทธ๋ฆฌ๊ณ ๋จ์ํ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๋ฐ์ ๋๋์ง ์๊ณ , ๊ฐ์ ๋ฌธ์ ๊ฐ ๋ค์ ๋ฐ์ํ ๊ฐ๋ฅ์ฑ์ ๋ฎ์ถ ์ ์๋๋ก ์์คํ ์์ฒด๋ฅผ ๊ฐ์ ํฉ๋๋ค. ์ด๋ฐ ๋ฐฉ์์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๊ฒ์ด ์ฆ๊ฑฐ์ฐ์ ๋ถ, TwelveLabs์์ ์ฐพ๋ ๋ถ์ ๋๋ค.
๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์
์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค
Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น?
\"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\n์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.\n\nNEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.\n\n์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.\n\n\n\n\nABOUT THE ROLE\n\nTwelveLabs์ AI ํ๋ซํผ์ ๋ท๋ฐ์นจํ๋ ์์คํ ์ ๊ตฌ์ถํ๊ณ ์ด์ํ Senior Platform Engineer ๋ฅผ ์ฐพ๊ณ ์์ต๋๋ค. ํนํ Platform ๋ฐ SRE์ ๋ํ ๊ฐํ ๊ด์ ๊ณผ ๊ฒฝํ์ ๊ฐ์ง ๋ถ์ ๊ธฐ๋ํฉ๋๋ค.\n\n์ด ํฌ์ง์ ์ ๋งค์ฐ ๋์ ์์ค์ Hands-on Engineering์ ์๊ตฌํฉ๋๋ค. ์ธํ๋ผ, ๋ฐฑ์๋ ์์คํ , Reliability Engineering ์ ๋ฐ์ ๋ค๋ฃจ๋ฉฐ, ์ค์ Production ์์คํ ์ ๋ํด ์๋นํ ์์ค์ Ownership์ ๊ฐ๊ฒ ๋ฉ๋๋ค.\n\n์๋ก ๋ค๋ฅธ ์์ง๋์ด๋ง ์์ญ์ ๊ฒฝ๊ณ๊ฐ ๋ช ํํ์ง ์์ ์ํฉ์์๋ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ ์ ์์ด์ผ ํฉ๋๋ค. Production ์ฅ์ ๊ฐ ๋ฐ์ํ์ ๋ ๋จ์ํ \"๋ด๋น ํ\"์ ๋ฌธ์ ๋ฅผ ์ ๋ฌํ๋ ๊ฒ์ด ์๋๋ผ, ์ง์ ๋ฌธ์ ๋ฅผ ์กฐ์ฌํ๊ณ ๊ธฐ์กด ๊ฐ์ ์ ๊ฒ์ฆํ๋ฉฐ ์์คํ ์ ๋ฐ์ ์ถ์ ํด ๊ทผ๋ณธ ์์ธ์ ์ฐพ๊ณ , ํด๊ฒฐ์ด Production์ ๋ฐ์๋ ๋๊น์ง ์ฃผ๋์ ์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํฉ๋๋ค.\n\n๋ํ ์์ง๋์ด๋ค์ด ๋น ๋ฅด๊ฒ ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ ์ ์๋๋ก ์ธํ๋ผ์ ๋ด๋ถ ํ๋ซํผ์ ์ค๊ณํ๊ณ ๊ตฌ์ถํ๋ ๋์์, Production ์์คํ ์ Reliability, Observability, Performance ๋ฐ Operational Maturity๋ฅผ ์ง์์ ์ผ๋ก ๊ฐ์ ํฉ๋๋ค.\n\n๊ธฐ์ ์ ์ธ ๋ฌธ์ ๋ฅผ ๊น์ด ํ๊ณ ๋๋ ๊ฒ์ ์ฆ๊ธฐ๊ณ , ์์คํ ์ ์ฌ๋ฌ ๋ ์ด์ด๋ฅผ ์์ ๋กญ๊ฒ ๋๋๋ค๋ฉฐ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ณ , ํน์ ์ธํ๋ผ ์์ญ์ ๊ด๋ฆฌํ๋ ๊ฒ๋ณด๋ค ๋ฌธ์ ์์ฒด์ Ownership์ ๊ฐ๊ณ ํด๊ฒฐํ๋ ๊ฒ์ ์ ํธํ๋ ๋ถ์ด๋ผ๋ฉด ์ ๋ง์ ๊ฒ์ ๋๋ค.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - TwelveLabs์ AI ์ ํ์ ์ง์ํ๋ ํ์ฅ ๊ฐ๋ฅํ ์ธํ๋ผ ๋ฐ ๋ด๋ถ ํ๋ซํผ ์ค๊ณยท๊ตฌ์ถยท์ด์\n\n - Incident Response๋ถํฐ Root Cause Analysis ๋ฐ ์ฅ๊ธฐ์ ์ธ ๊ฐ์ ๊น์ง Production ์์คํ ์ Reliability์ ์ด์ ์ํ์ ๋ํ Ownership\n\n - ๋น ๋ฅด๊ณ ์์ ํ ๋ฐฐํฌ๋ฅผ ์ํ CI/CD ๊ตฌ์ถ ๋ฐ ์ํํ ์ด์์ ์ํ Observability ์์คํ ๊ฐ์ \n\n - Terraform ๋ฑ์ ๋๊ตฌ๋ฅผ ํ์ฉํ ํ์ฅ ๊ฐ๋ฅํ CI/CD Pipeline ๋ฐ Infrastructure Automation ๊ตฌ์ถ\n\n - Production ์์คํ ์ Reliability, Performance, Scalability ๋ฐ Cost Efficiency ๊ฐ์ \n\n - Product ๋ฐ Engineering ํ์ด ์๋น์ค๋ฅผ ๋ณด๋ค ํจ์จ์ ์ผ๋ก ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ ์ ์๋๋ก Platform ๋ฐ Tooling ๊ฐ๋ฐ\n\n - Backend Engineer, ML Engineer, Researcher, Product ํ๊ณผ ๊ธด๋ฐํ๊ฒ ํ์ ํ์ฌ ์์คํ ์๊ตฌ์ฌํญ์ ์ดํดํ๊ณ ์ ์ ํ Platform Solution ๊ตฌ์ถ\n\n - ๋ช ํํ ๋ต์ด๋ Ownership์ด ์ ํด์ง์ง ์์ ๊ธฐ์ ์ ๋ฌธ์ ๋ฅผ ์ง์ ์ฃผ๋ํ์ฌ ์กฐ์ฌ๋ถํฐ ๊ตฌํ ๋ฐ Production Rollout๊น์ง ์ฑ ์\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - AWS, GCP, Azure ๋ฑ Cloud ํ๊ฒฝ์์ Production ์์คํ ์ ๊ตฌ์ถํ๊ณ ์ด์ํ ๊ฒฝํ\n\n - Linux, Networking, Container, Kubernetes์ ๋ํ ๋์ ์์ค์ ๊ฒฝํ\n\n - Terraform, Ansible ๋๋ ์ ์ฌํ Infrastructure as Code ๋๊ตฌ ํ์ฉ ๊ฒฝํ\n\n - CI/CD ๋ฐ Deployment ์์คํ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ\n\n - Observability, Monitoring, Logging, Alerting ๋ฐ Production Incident Response ๊ฒฝํ\n\n - Python, Go, TypeScript ๋๋ ๊ธฐํ Backend-oriented Language๋ฅผ ํ์ฉํ ํ๋ก๊ทธ๋๋ฐ ๋๋ Scripting ๊ฒฝํ\n\n - Production ์์คํ ์ ์ฌ๋ฌ ๋ ์ด์ด์ ๊ฑธ์น ๋ณต์กํ ๋ฌธ์ ๋ฅผ Debuggingํ ๊ฒฝํ\n\n - Distributed Systems ๋ฐ Cloud Architecture์ ๋ํ ํํํ ์ดํด\n\n - ์ฆ์์ ์ผ์์ ์ผ๋ก ์ํํ๋ ๋ฐ ๊ทธ์น์ง ์๊ณ ๋ฌธ์ ์ Root Cause๋ฅผ ๋๊น์ง ํ๊ณ ๋๋ ๋ฌธ์ ํด๊ฒฐ ๋ฐฉ์\n\n - Ownership์ ๊ฒฝ๊ณ๊ฐ ๋ช ํํ์ง ์์ ์ํฉ์์๋ ํจ๊ณผ์ ์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ ์ ์๋ ๋ฅ๋ ฅ\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Infrastructure, Platform Engineering, SRE, DevOps ๋๋ ์ ์ฌํ Engineering Role์์ 7๋ ์ด์์ ๊ฒฝ๋ ฅ\n\n - ์ฌ๋ฌ Engineering ํ์ด ์ฌ์ฉํ๋ Developer Platform ๋๋ Infrastructure Platform ๊ตฌ์ถ ๊ฒฝํ\n\n - High Availability๊ฐ ์๊ตฌ๋๋ B2B SaaS ์ ํ์ ๋๊ท๋ชจ๋ก ์ด์ํ ๊ฒฝํ\n\n - ๋์ ์์ค์ Security ๋ฐ Compliance ์๊ตฌ์ฌํญ์ ๊ณ ๋ คํ ์์คํ ์ค๊ณ ๊ฒฝํ\n\n - Backend Service Development ๋ฐ Distributed Systems ๊ฒฝํ\n\n - System Performance, Reliability ๋ฐ Infrastructure Cost ์ฌ์ด์ Trade-off๋ฅผ ๊ณ ๋ คํ์ฌ ์์ฌ๊ฒฐ์ ํ ๊ฒฝํ\n\n - ๋น ๋ฅด๊ฒ ์ฑ์ฅํ๋ Startup ๋๋ ๋์ ์์ค์ Ownership์ ์๊ตฌํ๋ ํ๊ฒฝ์์ ๊ทผ๋ฌดํ ๊ฒฝํ\n\n - ์์ด๋ก ์ปค๋ฎค๋์ผ์ด์ ํ ์ ์๋ ๋ถ\n\n\n\n\nTHE TALENT WEโRE LOOKING FOR\n\n์ ํฌ๋ ํ๋์ ์ญํ ์ด๋ ์นดํ ๊ณ ๋ฆฌ์ ์ ํํ ๋ค์ด๋ง๋ ์ฌ๋์ ์ฐพ๊ณ ์์ง๋ ์์ต๋๋ค. ๊ฐ์ฅ ๋ฐ์ด๋ ํ๋ณด์๋ ํํํ Infrastructure ๊ธฐ๋ฐ์ ๊ฐ์ถ๊ณ ์์ผ๋ฉด์๋ Software๋ฅผ ์ง์ ์์ฑํ๊ณ , Backend ์์คํ ์ Debuggingํ๋ฉฐ, Production Incident์ ๋์ํ๊ณ , ์์ ์ด ์ด์ํ๋ ์์คํ ์ Reliability๋ฅผ ์ง์์ ์ผ๋ก ๊ฐ์ ํ ์ ์๋ ์ฌ๋์ ๋๋ค.\n\n์ค์ค๋ก๋ฅผ Infrastructure Engineer, Platform Engineer, SRE ๋๋ DevOps Engineer๋ผ๊ณ ๋ถ๋ฅผ ์๋ ์์ต๋๋ค. ํ์ง๋ง ์ ํฌ๊ฐ ๊ฐ์ฅ ์ค์ํ๊ฒ ๋ณด๋ ๊ฒ์ ์ด๋ค ํ์ดํ์ ๊ฐ์ง๊ณ ์๋์ง๊ฐ ์๋๋ผ ๋ฌธ์ ๋ฅผ ์ด๋ป๊ฒ ์ ๊ทผํ๊ณ ํด๊ฒฐํ๋๊ฐ์ ๋๋ค. Production์์ ๋ฌธ์ ๊ฐ ๋ฐ์ํ์ ๋, \"์ ์ด๋ฐ ๋ฌธ์ ๊ฐ ๋ฐ์ํ๋์ง ์ดํดํ๊ณ ์ถ์ ์ฌ๋\" ์ด ๋ฐ๋ก ์ ํฌ๊ฐ ์ฐพ๋ ์ฌ๋์ ๋๋ค. ์์คํ ์ ๊น์ด ํ๊ณ ๋ค๊ณ , ๊ธฐ์กด์ ๊ฐ์ ์ ์์ฌํ๊ณ , ์ฌ๋ฌ ๋ ์ด์ด์ ๊ฑธ์ณ ๊ทผ๊ฑฐ๋ฅผ ๋ฐ๋ผ๊ฐ๋ฉฐ ๋ฌธ์ ์ Root Cause๋ฅผ ์ฐพ์๋ ๋๋ค. ๊ทธ๋ฆฌ๊ณ ๋จ์ํ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๋ฐ์ ๋๋์ง ์๊ณ , ๊ฐ์ ๋ฌธ์ ๊ฐ ๋ค์ ๋ฐ์ํ ๊ฐ๋ฅ์ฑ์ ๋ฎ์ถ ์ ์๋๋ก ์์คํ ์์ฒด๋ฅผ ๊ฐ์ ํฉ๋๋ค. ์ด๋ฐ ๋ฐฉ์์ผ๋ก ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๊ฒ์ด ์ฆ๊ฑฐ์ฐ์ ๋ถ, TwelveLabs์์ ์ฐพ๋ ๋ถ์ ๋๋ค.\n\n\n\n\nREAD MORE ABOUT THE TEAM\n\n - ๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์ https://www.twelvelabs.io/ko/blog/estherkim-eng-interview?category-4=korean\n\n - ์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค https://www.twelvelabs.io/ko/blog/rate-limiter-implementation?category-4=korean\n\n - Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น? https://www.twelvelabs.io/ko/blog/spec-driven-test-automation?category-4=korean\n\n - \"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ https://www.twelvelabs.io/ko/blog/glenjung-infra-interview?category-4=korean\n\n\n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\nGrowth & Tools\n\n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n\n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n\n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n\n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n\n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n\n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n\n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\nMeal & Snack\n\n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n\n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n\n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\nWellness & Family\n\n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n\n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n\n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n\n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"0869a12a-5beb-4f36-bda6-36cdb32931b4","title":"Staff ML Research Engineer, Multimodal Structure & Marengo","department":"Tech","team":"Research Science","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-09-02T13:14:54.202+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/0869a12a-5beb-4f36-bda6-36cdb32931b4","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/0869a12a-5beb-4f36-bda6-36cdb32931b4/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
Jockey is TwelveLabs' unified agentic system that reasons across your videos and images. It combines a reasoning model with a memory layer that builds a knowledge store from your corpus.
No context window holds a video archive. We work at a million hours of video. A single model forward pass can tell you about one file; it can't reason across a corpus, and no context window closes that gap. Jockey decomposes a query, retrieves, segments, and reasons across thousands of videos and images. Point it at an archive, ask for a highlight reel or the best viral moments, and it returns timestamped cuts you can use. Corpus-level understanding you can act on is the whole product.
Built for agents, not just people. As AI agents increasingly become the primary consumers of video, we're building production-grade infrastructure that scales to millions of hours while delivering reliable, high-quality results for both human users and autonomous agents.
We build on models we own. Marengo, our embedding model, resolves a query like \"the moment we almost missed the flight\" into real retrieval. Pegasus, our video-language model, returns structured, timestamped moments on a schema you define. We ship and improve both continuously, so Jockey's quality compounds with every release โ no re-integration for customers. Few teams get to build an agent on a stack they control end to end.
Deep expertise, one system, open culture. Foundation models, knowledge construction, search, and the agent harness all live in one org. Each team owns its domain and is expected to have deep expertise in it โ but like a Formula 1 team, we optimize for the global system, not local parts. A model gain that doesn't expand what the agent can do isn't a gain. We trace a single algorithm change through to end-system behavior, and share work in progress weekly, not just finished results. Anyone can pull the context they need from any team.
This team develops two core capabilities for multimodal understanding: structure and semantics. Structure organizes video, audio, text, and documents into addressable units and models the relationships among them. Marengo, TwelveLabs' multimodal embedding model, represents what those units mean in a shared embedding space for understanding and retrieval.
End-to-end model development: We work across a broad range of research areas, including video segmentation and tracking, temporal and hierarchical modeling, contrastive learning, and multimodal representation learning. The team owns the entire model development lifecycle, from building large-scale training datasets and designing model architectures to optimizing distributed training and developing robust evaluation frameworks.
Research at scale: With access to world-class compute infrastructure, including NVIDIA B300 GPUs, we rapidly iterate on large-scale experiments, enabling fast progress on ambitious research problems.
Research with real-world impact: The path from research to production is exceptionally short. We work closely with the Agent, Search, Product, and Infrastructure teams to continuously improve the models that power multimodal search and understanding for thousands of customers worldwide.
As a Staff ML Research Engineer working across multimodal structure and embeddings, you will set the technical direction for TwelveLabs' next-generation models and own the end-to-end development process, from research strategy and data architecture to training systems, production model APIs, and evaluation frameworks.
This is a high-autonomy role at the intersection of video understanding, multimodal representation learning, large-scale systems design, and cross-team technical leadership. We're looking for someone who thrives in ambiguity: someone who can identify the highest-impact research problems, define the technical approach, and drive cross-team execution to deliver models that serve customers worldwide.
Set the technical direction for multimodal structure, including how assets are organized into reusable, addressable units and how those units relate.
Define the architecture, training, and data strategy for next-generation multimodal embedding models.
Own end-to-end model development from research planning through large-scale distributed training to production evaluation.
Architect and optimize large-scale training infrastructure, including distributed training pipelines, data processing systems, experiment workflows, and GPU utilization.
Own production model APIs end to end, from model packaging and API design to inference optimization and reliable operation at scale.
Drive data strategy by building large-scale curation, filtering, and quality systems for both structure and embeddings.
Define evaluation methods and quality standards for structure, embeddings, and end-to-end multimodal understanding and retrieval.
Define the interface between structure and semantics, ensuring that structured units remain reusable and addressable while improving end-to-end understanding and retrieval.
Drive cross-functional alignment with Agent, Search, Product, and Infrastructure teams on model integration and performance requirements.
Raise the research engineering bar through design review, experiment review, and technical mentorship.
Even if you don't check every box, we encourage you to apply.
If you're a zero-to-one achiever, a ferocious learner, and a kind team player who motivates others, you'll find a home at TwelveLabs.
7+ years of industry experience in computer vision, video understanding, or multimodal learning.
Demonstrated ability to take ambiguous, loosely-defined research problems and drive them to concrete, impactful solutions, from problem identification through delivery.
Strong judgment under changing constraints: you adapt as requirements evolve, make principled tradeoffs, and deliver the strongest result within the available time and resources.
Deep expertise in large-scale distributed model training (kernel optimization, FSDP, or similar).
Experience building and operating production model APIs for large-scale ML systems.
Deep expertise in video understanding, multimodal representation learning, or foundation model development.
Experience building end-to-end systems that connect multimodal structure with embeddings and retrieval.
Proven end-to-end ownership: not just running experiments, but defining what to build, building it, deploying it, and iterating on it in production.
Strong proficiency in Python and PyTorch.
Evidence of both research depth and engineering impact: publications paired with shipped products, not one or the other.
We evaluate based on relevant technical skills and sustained industry impact. This role is typically a strong fit for engineers with an MS and deep industry experience who have evolved from individual contributor to technical leader in production ML environments.
Experience training models at billion-parameter scale.
Experience with training operations: pipeline reliability, monitoring, fault tolerance, and cost optimization.
Experience with large-scale data curation and data quality systems.
Experience modeling temporal, spatial, or hierarchical structure across video and other multimodal content.
Experience with temporal video understanding or multimodal video modeling.
Deep experience optimizing training and inference systems for throughput, latency, GPU efficiency, and scale.
Track record of technical leadership: driving architectural decisions that shaped team or product direction.
The gap between research and production is remarkably short here. Models you build will be used by thousands of companies worldwide within months. In this role, you will shape how multimodal content is organized into reusable units and how those units are represented for understanding and retrieval. Rather than optimizing structure, embeddings, and retrieval in isolation, you will connect them into one end-to-end system. Our research philosophy balances rigorous experimentation with real-world application: we aim to build multimodal systems that are powerful, trustworthy, and genuinely useful.
์๋ฏธ์ ๊ฒฝ๊ณ๋ฅผ ์ฐพ์์: ์์์ ์ดํดํ๋ ์๋ฒ ๋ฉ์ ๋ง๋๋ ์ฌ๋
๋ฒค์น๋งํฌ์ ์๋ ๋ฌธ์ ๋ฅผ ํ๊ณ ์์ต๋๋ค
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\n\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\nWe 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.\n\nWe 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!\n\n\n\n\nABOUT JOCKEY\n\nJockey is TwelveLabs' unified agentic system that reasons across your videos and images. It combines a reasoning model with a memory layer that builds a knowledge store from your corpus.\n\nNo context window holds a video archive. We work at a million hours of video. A single model forward pass can tell you about one file; it can't reason across a corpus, and no context window closes that gap. Jockey decomposes a query, retrieves, segments, and reasons across thousands of videos and images. Point it at an archive, ask for a highlight reel or the best viral moments, and it returns timestamped cuts you can use. Corpus-level understanding you can act on is the whole product.\n\nBuilt for agents, not just people. As AI agents increasingly become the primary consumers of video, we're building production-grade infrastructure that scales to millions of hours while delivering reliable, high-quality results for both human users and autonomous agents.\n\nWe build on models we own. Marengo, our embedding model, resolves a query like \"the moment we almost missed the flight\" into real retrieval. Pegasus, our video-language model, returns structured, timestamped moments on a schema you define. We ship and improve both continuously, so Jockey's quality compounds with every release โ no re-integration for customers. Few teams get to build an agent on a stack they control end to end.\n\nDeep expertise, one system, open culture. Foundation models, knowledge construction, search, and the agent harness all live in one org. Each team owns its domain and is expected to have deep expertise in it โ but like a Formula 1 team, we optimize for the global system, not local parts. A model gain that doesn't expand what the agent can do isn't a gain. We trace a single algorithm change through to end-system behavior, and share work in progress weekly, not just finished results. Anyone can pull the context they need from any team.\n\n\n\n\nABOUT THE TEAM\n\nThis team develops two core capabilities for multimodal understanding: structure and semantics. Structure organizes video, audio, text, and documents into addressable units and models the relationships among them. Marengo, TwelveLabs' multimodal embedding model, represents what those units mean in a shared embedding space for understanding and retrieval.\n\nEnd-to-end model development: We work across a broad range of research areas, including video segmentation and tracking, temporal and hierarchical modeling, contrastive learning, and multimodal representation learning. The team owns the entire model development lifecycle, from building large-scale training datasets and designing model architectures to optimizing distributed training and developing robust evaluation frameworks.\n\nResearch at scale: With access to world-class compute infrastructure, including NVIDIA B300 GPUs, we rapidly iterate on large-scale experiments, enabling fast progress on ambitious research problems.\n\nResearch with real-world impact: The path from research to production is exceptionally short. We work closely with the Agent, Search, Product, and Infrastructure teams to continuously improve the models that power multimodal search and understanding for thousands of customers worldwide.\n\n\n\n\nABOUT THE ROLE\n\nAs a Staff ML Research Engineer working across multimodal structure and embeddings, you will set the technical direction for TwelveLabs' next-generation models and own the end-to-end development process, from research strategy and data architecture to training systems, production model APIs, and evaluation frameworks.\n\nThis is a high-autonomy role at the intersection of video understanding, multimodal representation learning, large-scale systems design, and cross-team technical leadership. We're looking for someone who thrives in ambiguity: someone who can identify the highest-impact research problems, define the technical approach, and drive cross-team execution to deliver models that serve customers worldwide.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Set the technical direction for multimodal structure, including how assets are organized into reusable, addressable units and how those units relate.\n\n - Define the architecture, training, and data strategy for next-generation multimodal embedding models.\n\n - Own end-to-end model development from research planning through large-scale distributed training to production evaluation.\n\n - Architect and optimize large-scale training infrastructure, including distributed training pipelines, data processing systems, experiment workflows, and GPU utilization.\n\n - Own production model APIs end to end, from model packaging and API design to inference optimization and reliable operation at scale.\n\n - Drive data strategy by building large-scale curation, filtering, and quality systems for both structure and embeddings.\n\n - Define evaluation methods and quality standards for structure, embeddings, and end-to-end multimodal understanding and retrieval.\n\n - Define the interface between structure and semantics, ensuring that structured units remain reusable and addressable while improving end-to-end understanding and retrieval.\n\n - Drive cross-functional alignment with Agent, Search, Product, and Infrastructure teams on model integration and performance requirements.\n\n - Raise the research engineering bar through design review, experiment review, and technical mentorship.\n\nEven if you don't check every box, we encourage you to apply.\n\nIf you're a zero-to-one achiever, a ferocious learner, and a kind team player who motivates others, you'll find a home at TwelveLabs.\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 7+ years of industry experience in computer vision, video understanding, or multimodal learning.\n\n - Demonstrated ability to take ambiguous, loosely-defined research problems and drive them to concrete, impactful solutions, from problem identification through delivery.\n\n - Strong judgment under changing constraints: you adapt as requirements evolve, make principled tradeoffs, and deliver the strongest result within the available time and resources.\n\n - Deep expertise in large-scale distributed model training (kernel optimization, FSDP, or similar).\n\n - Experience building and operating production model APIs for large-scale ML systems.\n\n - Deep expertise in video understanding, multimodal representation learning, or foundation model development.\n\n - Experience building end-to-end systems that connect multimodal structure with embeddings and retrieval.\n\n - Proven end-to-end ownership: not just running experiments, but defining what to build, building it, deploying it, and iterating on it in production.\n\n - Strong proficiency in Python and PyTorch.\n\n - Evidence of both research depth and engineering impact: publications paired with shipped products, not one or the other.\n\nWe evaluate based on relevant technical skills and sustained industry impact. This role is typically a strong fit for engineers with an MS and deep industry experience who have evolved from individual contributor to technical leader in production ML environments.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience training models at billion-parameter scale.\n\n - Experience with training operations: pipeline reliability, monitoring, fault tolerance, and cost optimization.\n\n - Experience with large-scale data curation and data quality systems.\n\n - Experience modeling temporal, spatial, or hierarchical structure across video and other multimodal content.\n\n - Experience with temporal video understanding or multimodal video modeling.\n\n - Deep experience optimizing training and inference systems for throughput, latency, GPU efficiency, and scale.\n\n - Track record of technical leadership: driving architectural decisions that shaped team or product direction.\n\n\n\n\nWHAT MAKES THIS ROLE UNIQUE\n\nThe gap between research and production is remarkably short here. Models you build will be used by thousands of companies worldwide within months. In this role, you will shape how multimodal content is organized into reusable units and how those units are represented for understanding and retrieval. Rather than optimizing structure, embeddings, and retrieval in isolation, you will connect them into one end-to-end system. Our research philosophy balances rigorous experimentation with real-world application: we aim to build multimodal systems that are powerful, trustworthy, and genuinely useful.\n\nย \n\n\nREAD MORE ABOUT THE TEAM\n\n - ์๋ฏธ์ ๊ฒฝ๊ณ๋ฅผ ์ฐพ์์: ์์์ ์ดํดํ๋ ์๋ฒ ๋ฉ์ ๋ง๋๋ ์ฌ๋ https://www.twelvelabs.io/ko/blog/dankim-marengo-research-interview\n\n - ๋ฒค์น๋งํฌ์ ์๋ ๋ฌธ์ ๋ฅผ ํ๊ณ ์์ต๋๋ค https://www.twelvelabs.io/ko/blog/we-re-solving-problems-that-aren-t-in-any-benchmark_kr\n \n ย \n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\n - Growth & Tools\n \n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n \n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n \n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n \n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n \n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n \n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n \n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\n - Meal & Snack\n \n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n \n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n \n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\n - Wellness & Family\n \n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n \n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n \n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n \n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"d861e53f-d184-4e43-950b-54dc7969ed45","title":"Staff Infrastructure Engineer","department":"Tech","team":"Engineering ","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-09-15T02:08:24.899+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/d861e53f-d184-4e43-950b-54dc7969ed45","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/d861e53f-d184-4e43-950b-54dc7969ed45/application","descriptionHtml":"์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.
NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.
์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.
ํธ์ฐ๋ธ๋ฉ์ค์ ์ธํ๋ผ ์์ง๋์ด๋ AI SaaS ํ๋ซํผ์ ์์ ์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ๊ฒ ์ด์ํ ์ ์๋๋ก ํต์ฌ ์ธํ๋ผ๋ฅผ ์ค๊ณํ๊ณ ๊ตฌ์ถํฉ๋๋ค. ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค ํ๊ฒฝ์์์ ์์คํ ์ํคํ ์ฒ๋ฅผ ๋ค๋ฃจ๋ฉฐ, ์์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ๋ท๋ฐ์นจํ๋ ๊ฒฌ๊ณ ํ ์ธํ๋ผ๋ฅผ ๋ง๋ค์ด ๋๊ฐ๋๋ค. ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์คํํธ์ ํ๊ฒฝ ์์์ ์ฑ๋ฅ, ๋ณด์, ์ ์ฐ์ฑ์ ์ต์ ํํ๋ฉฐ, ์ฌ๋ด ์ฌ๋ฌ ํ๊ณผ ๊ธด๋ฐํ ํ์ ํ๊ฒ ๋ฉ๋๋ค.
๊ธ๋ก๋ฒ ๊ธฐ์ ๊ณ ๊ฐ์ ์ํ ๋ฉํฐํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์
Terraform์ ํตํ ์๋ํ์ ํ์ฅ์ฑ ๋์ CI/CD ํ์ดํ๋ผ์ธ ๊ฐ๋ฐ
AWS, GCP, Azure ๋ฑ ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค๋ฅผ ์์ฐ๋ฅด๋ ์ ์ฐํ ์ธํ๋ผ ๊ตฌ์ถ
๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋งยท๋ณด์ ์ฒด๊ณ๋ฅผ ํตํด ์์ ํ๋ฉด์๋ ํจ์จ์ ์ธ ํด๋ผ์ฐ๋ ์ธํ๋ผ ์ต์ ํ
์๋ก์ด ์์ AI ๋ชจ๋ธ๊ณผ ์๋น์ค๋ฅผ ๊ฐ์ฅ ๋น ๋ฅด๊ฒ ์ง์ํ๊ธฐ ์ํ ํ์ฅ ๊ฐ๋ฅํ ์ํคํ ์ฒ ์ค๊ณ
PM, ์์ง๋์ด, ๋ฆฌ์์น์ ํ์ ํ์ฌ AI ์ ํ์ ํ์ค๋ก ๊ตฌํ
AWS, GCP, Azure ๋ฑ ํด๋ผ์ฐ๋ ํ๊ฒฝ์์ ์ธํ๋ผ ๊ตฌ์ถ ๋ฐ ์ด์ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ
Terraform, Ansible ๋ฑ IaC(Infrastructure as Code) ๋๊ตฌ๋ฅผ ํ์ฉํ ์๋ํ ๋ฐ ์ํคํ ์ฒ ์ค๊ณ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Kubernetes, ์ปจํ ์ด๋ ๊ธฐ๋ฐ ์ํฌ๋ก๋ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Python, Go, TypeScript ๋ฑ ์ธ์ด๋ฅผ ํ์ฉํ ์คํฌ๋ฆฝํ ๋ฐ ์๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
CI/CD ํ์ดํ๋ผ์ธ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ธํ๋ผ ์์ง๋์ด๋ก์ 12๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ
์ํฐํ๋ผ์ด์ฆ SaaS ํ๊ฒฝ์์ ๋ฉํฐ ํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๋ณด์ยท์ปดํ๋ผ์ด์ธ์ค ํ์ค์ ๋ง์ถ ์ธํ๋ผ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ๊ฐ์ฌ ๋์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋ง ๋ฐ ๋ก๊น ์์คํ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ฑ๋ฅ ์ต์ ํ ๋ฐ ๋น์ฉ ํจ์จํ๋ฅผ ๋์์ ๊ณ ๋ คํ ์ธํ๋ผ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์์ด ์ปค๋ฎค๋์ผ์ด์ ์ด ๊ฐ๋ฅํ์ ๋ถ
๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์
์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค
Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น?
\"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\n์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.\n\nNEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.\n\n์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.\n\nย \n\n\nABOUT THE ROLE\n\nํธ์ฐ๋ธ๋ฉ์ค์ ์ธํ๋ผ ์์ง๋์ด๋ AI SaaS ํ๋ซํผ์ ์์ ์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ๊ฒ ์ด์ํ ์ ์๋๋ก ํต์ฌ ์ธํ๋ผ๋ฅผ ์ค๊ณํ๊ณ ๊ตฌ์ถํฉ๋๋ค. ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค ํ๊ฒฝ์์์ ์์คํ ์ํคํ ์ฒ๋ฅผ ๋ค๋ฃจ๋ฉฐ, ์์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ๋ท๋ฐ์นจํ๋ ๊ฒฌ๊ณ ํ ์ธํ๋ผ๋ฅผ ๋ง๋ค์ด ๋๊ฐ๋๋ค. ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์คํํธ์ ํ๊ฒฝ ์์์ ์ฑ๋ฅ, ๋ณด์, ์ ์ฐ์ฑ์ ์ต์ ํํ๋ฉฐ, ์ฌ๋ด ์ฌ๋ฌ ํ๊ณผ ๊ธด๋ฐํ ํ์ ํ๊ฒ ๋ฉ๋๋ค.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - ๊ธ๋ก๋ฒ ๊ธฐ์ ๊ณ ๊ฐ์ ์ํ ๋ฉํฐํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์\n\n - Terraform์ ํตํ ์๋ํ์ ํ์ฅ์ฑ ๋์ CI/CD ํ์ดํ๋ผ์ธ ๊ฐ๋ฐ\n\n - AWS, GCP, Azure ๋ฑ ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค๋ฅผ ์์ฐ๋ฅด๋ ์ ์ฐํ ์ธํ๋ผ ๊ตฌ์ถ\n\n - ๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋งยท๋ณด์ ์ฒด๊ณ๋ฅผ ํตํด ์์ ํ๋ฉด์๋ ํจ์จ์ ์ธ ํด๋ผ์ฐ๋ ์ธํ๋ผ ์ต์ ํ\n\n - ์๋ก์ด ์์ AI ๋ชจ๋ธ๊ณผ ์๋น์ค๋ฅผ ๊ฐ์ฅ ๋น ๋ฅด๊ฒ ์ง์ํ๊ธฐ ์ํ ํ์ฅ ๊ฐ๋ฅํ ์ํคํ ์ฒ ์ค๊ณ\n\n - PM, ์์ง๋์ด, ๋ฆฌ์์น์ ํ์ ํ์ฌ AI ์ ํ์ ํ์ค๋ก ๊ตฌํ\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - AWS, GCP, Azure ๋ฑ ํด๋ผ์ฐ๋ ํ๊ฒฝ์์ ์ธํ๋ผ ๊ตฌ์ถ ๋ฐ ์ด์ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ\n\n - Terraform, Ansible ๋ฑ IaC(Infrastructure as Code) ๋๊ตฌ๋ฅผ ํ์ฉํ ์๋ํ ๋ฐ ์ํคํ ์ฒ ์ค๊ณ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Kubernetes, ์ปจํ ์ด๋ ๊ธฐ๋ฐ ์ํฌ๋ก๋ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Python, Go, TypeScript ๋ฑ ์ธ์ด๋ฅผ ํ์ฉํ ์คํฌ๋ฆฝํ ๋ฐ ์๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - CI/CD ํ์ดํ๋ผ์ธ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - ์ธํ๋ผ ์์ง๋์ด๋ก์ 12๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ\n\n - ์ํฐํ๋ผ์ด์ฆ SaaS ํ๊ฒฝ์์ ๋ฉํฐ ํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๋ณด์ยท์ปดํ๋ผ์ด์ธ์ค ํ์ค์ ๋ง์ถ ์ธํ๋ผ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ๊ฐ์ฌ ๋์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋ง ๋ฐ ๋ก๊น ์์คํ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์ฑ๋ฅ ์ต์ ํ ๋ฐ ๋น์ฉ ํจ์จํ๋ฅผ ๋์์ ๊ณ ๋ คํ ์ธํ๋ผ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์์ด ์ปค๋ฎค๋์ผ์ด์ ์ด ๊ฐ๋ฅํ์ ๋ถ\n\n\n\n\nREAD MORE ABOUT THE TEAM\n\n - ๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์ https://www.twelvelabs.io/ko/blog/estherkim-eng-interview?category-4=korean\n\n - ์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค https://www.twelvelabs.io/ko/blog/rate-limiter-implementation?category-4=korean\n\n - Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น? https://www.twelvelabs.io/ko/blog/spec-driven-test-automation?category-4=korean\n\n - \"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ https://www.twelvelabs.io/ko/blog/glenjung-infra-interview?category-4=korean\n \n ย \n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\n - Growth & Tools\n \n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n \n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n \n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n \n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n \n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n \n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n \n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\n - Meal & Snack\n \n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n \n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n \n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\n - Wellness & Family\n \n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n \n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n \n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n \n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"6cd23d4e-ec90-4359-89b4-10dfd4eb2618","title":"Senior Backend Engineer, Forge","department":"Tech","team":"Engineering ","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-10-15T13:40:42.291+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/6cd23d4e-ec90-4359-89b4-10dfd4eb2618","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/6cd23d4e-ec90-4359-89b4-10dfd4eb2618/application","descriptionHtml":"์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข
ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ
์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.
NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์
์
๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์
๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.
์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.
Forgeํ์ ํธ์ฐ๋ธ๋ฉ์ค๊ฐ ์์ฒด ๊ฐ๋ฐํ AI ๋ชจ๋ธ์ ๊ณ ๊ฐ์ด ์ค์ ๋ก ํ์ฉํ ์ ์๋๋ก ์ฐ๊ฒฐํ๋ B2B SaaS ํ๋ซํผ์ ๋ง๋๋ ํ์ ๋๋ค. ํ์ฌ๋ API, SDK, ๊ทธ๋ฆฌ๊ณ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ธ Playground๋ฅผ ํตํด ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ๋ค์ํ tier์ ๊ณ ๊ฐ์๊ฒ ํธ์ฐ๋ธ๋ฉ์ค์ ๊ธฐ์ ์ ์ ๊ณตํ๊ณ ์์ต๋๋ค. ์์ผ๋ก๋ ์ธ์ฆ, ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ, ๊ทธ๋ฆฌ๊ณ ๋ชจ๋ ์ ํ์ ๊ฑธ์ณ ์ผ๊ด๋ ๋ฐ์ดํฐ ๋ ์ด์ด๋ฅผ ์ ๊ณตํ๋ ๊ณตํต ๊ธฐ๋ฐ์ ๊ตฌ์ถํ๋ฉฐ, ํธ์ฐ๋ธ๋ฉ์ค์ ๋ชจ๋ ์ ํ์ด ๊ทธ ์์์ ๋์ํ ์ ์๋ ํ๋ซํผ์ผ๋ก ๋ฐ์ ํด ๋๊ฐ ๊ฒ์ ๋๋ค. ๋ฏธ๊ตญ ์ํ๋์์ค์ฝ์ ํ๊ตญ ์์ธ ๋ ์คํผ์ค๋ฅผ ์ค์ฌ์ผ๋ก, ๋ค์ํ ๋ฐฐ๊ฒฝ์ ๊ฐ์ง ํ์๋ค์ด ํ๋์ ํ์ผ๋ก ํ๋ ฅํ๋ฉฐ ์ ํ์ ๋ง๋ค์ด ๊ฐ๊ณ ์์ต๋๋ค.
์ ํฌ ํ์ ์์จ์ฑ๊ณผ ์คํ ๋ง์ธ๋๋ฅผ ํต์ฌ ๊ฐ์น๋ก ์ผ์ต๋๋ค. ๋ชจ๋ ํ์์ด ์ฃผ๋์ ์ผ๋ก ๋ชฉํ๋ฅผ ์ค์ ํ๊ณ ์คํํ๋ฉฐ, ๋ ๋์ ์ ํ์ ์ํด ์์ ๋กญ๊ฒ ์๊ฒฌ์ ์ ์ํ๊ณ ๋ ผ์ํ๋ ๋ฌธํ๋ฅผ ์งํฅํฉ๋๋ค. ์์ง๋์ด๋ง ํ์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ PM๊ณผ ๊ธด๋ฐํ ๋ ผ์ํ๋ฉฐ ์์คํ ์ ๋์์ธํ๊ณ , ๊ตฌํ๋ ์ฝ๋๋ ์๋ก ๊ฐ์ ๋ฆฌ๋ทฐ๋ฅผ ํตํด ์์ฑ๋๋ฅผ ๋์ ๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค์ Forge ํ์ ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ์์ฒด ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ์ ํ๊ณผ ์๋น์ค์ ์์ ์ ์ผ๋ก ํ์ฉํ ์ ์๋๋ก ๊ฐ๋ฐ์ ํ๋ซํผ์ ๊ตฌ์ถํ๊ณ ์ด์ํฉ๋๋ค. API, SDK, Playground๋ฅผ ํตํ ๋ชจ๋ธ ์ ๊ทผ๊ณผ ์์ ๋ฐ์ดํฐ ๊ด๋ฆฌ๋ถํฐ ์ธ์ฆ, ๊ณ์ ยท์กฐ์ง ๋ฐ ๊ถํ ๊ด๋ฆฌ, ๋น๋ง, ์์ฒญ ์๋์ ์ฌ์ฉ๋ ์ ์ด๊น์ง ๊ณ ๊ฐ์ ๋ชจ๋ธ ํ์ฉ์ ํ์ํ ๊ณตํต ๊ธฐ๋ฐ์ ์ฑ ์์ง๋๋ค.
Senior Backend Engineer๋ ์ด ํ๋ซํผ์ ํต์ฌ ๋ฐฑ์๋ ์์คํ ์ ์ค๊ณํ๊ณ ๊ฐ๋ฐํ๋ฉฐ, ๋ค์ํ ๊ณ ๊ฐ์ ํธ๋ํฝ๊ณผ ๋ฐ์ดํฐ ๊ท๋ชจ๋ฅผ ์ง์ํ ์ ์๋๋ก ์ฑ๋ฅ, ์์ ์ฑ, ํ์ฅ์ฑ์ ๊ฐ์ ํฉ๋๋ค. ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ์ฐธ์ฌํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ตฌ์ฒด์ ์ธ ์ธํฐํ์ด์ค์ ๋ฐฑ์๋ ์๋ฃจ์ ์ผ๋ก ๋ฐ์ ์ํค๋ ๊ณผ์ ์ ์ฃผ๋ํฉ๋๋ค.
ํ๋ก๋ํธ ๋งค๋์ , ํ๋ก ํธ์๋ ์์ง๋์ด, ML ๋ฐ ํ๋ซํผ ์์ง๋์ด์ ๊ธด๋ฐํ ํ๋ ฅํ๋ฉฐ, ๋ด๋น ์๋น์ค์ ์ค๊ณ๋ถํฐ ๋ฐฐํฌ์ ์ด์๊น์ง ์ฑ ์์ง๋๋ค.
ํ๋ก๋ํธ ๋งค๋์ , ํ๋ก ํธ์๋ ์์ง๋์ด์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ๋ ฅํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ตฌ์ฒด์ ์ธ API์ ๋ฐฑ์๋ ์๋ฃจ์ ์ผ๋ก ์ ์ํ๊ณ , ๋ด๋น ์์ญ์ ์ค๊ณ์ ๊ตฌํ์ ์ฃผ๋ํฉ๋๋ค.
์ธ์ฆ, ๊ณ์ ยท์กฐ์ง ๋ฐ ๊ถํ ๊ด๋ฆฌ, ๋น๋ง, ์ฌ์ฉ๋ ์ธก์ ๊ณผ ์ ํ ๋ฑ ์ ํ ๊ณตํต์ ํต์ฌ ์์คํ ์ ๊ฐ๋ฐํ๊ณ ๊ฐ์ ํฉ๋๋ค.
์์ ๋ฐ์ดํฐ์ ์ ๋ก๋ยท๊ด๋ฆฌ์ ๋ชจ๋ธ ํ์ฉ์ ์ง์ํ๋ API๋ฅผ ๊ฐ๋ฐํ๋ฉฐ, ์ผ๊ด๋ ์ฌ์ฉ ๊ฒฝํ๊ณผ ๊ธฐ์กด ๊ณ ๊ฐ ์ฐ๋์ ํธํ์ฑ์ ์ ์งํฉ๋๋ค.
๊ณ ๊ฐ์ ํธ๋ํฝ๊ณผ ๋ฐ์ดํฐ ๊ท๋ชจ๊ฐ ์ฆ๊ฐํ๋ฉด์ ๋ฐ์ํ๋ ๋ณ๋ชฉ์ ๋ถ์ํ๊ณ , ๋ฐ์ดํฐ๋ฒ ์ด์คยท๋น๋๊ธฐ ์ฒ๋ฆฌยท์๋น์ค ๊ตฌ์กฐ๋ฅผ ๊ฐ์ ํด ์ฑ๋ฅ๊ณผ ํ์ฅ์ฑ์ ํ๋ณดํฉ๋๋ค.
๋ด๋น ์๋น์ค์ ํ ์คํธ, ๋ฐฐํฌ, ๋ชจ๋ํฐ๋ง๊ณผ ์ฅ์ ๋์์ ์ฐธ์ฌํ๋ฉฐ, ์ด์ ์ค ๋ฐ๊ฒฌํ ๋ฌธ์ ๋ฅผ ์์ ์ฑ๊ณผ ๋ณด์ ๊ฐ์ ์ผ๋ก ์ฐ๊ฒฐํฉ๋๋ค.
๋ฐฑ์๋ ์์ง๋์ด๋ง ๋ถ์ผ์์ 5๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ
์คํํธ์ ๋๋ ์ด์ ์คํ๋ ๋น ๋ฅด๊ฒ ๋ณํํ๋ ํ๊ฒฝ์์์ ๊ฒฝํ์ ํตํด, ๋ถํ์คํ ์ํฉ์์๋ ๊ธฐ์ ์ ํ๋จ์ ์ฃผ๋ํ๊ณ ํ๋ก์ ํธ๋ฅผ ์ด๋ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Go, Java/Kotlin ๋ฑ ๋ฐฑ์๋ ์ธ์ด์ ๋ํ ๊น์ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก ํ๋ก๋์ ์์ค์ ์์คํ ์ ์ค๊ณํ๊ณ ์ด์ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๊ด๊ณํ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๋ํ ๊น์ ์ดํด์ ๋ณต์กํ ์ฟผ๋ฆฌ ์ต์ ํ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ
์ด๋ฒคํธ ๊ธฐ๋ฐ ์ํคํ ์ฒ(Kafka, SQS ๋ฑ)๋ฅผ ํ์ฉํ ๋ถ์ฐ ์์คํ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Kubernetes, AWS ๋ฑ ํด๋ผ์ฐ๋ ๋ค์ดํฐ๋ธ ํ๊ฒฝ์์ ๋๊ท๋ชจ ์์คํ ์ ์ค๊ณํ๊ณ ์ด์ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ. ๋จ์ํ ๊ธฐ๋ฅ ๊ตฌํ์ ๋์ด ์์คํ ์ ํ์ฅ์ฑ, ์์ ์ฑ, ์ด์ ํจ์จ์ฑ์ ๊ณ ๋ คํ ์ํคํ ์ฒ ๊ฒฐ์ ์ ์ฃผ๋ํด์จ ๋ถ
์ธ์ฆ(OAuth, SSO), ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ ๋ฑ ํ๋ซํผ ํต์ฌ ๋๋ฉ์ธ์ ๋ํ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก, ๋ณต์กํ ๋น์ฆ๋์ค ์๊ตฌ์ฌํญ์ ๊ธฐ์ ์ ์ผ๋ก ๊ตฌํํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ํฐํ๋ผ์ด์ฆ ํ๊ฒฝ(B2B SaaS, ๋ฉํฐํ ๋์ ๋ฑ)์์ ์ ๋๋ฉ์ธ๋ค์ ๋ค๋ค๋ณธ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Go์ ๋ํ ๊น์ ์ดํด์ ์ค๋ฌด ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ
AI/ML ๋ชจ๋ธ ๋๋ ๋ฐ์ดํฐ ํ์ดํ๋ผ์ธ๊ณผ ๋ฐฑ์๋ ์์คํ ์ ์ฐ๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ. ํนํ ์์ ์ฒ๋ฆฌ ๋๋ฉ์ธ์ ๋ํ ์ดํด๋ ๊ด์ฌ์ด ๋์ผ์ ๋ถ
FFmpeg, AWS Media Services ๋ฑ ์์ ์ฒ๋ฆฌ ๊ด๋ จ ํด ๋ฐ ํ๋ ์์ํฌ์ ๋ํ ์ค๋ฌด ๊ฒฝํ์ด ์์ผ์ ๋ถ
CI/CD ํ์ดํ๋ผ์ธ, ๋ชจ๋ํฐ๋ง ๋ฐ ๊ด์ธก ๋๊ตฌ(Prometheus, Grafana ๋ฑ)๋ฅผ ํ์ฉํ ์์คํ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์
Tokens Never Sleep: ํธ์ฐ๋ธ๋ฉ์ค๊ฐ AI ์์ด์ ํธ์ ์ผํ๋ฉฐ ๋ฐฐ์ด 3๊ฐ์์ ๊ธฐ๋ก
์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค
Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น?
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\n์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.\n\nNEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.\n\n์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.\n\n\n\n\nABOUT THE TEAM\n\nForgeํ์ ํธ์ฐ๋ธ๋ฉ์ค๊ฐ ์์ฒด ๊ฐ๋ฐํ AI ๋ชจ๋ธ์ ๊ณ ๊ฐ์ด ์ค์ ๋ก ํ์ฉํ ์ ์๋๋ก ์ฐ๊ฒฐํ๋ B2B SaaS ํ๋ซํผ์ ๋ง๋๋ ํ์ ๋๋ค. ํ์ฌ๋ API, SDK, ๊ทธ๋ฆฌ๊ณ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ธ Playground๋ฅผ ํตํด ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ๋ค์ํ tier์ ๊ณ ๊ฐ์๊ฒ ํธ์ฐ๋ธ๋ฉ์ค์ ๊ธฐ์ ์ ์ ๊ณตํ๊ณ ์์ต๋๋ค. ์์ผ๋ก๋ ์ธ์ฆ, ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ, ๊ทธ๋ฆฌ๊ณ ๋ชจ๋ ์ ํ์ ๊ฑธ์ณ ์ผ๊ด๋ ๋ฐ์ดํฐ ๋ ์ด์ด๋ฅผ ์ ๊ณตํ๋ ๊ณตํต ๊ธฐ๋ฐ์ ๊ตฌ์ถํ๋ฉฐ, ํธ์ฐ๋ธ๋ฉ์ค์ ๋ชจ๋ ์ ํ์ด ๊ทธ ์์์ ๋์ํ ์ ์๋ ํ๋ซํผ์ผ๋ก ๋ฐ์ ํด ๋๊ฐ ๊ฒ์ ๋๋ค. ๋ฏธ๊ตญ ์ํ๋์์ค์ฝ์ ํ๊ตญ ์์ธ ๋ ์คํผ์ค๋ฅผ ์ค์ฌ์ผ๋ก, ๋ค์ํ ๋ฐฐ๊ฒฝ์ ๊ฐ์ง ํ์๋ค์ด ํ๋์ ํ์ผ๋ก ํ๋ ฅํ๋ฉฐ ์ ํ์ ๋ง๋ค์ด ๊ฐ๊ณ ์์ต๋๋ค.\n\n์ ํฌ ํ์ ์์จ์ฑ๊ณผ ์คํ ๋ง์ธ๋๋ฅผ ํต์ฌ ๊ฐ์น๋ก ์ผ์ต๋๋ค. ๋ชจ๋ ํ์์ด ์ฃผ๋์ ์ผ๋ก ๋ชฉํ๋ฅผ ์ค์ ํ๊ณ ์คํํ๋ฉฐ, ๋ ๋์ ์ ํ์ ์ํด ์์ ๋กญ๊ฒ ์๊ฒฌ์ ์ ์ํ๊ณ ๋ ผ์ํ๋ ๋ฌธํ๋ฅผ ์งํฅํฉ๋๋ค. ์์ง๋์ด๋ง ํ์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ PM๊ณผ ๊ธด๋ฐํ ๋ ผ์ํ๋ฉฐ ์์คํ ์ ๋์์ธํ๊ณ , ๊ตฌํ๋ ์ฝ๋๋ ์๋ก ๊ฐ์ ๋ฆฌ๋ทฐ๋ฅผ ํตํด ์์ฑ๋๋ฅผ ๋์ ๋๋ค.\n\n\n\n\nABOUT THE ROLE\n\nํธ์ฐ๋ธ๋ฉ์ค์ Forge ํ์ ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ์์ฒด ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ์ ํ๊ณผ ์๋น์ค์ ์์ ์ ์ผ๋ก ํ์ฉํ ์ ์๋๋ก ๊ฐ๋ฐ์ ํ๋ซํผ์ ๊ตฌ์ถํ๊ณ ์ด์ํฉ๋๋ค. API, SDK, Playground๋ฅผ ํตํ ๋ชจ๋ธ ์ ๊ทผ๊ณผ ์์ ๋ฐ์ดํฐ ๊ด๋ฆฌ๋ถํฐ ์ธ์ฆ, ๊ณ์ ยท์กฐ์ง ๋ฐ ๊ถํ ๊ด๋ฆฌ, ๋น๋ง, ์์ฒญ ์๋์ ์ฌ์ฉ๋ ์ ์ด๊น์ง ๊ณ ๊ฐ์ ๋ชจ๋ธ ํ์ฉ์ ํ์ํ ๊ณตํต ๊ธฐ๋ฐ์ ์ฑ ์์ง๋๋ค.\n\nSenior Backend Engineer๋ ์ด ํ๋ซํผ์ ํต์ฌ ๋ฐฑ์๋ ์์คํ ์ ์ค๊ณํ๊ณ ๊ฐ๋ฐํ๋ฉฐ, ๋ค์ํ ๊ณ ๊ฐ์ ํธ๋ํฝ๊ณผ ๋ฐ์ดํฐ ๊ท๋ชจ๋ฅผ ์ง์ํ ์ ์๋๋ก ์ฑ๋ฅ, ์์ ์ฑ, ํ์ฅ์ฑ์ ๊ฐ์ ํฉ๋๋ค. ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ์ฐธ์ฌํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ตฌ์ฒด์ ์ธ ์ธํฐํ์ด์ค์ ๋ฐฑ์๋ ์๋ฃจ์ ์ผ๋ก ๋ฐ์ ์ํค๋ ๊ณผ์ ์ ์ฃผ๋ํฉ๋๋ค.\n\nํ๋ก๋ํธ ๋งค๋์ , ํ๋ก ํธ์๋ ์์ง๋์ด, ML ๋ฐ ํ๋ซํผ ์์ง๋์ด์ ๊ธด๋ฐํ ํ๋ ฅํ๋ฉฐ, ๋ด๋น ์๋น์ค์ ์ค๊ณ๋ถํฐ ๋ฐฐํฌ์ ์ด์๊น์ง ์ฑ ์์ง๋๋ค.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - ํ๋ก๋ํธ ๋งค๋์ , ํ๋ก ํธ์๋ ์์ง๋์ด์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ๋ ฅํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ตฌ์ฒด์ ์ธ API์ ๋ฐฑ์๋ ์๋ฃจ์ ์ผ๋ก ์ ์ํ๊ณ , ๋ด๋น ์์ญ์ ์ค๊ณ์ ๊ตฌํ์ ์ฃผ๋ํฉ๋๋ค.\n\n - ์ธ์ฆ, ๊ณ์ ยท์กฐ์ง ๋ฐ ๊ถํ ๊ด๋ฆฌ, ๋น๋ง, ์ฌ์ฉ๋ ์ธก์ ๊ณผ ์ ํ ๋ฑ ์ ํ ๊ณตํต์ ํต์ฌ ์์คํ ์ ๊ฐ๋ฐํ๊ณ ๊ฐ์ ํฉ๋๋ค.\n\n - ์์ ๋ฐ์ดํฐ์ ์ ๋ก๋ยท๊ด๋ฆฌ์ ๋ชจ๋ธ ํ์ฉ์ ์ง์ํ๋ API๋ฅผ ๊ฐ๋ฐํ๋ฉฐ, ์ผ๊ด๋ ์ฌ์ฉ ๊ฒฝํ๊ณผ ๊ธฐ์กด ๊ณ ๊ฐ ์ฐ๋์ ํธํ์ฑ์ ์ ์งํฉ๋๋ค.\n\n - ๊ณ ๊ฐ์ ํธ๋ํฝ๊ณผ ๋ฐ์ดํฐ ๊ท๋ชจ๊ฐ ์ฆ๊ฐํ๋ฉด์ ๋ฐ์ํ๋ ๋ณ๋ชฉ์ ๋ถ์ํ๊ณ , ๋ฐ์ดํฐ๋ฒ ์ด์คยท๋น๋๊ธฐ ์ฒ๋ฆฌยท์๋น์ค ๊ตฌ์กฐ๋ฅผ ๊ฐ์ ํด ์ฑ๋ฅ๊ณผ ํ์ฅ์ฑ์ ํ๋ณดํฉ๋๋ค.\n\n - ๋ด๋น ์๋น์ค์ ํ ์คํธ, ๋ฐฐํฌ, ๋ชจ๋ํฐ๋ง๊ณผ ์ฅ์ ๋์์ ์ฐธ์ฌํ๋ฉฐ, ์ด์ ์ค ๋ฐ๊ฒฌํ ๋ฌธ์ ๋ฅผ ์์ ์ฑ๊ณผ ๋ณด์ ๊ฐ์ ์ผ๋ก ์ฐ๊ฒฐํฉ๋๋ค.\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - ๋ฐฑ์๋ ์์ง๋์ด๋ง ๋ถ์ผ์์ 5๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ\n\n - ์คํํธ์ ๋๋ ์ด์ ์คํ๋ ๋น ๋ฅด๊ฒ ๋ณํํ๋ ํ๊ฒฝ์์์ ๊ฒฝํ์ ํตํด, ๋ถํ์คํ ์ํฉ์์๋ ๊ธฐ์ ์ ํ๋จ์ ์ฃผ๋ํ๊ณ ํ๋ก์ ํธ๋ฅผ ์ด๋ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Go, Java/Kotlin ๋ฑ ๋ฐฑ์๋ ์ธ์ด์ ๋ํ ๊น์ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก ํ๋ก๋์ ์์ค์ ์์คํ ์ ์ค๊ณํ๊ณ ์ด์ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๊ด๊ณํ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๋ํ ๊น์ ์ดํด์ ๋ณต์กํ ์ฟผ๋ฆฌ ์ต์ ํ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ\n\n - ์ด๋ฒคํธ ๊ธฐ๋ฐ ์ํคํ ์ฒ(Kafka, SQS ๋ฑ)๋ฅผ ํ์ฉํ ๋ถ์ฐ ์์คํ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Kubernetes, AWS ๋ฑ ํด๋ผ์ฐ๋ ๋ค์ดํฐ๋ธ ํ๊ฒฝ์์ ๋๊ท๋ชจ ์์คํ ์ ์ค๊ณํ๊ณ ์ด์ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ. ๋จ์ํ ๊ธฐ๋ฅ ๊ตฌํ์ ๋์ด ์์คํ ์ ํ์ฅ์ฑ, ์์ ์ฑ, ์ด์ ํจ์จ์ฑ์ ๊ณ ๋ คํ ์ํคํ ์ฒ ๊ฒฐ์ ์ ์ฃผ๋ํด์จ ๋ถ\n\n - ์ธ์ฆ(OAuth, SSO), ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ ๋ฑ ํ๋ซํผ ํต์ฌ ๋๋ฉ์ธ์ ๋ํ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก, ๋ณต์กํ ๋น์ฆ๋์ค ์๊ตฌ์ฌํญ์ ๊ธฐ์ ์ ์ผ๋ก ๊ตฌํํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - ์ํฐํ๋ผ์ด์ฆ ํ๊ฒฝ(B2B SaaS, ๋ฉํฐํ ๋์ ๋ฑ)์์ ์ ๋๋ฉ์ธ๋ค์ ๋ค๋ค๋ณธ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Go์ ๋ํ ๊น์ ์ดํด์ ์ค๋ฌด ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ\n\n - AI/ML ๋ชจ๋ธ ๋๋ ๋ฐ์ดํฐ ํ์ดํ๋ผ์ธ๊ณผ ๋ฐฑ์๋ ์์คํ ์ ์ฐ๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ. ํนํ ์์ ์ฒ๋ฆฌ ๋๋ฉ์ธ์ ๋ํ ์ดํด๋ ๊ด์ฌ์ด ๋์ผ์ ๋ถ\n\n - FFmpeg, AWS Media Services ๋ฑ ์์ ์ฒ๋ฆฌ ๊ด๋ จ ํด ๋ฐ ํ๋ ์์ํฌ์ ๋ํ ์ค๋ฌด ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - CI/CD ํ์ดํ๋ผ์ธ, ๋ชจ๋ํฐ๋ง ๋ฐ ๊ด์ธก ๋๊ตฌ(Prometheus, Grafana ๋ฑ)๋ฅผ ํ์ฉํ ์์คํ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n\n\n\nREAD MORE ABOUT THE TEAM\n\n - ๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์ https://www.twelvelabs.io/ko/blog/estherkim-eng-interview?category-4=korean\n\n - Tokens Never Sleep: ํธ์ฐ๋ธ๋ฉ์ค๊ฐ AI ์์ด์ ํธ์ ์ผํ๋ฉฐ ๋ฐฐ์ด 3๊ฐ์์ ๊ธฐ๋ก https://www.twelvelabs.io/ko/blog/tokens-never-sleep-%ED%8A%B8%EC%9B%B0%EB%B8%8C%EB%9E%A9%EC%8A%A4%EA%B0%80-%EB%B0%B0%EC%9A%B4-%EA%B2%83%EB%93%A4?category-4=korean\n\n - ์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค https://www.twelvelabs.io/ko/blog/rate-limiter-implementation?category-4=korean\n\n - Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น? https://www.twelvelabs.io/ko/blog/spec-driven-test-automation?category-4=korean\n \n ย \n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\nGrowth & Tools\n\n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n\n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n\n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n\n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n\n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n\n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n\n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\nMeal & Snack\n\n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n\n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n\n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\nWellness & Family\n\n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n\n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n\n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n\n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"d24bd28b-fa3d-4093-8af7-b4069221bdb6","title":"Senior Frontend Engineer, Forge","department":"Tech","team":"Engineering ","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-10-15T13:44:51.137+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/d24bd28b-fa3d-4093-8af7-b4069221bdb6","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/d24bd28b-fa3d-4093-8af7-b4069221bdb6/application","descriptionHtml":"์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข
ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ
์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.
NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์
์
๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์
๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.
์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.
Forgeํ์ ํธ์ฐ๋ธ๋ฉ์ค๊ฐ ์์ฒด ๊ฐ๋ฐํ AI ๋ชจ๋ธ์ ๊ณ ๊ฐ์ด ์ค์ ๋ก ํ์ฉํ ์ ์๋๋ก ์ฐ๊ฒฐํ๋ B2B SaaS ํ๋ซํผ์ ๋ง๋๋ ํ์ ๋๋ค. ํ์ฌ๋ API, SDK, ๊ทธ๋ฆฌ๊ณ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ธ Playground๋ฅผ ํตํด ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ๋ค์ํ tier์ ๊ณ ๊ฐ์๊ฒ ํธ์ฐ๋ธ๋ฉ์ค์ ๊ธฐ์ ์ ์ ๊ณตํ๊ณ ์์ต๋๋ค. ์์ผ๋ก๋ ์ธ์ฆ, ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ, ๊ทธ๋ฆฌ๊ณ ๋ชจ๋ ์ ํ์ ๊ฑธ์ณ ์ผ๊ด๋ ๋ฐ์ดํฐ ๋ ์ด์ด๋ฅผ ์ ๊ณตํ๋ ๊ณตํต ๊ธฐ๋ฐ์ ๊ตฌ์ถํ๋ฉฐ, ํธ์ฐ๋ธ๋ฉ์ค์ ๋ชจ๋ ์ ํ์ด ๊ทธ ์์์ ๋์ํ ์ ์๋ ํ๋ซํผ์ผ๋ก ๋ฐ์ ํด ๋๊ฐ ๊ฒ์ ๋๋ค. ๋ฏธ๊ตญ ์ํ๋์์ค์ฝ์ ํ๊ตญ ์์ธ ๋ ์คํผ์ค๋ฅผ ์ค์ฌ์ผ๋ก, ๋ค์ํ ๋ฐฐ๊ฒฝ์ ๊ฐ์ง ํ์๋ค์ด ํ๋์ ํ์ผ๋ก ํ๋ ฅํ๋ฉฐ ์ ํ์ ๋ง๋ค์ด ๊ฐ๊ณ ์์ต๋๋ค.
์ ํฌ ํ์ ์์จ์ฑ๊ณผ ์คํ ๋ง์ธ๋๋ฅผ ํต์ฌ ๊ฐ์น๋ก ์ผ์ต๋๋ค. ๋ชจ๋ ํ์์ด ์ฃผ๋์ ์ผ๋ก ๋ชฉํ๋ฅผ ์ค์ ํ๊ณ ์คํํ๋ฉฐ, ๋ ๋์ ์ ํ์ ์ํด ์์ ๋กญ๊ฒ ์๊ฒฌ์ ์ ์ํ๊ณ ๋ ผ์ํ๋ ๋ฌธํ๋ฅผ ์งํฅํฉ๋๋ค. ์์ง๋์ด๋ง ํ์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ PM๊ณผ ๊ธด๋ฐํ ๋ ผ์ํ๋ฉฐ ์์คํ ์ ๋์์ธํ๊ณ , ๊ตฌํ๋ ์ฝ๋๋ ์๋ก ๊ฐ์ ๋ฆฌ๋ทฐ๋ฅผ ํตํด ์์ฑ๋๋ฅผ ๋์ ๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค์ Forge ํ์ ๊ณ ๊ฐ์ด ํธ์ฐ๋ธ๋ฉ์ค์ ์์ AI ๊ธฐ์ ์ ์ฝ๊ฒ ํ์ํ๊ณ ์ค์ ์ ํ๊ณผ ์ ๋ฌด์ ํ์ฉํ ์ ์๋๋ก ํ๋ซํผ๊ณผ ์ฌ์ฉ์ ๊ฒฝํ์ ๊ตฌ์ถํฉ๋๋ค. Senior Frontend Engineer๋ Playground์ Jockey App์ ๋ด๋นํ๋ฉฐ, ๊ฐ ์ ํ์ ๋ชฉ์ ๊ณผ ์ฌ์ฉ์ ํ๋ฆ์ ๋ง๋ ์ง๊ด์ ์ด๊ณ ์์ฑ๋ ๋์ ๊ฒฝํ์ ์ ๊ณตํฉ๋๋ค.
์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ์ฐธ์ฌํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ๊ณผ ๋ณต์กํ AI ๊ธฐ๋ฅ์ ์ฌ์ฉํ๊ธฐ ์ฌ์ด ์ธํฐํ์ด์ค๋ก ๊ตฌ์ฒดํํฉ๋๋ค. ๋ด๋น ์ ํ์ ํ๋ก ํธ์๋ ๊ตฌ์กฐ๋ฅผ ์ค๊ณํ๊ณ , ์ฌ์ฌ์ฉ ๊ฐ๋ฅํ ์ปดํฌ๋ํธ์ ๊ณตํต ํจํด์ ๋ฐ์ ์์ผ ์ฌ์ฉ์ฑ, ์ฑ๋ฅ, ์ ์ง๋ณด์์ฑ์ ๋์ ๋๋ค.
ํ๋ก๋ํธ ๋งค๋์ , ๋์์ด๋, ๋ฐฑ์๋ ๋ฐ AI ์์ง๋์ด์ ๊ธด๋ฐํ ํ๋ ฅํ๋ฉฐ, ๋ด๋น ๊ธฐ๋ฅ์ ์ค๊ณ์ ๊ตฌํ๋ถํฐ ์ถ์ ์ดํ ์ฌ์ฉ์ ํผ๋๋ฐฑ์ ๋ฐ์ํ ๊ฐ์ ๊น์ง ์ฃผ๋ํฉ๋๋ค.
Playground์ ๋ชจ๋ธ ํ์ยทํ์ฉ ๊ฒฝํ๊ณผ Jockey App์ AI ์์ด์ ํธ ์ฌ์ฉ ๊ฒฝํ์ ์ค๊ณํ๊ณ ๊ฐ๋ฐํด, ๊ณ ๊ฐ์ด ๋ณต์กํ ๊ธฐ๋ฅ์ ์ง๊ด์ ์ผ๋ก ์ฌ์ฉํ ์ ์๋๋ก ํฉ๋๋ค.
Jockey App์ ๋ํํ ์ธํฐํ์ด์ค, ์ค์๊ฐ ์๋ต, ์์ ์งํ ์ํ์ ๊ฒฐ๊ณผ ํ์๋ฅผ ๊ตฌํํ๊ณ , ๋๊ธฐยท์ค๋ฅยท์ฌ์๋ ์ํฉ์์๋ ๋ช ํํ ์ฌ์ฉ์ ๊ฒฝํ์ ์ ๊ณตํฉ๋๋ค.
์ธ์ฆ, ์กฐ์ง ๊ด๋ฆฌ, ๋น๋ง, ์ฌ์ฉ๋ ๋ฑ ๊ณตํต ํ๋ซํผ ๊ธฐ๋ฅ๊ณผ ๊ฐ ์ ํ์ ๋ณต์กํ ๋ฐ์ดํฐยท์ํ๋ฅผ ์์ ์ ์ผ๋ก ๊ด๋ฆฌํ๋ ํ๋ก ํธ์๋ ๊ตฌ์กฐ๋ฅผ ์ค๊ณํ๊ณ ๊ฐ์ ํฉ๋๋ค.
PM, ๋์์ด๋์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ๋ ฅํด ์ฌ์ฉ์ ํ๋ฆ๊ณผ ์ธํฐ๋์ ์ ๊ตฌ์ฒดํํ๊ณ , ์ฌ์ฉ์ฑ๊ณผ ๊ธฐ์ ์ ์ ์ฝ์ ๊ณ ๋ คํ ๋์์ ์ฃผ๋์ ์ผ๋ก ์ ์ํฉ๋๋ค.
๋ฐฑ์๋ ๋ฐ AI ์์ง๋์ด์ API์ ์ด๋ฒคํธ ์ธํฐํ์ด์ค ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ์ ํด, ์๋ก์ด ๋ชจ๋ธ๊ณผ ์์ด์ ํธ ๊ธฐ๋ฅ์ Playground์ Jockey App์ ํตํฉํฉ๋๋ค.
๊ฐ ์ ํ์ ํน์ฑ์ ์กด์คํ๋ฉด์ ์ฌ์ฌ์ฉ ๊ฐ๋ฅํ ์ปดํฌ๋ํธ์ ๊ณตํต UI ํจํด์ ๋ฐ์ ์ํค๊ณ , ํ ์คํธยท์ฑ๋ฅ ์ต์ ํยท์ ๊ทผ์ฑ ๊ฐ์ ์ ํตํด ์ ํ ํ์ง์ ๋์ ๋๋ค.
5๋ ์ด์์ ํ๋ก ํธ์๋ ๊ฐ๋ฐ ๊ฒฝํ์ ๋ฐํ์ผ๋ก, ํ๋ก๋์ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ ์ค๊ณ๋ถํฐ ์ถ์์ ์ด์๊น์ง ์ฃผ๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
React์ TypeScript์ ๋ฅ์ํ๊ณ , Next.js, React Query ๋ฑ์ ๋๊ตฌ๋ฅผ ํ์ฉํด ์น ์ ํ๋ฆฌ์ผ์ด์ ์ ๊ตฌ์กฐ์ ๋ฐ์ดํฐ ํ๋ฆ์ ์ค๊ณํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๋น๋๊ธฐ ๋ฐ์ดํฐ ํ๋ฆ๊ณผ ๋ณต์กํ UI ์ํ๋ฅผ ๋ค๋ค๋ณธ ๊ฒฝํ์ด ์๊ณ , ๋ก๋ฉยท์ค๋ฅยท์ฌ์๋ ๋ฑ ๋ค์ํ ์ํฉ์ ๊ณ ๋ คํด ์์ ์ ์ธ ์ฌ์ฉ์ ๊ฒฝํ์ ๊ตฌํํ ์ ์๋ ๋ถ
์ปดํฌ๋ํธ ์ค๊ณ, ์ํ ๊ด๋ฆฌ, ํ ์คํธ์ ์ฑ๋ฅ ์ต์ ํ์ ๋ํ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก ํ๋ก ํธ์๋์ ํ์ง๊ณผ ์ ์ง๋ณด์์ฑ์ ๊ฐ์ ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๋ณํํ๋ ์๊ตฌ์ฌํญ ์์์ ์ฐ์ ์์์ ๊ธฐ์ ์ ํธ๋ ์ด๋์คํ๋ฅผ ํ๋จํ๊ณ , PMยท๋์์ด๋ยท๋ฐฑ์๋ ์์ง๋์ด์ ํด๊ฒฐ์ฑ ์ ๊ตฌ์ฒดํํ ์ ์๋ ๋ถ
๋น์ฆ๋์ค ์์ค์ ์์ด๋ก ๊ธฐ์ ์ ๋ ผ์์ ๋ฌธ์ ์์ฑ์ด ๊ฐ๋ฅํ๋ฉฐ, ๋ค์ํ ์ง๊ตฐ ๋ฐ ์ง์ญ์ ๋๋ฃ์ ํจ๊ณผ์ ์ผ๋ก ํ์ ํ ์ ์๋ ๋ถ
Tailwind์ ๊ฐ์ CSS ํ๋ ์์ํฌ ๋๋ ์์ฒด ๋์์ธ ์์คํ ์ ํ์ฉํด ๋ฐ์ํ ์น์ฌ์ดํธ๋ฅผ ๊ฐ๋ฐํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Figma ๋ฑ ์ฃผ์ ๋์์ธ ํด ์ฌ์ฉ ๊ฒฝํ ๋ฐ ์ธํ์ฐ์ค ๋์์ธํ๊ณผ์ ํ์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Jest, React Testing Library ๋ฑ ์คํ์์ค ๊ธฐ๋ฐ์ ๋จ์ ํ ์คํธ ๋๊ตฌ๋ฅผ ํ์ฉํ ํ ์คํธ ๊ฒฝํ์ด ์์ผ์ ๋ถ
REST API ๋ฐ API ์ค๊ณ์ ๋ํ ์ดํด์ Mock Service Worker๋ฅผ ์ด์ฉํ Mock API ์๋ฒ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ํฐํ๋ผ์ด์ฆ ์์ค์ ์ ํ ๊ฐ๋ฐ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ํํธ์จ์ด ๊ฐ๋ฐ ์๋ช ์ฃผ๊ธฐ(SDLC) ๋ฐ ํ๋ก ํธ์๋ ์ธํ๋ผ(CI/CD, ๋น๋ ๋๊ตฌ, ์บ์ฑ, ์ต์ ํ ๋ฑ)์ ๋ํ ์ดํด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
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๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์
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ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\n์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.\n\nNEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.\n\n์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.\n\n\n\n\nABOUT THE TEAM\n\nForgeํ์ ํธ์ฐ๋ธ๋ฉ์ค๊ฐ ์์ฒด ๊ฐ๋ฐํ AI ๋ชจ๋ธ์ ๊ณ ๊ฐ์ด ์ค์ ๋ก ํ์ฉํ ์ ์๋๋ก ์ฐ๊ฒฐํ๋ B2B SaaS ํ๋ซํผ์ ๋ง๋๋ ํ์ ๋๋ค. ํ์ฌ๋ API, SDK, ๊ทธ๋ฆฌ๊ณ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ธ Playground๋ฅผ ํตํด ๊ฐ์ธ ๊ฐ๋ฐ์๋ถํฐ ๋๊ท๋ชจ ์ํฐํ๋ผ์ด์ฆ ๊ณ ๊ฐ๊น์ง ๋ค์ํ tier์ ๊ณ ๊ฐ์๊ฒ ํธ์ฐ๋ธ๋ฉ์ค์ ๊ธฐ์ ์ ์ ๊ณตํ๊ณ ์์ต๋๋ค. ์์ผ๋ก๋ ์ธ์ฆ, ๋น๋ง, ์กฐ์ง ๊ด๋ฆฌ, ๊ทธ๋ฆฌ๊ณ ๋ชจ๋ ์ ํ์ ๊ฑธ์ณ ์ผ๊ด๋ ๋ฐ์ดํฐ ๋ ์ด์ด๋ฅผ ์ ๊ณตํ๋ ๊ณตํต ๊ธฐ๋ฐ์ ๊ตฌ์ถํ๋ฉฐ, ํธ์ฐ๋ธ๋ฉ์ค์ ๋ชจ๋ ์ ํ์ด ๊ทธ ์์์ ๋์ํ ์ ์๋ ํ๋ซํผ์ผ๋ก ๋ฐ์ ํด ๋๊ฐ ๊ฒ์ ๋๋ค. ๋ฏธ๊ตญ ์ํ๋์์ค์ฝ์ ํ๊ตญ ์์ธ ๋ ์คํผ์ค๋ฅผ ์ค์ฌ์ผ๋ก, ๋ค์ํ ๋ฐฐ๊ฒฝ์ ๊ฐ์ง ํ์๋ค์ด ํ๋์ ํ์ผ๋ก ํ๋ ฅํ๋ฉฐ ์ ํ์ ๋ง๋ค์ด ๊ฐ๊ณ ์์ต๋๋ค.\n\n์ ํฌ ํ์ ์์จ์ฑ๊ณผ ์คํ ๋ง์ธ๋๋ฅผ ํต์ฌ ๊ฐ์น๋ก ์ผ์ต๋๋ค. ๋ชจ๋ ํ์์ด ์ฃผ๋์ ์ผ๋ก ๋ชฉํ๋ฅผ ์ค์ ํ๊ณ ์คํํ๋ฉฐ, ๋ ๋์ ์ ํ์ ์ํด ์์ ๋กญ๊ฒ ์๊ฒฌ์ ์ ์ํ๊ณ ๋ ผ์ํ๋ ๋ฌธํ๋ฅผ ์งํฅํฉ๋๋ค. ์์ง๋์ด๋ง ํ์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ PM๊ณผ ๊ธด๋ฐํ ๋ ผ์ํ๋ฉฐ ์์คํ ์ ๋์์ธํ๊ณ , ๊ตฌํ๋ ์ฝ๋๋ ์๋ก ๊ฐ์ ๋ฆฌ๋ทฐ๋ฅผ ํตํด ์์ฑ๋๋ฅผ ๋์ ๋๋ค.\n\n\n\n\nABOUT THE ROLE\n\nํธ์ฐ๋ธ๋ฉ์ค์ Forge ํ์ ๊ณ ๊ฐ์ด ํธ์ฐ๋ธ๋ฉ์ค์ ์์ AI ๊ธฐ์ ์ ์ฝ๊ฒ ํ์ํ๊ณ ์ค์ ์ ํ๊ณผ ์ ๋ฌด์ ํ์ฉํ ์ ์๋๋ก ํ๋ซํผ๊ณผ ์ฌ์ฉ์ ๊ฒฝํ์ ๊ตฌ์ถํฉ๋๋ค. Senior Frontend Engineer๋ Playground์ Jockey App์ ๋ด๋นํ๋ฉฐ, ๊ฐ ์ ํ์ ๋ชฉ์ ๊ณผ ์ฌ์ฉ์ ํ๋ฆ์ ๋ง๋ ์ง๊ด์ ์ด๊ณ ์์ฑ๋ ๋์ ๊ฒฝํ์ ์ ๊ณตํฉ๋๋ค.\n\n์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ์ฐธ์ฌํด ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ๊ณผ ๋ณต์กํ AI ๊ธฐ๋ฅ์ ์ฌ์ฉํ๊ธฐ ์ฌ์ด ์ธํฐํ์ด์ค๋ก ๊ตฌ์ฒดํํฉ๋๋ค. ๋ด๋น ์ ํ์ ํ๋ก ํธ์๋ ๊ตฌ์กฐ๋ฅผ ์ค๊ณํ๊ณ , ์ฌ์ฌ์ฉ ๊ฐ๋ฅํ ์ปดํฌ๋ํธ์ ๊ณตํต ํจํด์ ๋ฐ์ ์์ผ ์ฌ์ฉ์ฑ, ์ฑ๋ฅ, ์ ์ง๋ณด์์ฑ์ ๋์ ๋๋ค.\n\nํ๋ก๋ํธ ๋งค๋์ , ๋์์ด๋, ๋ฐฑ์๋ ๋ฐ AI ์์ง๋์ด์ ๊ธด๋ฐํ ํ๋ ฅํ๋ฉฐ, ๋ด๋น ๊ธฐ๋ฅ์ ์ค๊ณ์ ๊ตฌํ๋ถํฐ ์ถ์ ์ดํ ์ฌ์ฉ์ ํผ๋๋ฐฑ์ ๋ฐ์ํ ๊ฐ์ ๊น์ง ์ฃผ๋ํฉ๋๋ค.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Playground์ ๋ชจ๋ธ ํ์ยทํ์ฉ ๊ฒฝํ๊ณผ Jockey App์ AI ์์ด์ ํธ ์ฌ์ฉ ๊ฒฝํ์ ์ค๊ณํ๊ณ ๊ฐ๋ฐํด, ๊ณ ๊ฐ์ด ๋ณต์กํ ๊ธฐ๋ฅ์ ์ง๊ด์ ์ผ๋ก ์ฌ์ฉํ ์ ์๋๋ก ํฉ๋๋ค.\n\n - Jockey App์ ๋ํํ ์ธํฐํ์ด์ค, ์ค์๊ฐ ์๋ต, ์์ ์งํ ์ํ์ ๊ฒฐ๊ณผ ํ์๋ฅผ ๊ตฌํํ๊ณ , ๋๊ธฐยท์ค๋ฅยท์ฌ์๋ ์ํฉ์์๋ ๋ช ํํ ์ฌ์ฉ์ ๊ฒฝํ์ ์ ๊ณตํฉ๋๋ค.\n\n - ์ธ์ฆ, ์กฐ์ง ๊ด๋ฆฌ, ๋น๋ง, ์ฌ์ฉ๋ ๋ฑ ๊ณตํต ํ๋ซํผ ๊ธฐ๋ฅ๊ณผ ๊ฐ ์ ํ์ ๋ณต์กํ ๋ฐ์ดํฐยท์ํ๋ฅผ ์์ ์ ์ผ๋ก ๊ด๋ฆฌํ๋ ํ๋ก ํธ์๋ ๊ตฌ์กฐ๋ฅผ ์ค๊ณํ๊ณ ๊ฐ์ ํฉ๋๋ค.\n\n - PM, ๋์์ด๋์ ์ ํ ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ๋ ฅํด ์ฌ์ฉ์ ํ๋ฆ๊ณผ ์ธํฐ๋์ ์ ๊ตฌ์ฒดํํ๊ณ , ์ฌ์ฉ์ฑ๊ณผ ๊ธฐ์ ์ ์ ์ฝ์ ๊ณ ๋ คํ ๋์์ ์ฃผ๋์ ์ผ๋ก ์ ์ํฉ๋๋ค.\n\n - ๋ฐฑ์๋ ๋ฐ AI ์์ง๋์ด์ API์ ์ด๋ฒคํธ ์ธํฐํ์ด์ค ์ค๊ณ ๋จ๊ณ๋ถํฐ ํ์ ํด, ์๋ก์ด ๋ชจ๋ธ๊ณผ ์์ด์ ํธ ๊ธฐ๋ฅ์ Playground์ Jockey App์ ํตํฉํฉ๋๋ค.\n\n - ๊ฐ ์ ํ์ ํน์ฑ์ ์กด์คํ๋ฉด์ ์ฌ์ฌ์ฉ ๊ฐ๋ฅํ ์ปดํฌ๋ํธ์ ๊ณตํต UI ํจํด์ ๋ฐ์ ์ํค๊ณ , ํ ์คํธยท์ฑ๋ฅ ์ต์ ํยท์ ๊ทผ์ฑ ๊ฐ์ ์ ํตํด ์ ํ ํ์ง์ ๋์ ๋๋ค.\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 5๋ ์ด์์ ํ๋ก ํธ์๋ ๊ฐ๋ฐ ๊ฒฝํ์ ๋ฐํ์ผ๋ก, ํ๋ก๋์ ์น ์ ํ๋ฆฌ์ผ์ด์ ์ ์ค๊ณ๋ถํฐ ์ถ์์ ์ด์๊น์ง ์ฃผ๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - React์ TypeScript์ ๋ฅ์ํ๊ณ , Next.js, React Query ๋ฑ์ ๋๊ตฌ๋ฅผ ํ์ฉํด ์น ์ ํ๋ฆฌ์ผ์ด์ ์ ๊ตฌ์กฐ์ ๋ฐ์ดํฐ ํ๋ฆ์ ์ค๊ณํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๋น๋๊ธฐ ๋ฐ์ดํฐ ํ๋ฆ๊ณผ ๋ณต์กํ UI ์ํ๋ฅผ ๋ค๋ค๋ณธ ๊ฒฝํ์ด ์๊ณ , ๋ก๋ฉยท์ค๋ฅยท์ฌ์๋ ๋ฑ ๋ค์ํ ์ํฉ์ ๊ณ ๋ คํด ์์ ์ ์ธ ์ฌ์ฉ์ ๊ฒฝํ์ ๊ตฌํํ ์ ์๋ ๋ถ\n\n - ์ปดํฌ๋ํธ ์ค๊ณ, ์ํ ๊ด๋ฆฌ, ํ ์คํธ์ ์ฑ๋ฅ ์ต์ ํ์ ๋ํ ์ดํด๋ฅผ ๋ฐํ์ผ๋ก ํ๋ก ํธ์๋์ ํ์ง๊ณผ ์ ์ง๋ณด์์ฑ์ ๊ฐ์ ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๋ณํํ๋ ์๊ตฌ์ฌํญ ์์์ ์ฐ์ ์์์ ๊ธฐ์ ์ ํธ๋ ์ด๋์คํ๋ฅผ ํ๋จํ๊ณ , PMยท๋์์ด๋ยท๋ฐฑ์๋ ์์ง๋์ด์ ํด๊ฒฐ์ฑ ์ ๊ตฌ์ฒดํํ ์ ์๋ ๋ถ\n\n - ๋น์ฆ๋์ค ์์ค์ ์์ด๋ก ๊ธฐ์ ์ ๋ ผ์์ ๋ฌธ์ ์์ฑ์ด ๊ฐ๋ฅํ๋ฉฐ, ๋ค์ํ ์ง๊ตฐ ๋ฐ ์ง์ญ์ ๋๋ฃ์ ํจ๊ณผ์ ์ผ๋ก ํ์ ํ ์ ์๋ ๋ถ\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Tailwind์ ๊ฐ์ CSS ํ๋ ์์ํฌ ๋๋ ์์ฒด ๋์์ธ ์์คํ ์ ํ์ฉํด ๋ฐ์ํ ์น์ฌ์ดํธ๋ฅผ ๊ฐ๋ฐํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Figma ๋ฑ ์ฃผ์ ๋์์ธ ํด ์ฌ์ฉ ๊ฒฝํ ๋ฐ ์ธํ์ฐ์ค ๋์์ธํ๊ณผ์ ํ์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Jest, React Testing Library ๋ฑ ์คํ์์ค ๊ธฐ๋ฐ์ ๋จ์ ํ ์คํธ ๋๊ตฌ๋ฅผ ํ์ฉํ ํ ์คํธ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - REST API ๋ฐ API ์ค๊ณ์ ๋ํ ์ดํด์ Mock Service Worker๋ฅผ ์ด์ฉํ Mock API ์๋ฒ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์ํฐํ๋ผ์ด์ฆ ์์ค์ ์ ํ ๊ฐ๋ฐ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์ํํธ์จ์ด ๊ฐ๋ฐ ์๋ช ์ฃผ๊ธฐ(SDLC) ๋ฐ ํ๋ก ํธ์๋ ์ธํ๋ผ(CI/CD, ๋น๋ ๋๊ตฌ, ์บ์ฑ, ์ต์ ํ ๋ฑ)์ ๋ํ ์ดํด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๋์์ ๊ด๋ จ ์๋น์ค(์์ ์คํธ๋ฆฌ๋ฐ, ์์ ๊ฒ์ ๋ฑ) ๊ฐ๋ฐ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n\n\n\nREAD MORE ABOUT THE TEAM\n\n - ๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์ https://www.twelvelabs.io/ko/blog/estherkim-eng-interview?category-4=korean\n\n - Tokens Never Sleep: ํธ์ฐ๋ธ๋ฉ์ค๊ฐ AI ์์ด์ ํธ์ ์ผํ๋ฉฐ ๋ฐฐ์ด 3๊ฐ์์ ๊ธฐ๋ก https://www.twelvelabs.io/ko/blog/tokens-never-sleep-%ED%8A%B8%EC%9B%B0%EB%B8%8C%EB%9E%A9%EC%8A%A4%EA%B0%80-%EB%B0%B0%EC%9A%B4-%EA%B2%83%EB%93%A4?category-4=korean\n\n - ์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค https://www.twelvelabs.io/ko/blog/rate-limiter-implementation?category-4=korean\n\n - Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น? https://www.twelvelabs.io/ko/blog/spec-driven-test-automation?category-4=korean\n\n\n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\n\n\n\nBENEFITS AND PERKS\n\nGrowth & Tools\n\n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n\n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n\n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n\n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n\n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n\n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n\n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\nMeal & Snack\n\n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n\n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n\n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\nWellness & Family\n\n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n\n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n\n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n\n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\n\n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"b465d736-63b9-477e-bad5-2b5e3bf4c204","title":"Legal Operations & Compliance Lead","department":"Operations","team":"Legal","employmentType":"FullTime","location":"Remote US","secondaryLocations":[],"publishedAt":"2026-09-23T21:05:43.270+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/b465d736-63b9-477e-bad5-2b5e3bf4c204","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/b465d736-63b9-477e-bad5-2b5e3bf4c204/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
Twelve Labs is hiring a Legal Operations & Compliance Manager to build and run the operational backbone of our Legal function. You'll own the systems, processes, and records that let a small Legal team support a fast-growing global business, spanning contract operations, corporate governance administration, outside-counsel management, IP portfolio coordination, compliance-program administration, and legal technology.
Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
Own Legal intake, triage, matter tracking, workflow administration, and status reporting.
Identify opportunities to replace repetitive manual work with standardized workflows, self-service tools, or automation.
Serve as the operational owner of the existing CLM and lead requirements gathering for future legal technology.
Maintain corporate records, governance calendars, and support board/committee meetings, filings, and entity administration.
Maintain a consolidated compliance calendar covering policies, training, audits, certifications, filings, assessments, and recurring reviews.
Coordinate compliance projects across Legal, Security, Engineering, Product, Finance, People, and other operational owners.
Support the legal and administrative components of SOC 2, CMMC, privacy, accessibility, AI governance, and similar initiatives.
Maintain policy inventories, review cycles, approval records, version histories, and employee acknowledgments.
Maintain Legal playbooks, standard operating procedures, decision trees, training materials, precedents, and internal guidance.
Coordinate cross-functional Legal projects and ensure that decisions, owners, deadlines, and follow-up actions are documented.
Serve as a responsive point of contact for questions regarding Legal processes, intake, contract status, signatures, records, and documentation.
Train employees on Legal systems and workflows.
5+ years in legal operations, senior paralegal, corporate governance, contract operations, or compliance operations, ideally in-house at a tech/software/AI company.
A track record of designing and owning processes, not just administering existing ones.
Experience with a CLM or matter-management system, contract repositories/metadata/renewals, and corporate governance recordkeeping.
Experience tracking outside-counsel budgets, invoices, or matter data.
Strong project management across functions, high attention to detail, and good judgment on when to escalate to an attorney.
Comfort with confidential and privileged information, and the ability to work autonomously while keeping Legal leadership informed.
Paralegal certificate, project management credential, or legal-ops certification.
Experience with SpotDraft, Ironclad, DocuSign, HubSpot, Carta, or similar applications.
Experience supporting privacy, security, AI, or accessibility compliance programs (SOC 2, CMMC, GDPR).
Experience supporting an international business or a venture-backed Series B/C company.
๐ค An open and inclusive culture and work environment
๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology
๐ฅ Full health, dental, and vision benefits
๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
๐ช Monthly wellness stipend
๐ Annual Learning & Development stipend to invest in your growth
๐ผ Global offices in San Francisco and Seoul, and coworking office memberships for remote team members
๐ VISA support where applicable
๐ Transportation stipend (SF & NY onsite only)
๐ฒ Daily meal support (SF & NY onsite only)
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\n\nWe 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.\n\n\nWe 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!\n\n\n\n\nABOUT THE ROLE\n\nTwelve Labs is hiring a Legal Operations & Compliance Manager to build and run the operational backbone of our Legal function. You'll own the systems, processes, and records that let a small Legal team support a fast-growing global business, spanning contract operations, corporate governance administration, outside-counsel management, IP portfolio coordination, compliance-program administration, and legal technology.\n\nCandidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Own Legal intake, triage, matter tracking, workflow administration, and status reporting.\n\n - Identify opportunities to replace repetitive manual work with standardized workflows, self-service tools, or automation.\n\n - Serve as the operational owner of the existing CLM and lead requirements gathering for future legal technology.\n\n - Maintain corporate records, governance calendars, and support board/committee meetings, filings, and entity administration.\n\n - Maintain a consolidated compliance calendar covering policies, training, audits, certifications, filings, assessments, and recurring reviews.\n\n - Coordinate compliance projects across Legal, Security, Engineering, Product, Finance, People, and other operational owners.\n\n - Support the legal and administrative components of SOC 2, CMMC, privacy, accessibility, AI governance, and similar initiatives.\n\n - Maintain policy inventories, review cycles, approval records, version histories, and employee acknowledgments.\n\n - Maintain Legal playbooks, standard operating procedures, decision trees, training materials, precedents, and internal guidance.\n\n - Coordinate cross-functional Legal projects and ensure that decisions, owners, deadlines, and follow-up actions are documented.\n\n - Serve as a responsive point of contact for questions regarding Legal processes, intake, contract status, signatures, records, and documentation.\n\n - Train employees on Legal systems and workflows.\n\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 5+ years in legal operations, senior paralegal, corporate governance, contract operations, or compliance operations, ideally in-house at a tech/software/AI company.\n\n - A track record of designing and owning processes, not just administering existing ones.\n\n - Experience with a CLM or matter-management system, contract repositories/metadata/renewals, and corporate governance recordkeeping.\n\n - Experience tracking outside-counsel budgets, invoices, or matter data.\n\n - Strong project management across functions, high attention to detail, and good judgment on when to escalate to an attorney.\n\n - Comfort with confidential and privileged information, and the ability to work autonomously while keeping Legal leadership informed.\n\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Paralegal certificate, project management credential, or legal-ops certification.\n\n - Experience with SpotDraft, Ironclad, DocuSign, HubSpot, Carta, or similar applications.\n\n - Experience supporting privacy, security, AI, or accessibility compliance programs (SOC 2, CMMC, GDPR).\n\n - Experience supporting an international business or a venture-backed Series B/C company.\n\n\n\n\nBENEFITS AND PERKS\n\n๐ค An open and inclusive culture and work environment\n\n๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology\n\n๐ฅ Full health, dental, and vision benefits\n\n๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years\n\n๐ช Monthly wellness stipend\n\n๐ Annual Learning & Development stipend to invest in your growth\n\n๐ผ Global offices in San Francisco and Seoul, and coworking office memberships for remote team members\n\n๐ VISA support where applicable\n\n๐ Transportation stipend (SF & NY onsite only)\n\n๐ฒ Daily meal support (SF & NY onsite only)\n\n\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"b80a6cc4-c322-438a-bfc4-d2a812ed3e91","title":"IT Support Engineer","department":"Tech","team":"Security Engineering & IT","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-25T17:50:27.025+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/b80a6cc4-c322-438a-bfc4-d2a812ed3e91","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/b80a6cc4-c322-438a-bfc4-d2a812ed3e91/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
TwelveLabs is looking for an IT Support Engineer to help build, operate, and scale the internal technology systems that keep our global workforce productive and secure.
This is a hands-on role spanning employee support, identity and access management, endpoint management, SaaS administration, automation, office technology, and IT operations. Youโll be a primary point of contact when something isnโt working, but just as importantly, youโll help eliminate recurring IT problems through better systems, automation, and tooling.
Youโll own and improve critical employee lifecycle workflows such as onboarding, access provisioning, device deployment, role changes, and offboarding. Youโll also work closely with Security, People, Legal & Compliance, Finance, and Engineering teams to support access, endpoints, and the growing ecosystem of SaaS and AI tools used across the company.
Our environment is global and highly distributed, with headquarters in San Francisco and Seoul, branch offices across the US and EU, and remote employees around the world. We operate with a modern, cloud-first technology stack and expect our IT systems to be automated, secure, compliant with global regulations, and easy for employees to use.
Weโre looking for someone who enjoys solving difficult technical problems, learns unfamiliar systems quickly, looks for opportunities to automate repetitive work, and believes great internal technology should mostly stay out of the userโs way.
Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
Serve as a primary point of contact for employee technology issues across hardware, operating systems, identity, networking, SaaS applications, and corporate infrastructure.
Diagnose and resolve issues across our primarily macOS device fleet, with additional support for Windows endpoints and other devices as-needed.
Administer core IT platforms including identity providers, productivity suites, MDM, endpoint security tooling, networking, and enterprise SaaS applications.
Own and improve onboarding, offboarding, role changes, device provisioning, and application access workflows.
Build and manage secure, high-performing Wi-Fi and IT access systems for our San Francisco & Seoul offices and future office locations
Build automation for provisioning, deprovisioning, access management, inventory, and other high-volume IT processes.
Use scripting, APIs, and automation platforms such as Python, Bash, and Okta Workflows to eliminate repetitive tasks.
Manage identity and access across platforms such as Okta, Google Workspace, GitHub, AWS, and enterprise SaaS applications.
Support office moves and reconfigurations, including coordinating logistics and ensuring minimal disruption to employees.
Support endpoint configuration, compliance, patching, and lifecycle management through modern MDM platforms.
Help evaluate, deploy, govern, and troubleshoot the AI development and productivity tools used across the company.
Support compliance on-going security and compliance audits; and maintain required technical IT controls and evidence across frameworks such as SOC 2, CMMC/NIST 800-171, GDPR, and ISO 27001.
Partner with Security, People Operations, and Legal & Compliance on access governance, endpoint security, IT controls, and other compliance initiatives.
Identify recurring support patterns and address them through automation, better tooling, documentation, or systemic fixes.
Support office technology and networking, including conference rooms, AV systems, wireless networks, switches, and related infrastructure.
Manage global IT asset lifecycle processes including procurement, inventory, deployment, recovery, and replacement.
Write and maintain internal IT documentation, runbooks, troubleshooting guides, and knowledge base content.
Drive technical escalations that require coordination across internal teams or vendors.
Participate in an on-call or escalation rotation as needed for business-critical issues outside normal US business hours.
4+ years of experience in IT engineering, systems administration, corporate IT, endpoint engineering, or technical support.
Experience in a startup, high-growth technology company, or similarly fast-moving environment, supporting a distributed workforce across multiple countries and/or time zones.
Strong, methodical troubleshooting skills across endpoints, applications, identity systems, and networks.
Significant hands-on experience supporting macOS, along with working knowledge of Windows.
Experience administering modern identity platforms such as Okta, Google Workspace, or Microsoft Entra ID.
Hands-on experience with device management configuration profiles, tooling, and MDM platforms such as Kandji, Jamf, or Microsoft Intune.
Experience implementing modern IAM protocols and industry standards such as SSO, SAML/OIDC/OAuth 2.0, least-privilege principles, and common access control models such as RBAC and ABAC.
Solid networking fundamentals, including TCP/IP, DNS, DHCP, Wi-Fi, VPN/ZTNA, routing, and switching.
Experience using Python, Bash, PowerShell, Go, APIs, or workflow automation to streamline operational tasks.
Hands-on experience building and maintaining the technical compliance controls behind frameworks such as SOC 2, ISO 27001, NIST 800-171/CMMC, PCI DSS, or GDPR
Strong communication skills and the ability to work effectively with users across a range of technical backgrounds.
A strong sense of urgency, ownership, and discipline to solve root causes rather than repeatedly treating symptoms.
An automation-first mindset and the ability to manage multiple competing workstreams and priorities.
Have hands-on experience with modern zero-trust, device trust, conditional access, or EDR security tooling such as CrowdStrike Falcon.
Have experience with modern zero-trust and secure access platforms such as Cloudflare Zero Trust, Zscaler, or similar.
Have experience supporting cloud infrastructure and managing identity and access management (IAM) across platforms such as AWS, GCP, or Azure.
Have supported engineering-heavy organizations using developer tooling, cloud infrastructure, and AI-assisted development platforms.
Have experience deploying or governing enterprise AI tools, LLM platforms, or AI coding assistants.
Have built integrations between HRIS, identity providers, MDM, ticketing systems, and SaaS applications.
Have contributed to major IT initiatives such as identity migrations, MDM deployments, SaaS rollouts, office build outs, or office network redesigns.
Hold relevant IT, networking, or system administrator certifications (e.g. CompTIA A+/Network+, Google Workspace Administrator, Okta Certified Administrator, Apple certifications)
๐ค An open and inclusive culture and work environment
๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology
๐ฅ Full health, dental, and vision benefits
๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
๐ช Monthly wellness stipend
๐ Annual Learning & Development stipend to invest in your growth
๐ผ Global offices in San Francisco and Seoul, and coworking office memberships for remote team members
๐ VISA support where applicable
๐ Transportation stipend (SF & NY onsite only)
๐ฒ Daily meal support (SF & NY onsite only)
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\n\nWe 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.\n\n\nWe 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!\n\n\n\n\nABOUT THE ROLE\n\nTwelveLabs is looking for an IT Support Engineer to help build, operate, and scale the internal technology systems that keep our global workforce productive and secure.\n\nThis is a hands-on role spanning employee support, identity and access management, endpoint management, SaaS administration, automation, office technology, and IT operations. Youโll be a primary point of contact when something isnโt working, but just as importantly, youโll help eliminate recurring IT problems through better systems, automation, and tooling.\n\nYouโll own and improve critical employee lifecycle workflows such as onboarding, access provisioning, device deployment, role changes, and offboarding. Youโll also work closely with Security, People, Legal & Compliance, Finance, and Engineering teams to support access, endpoints, and the growing ecosystem of SaaS and AI tools used across the company.\n\nOur environment is global and highly distributed, with headquarters in San Francisco and Seoul, branch offices across the US and EU, and remote employees around the world. We operate with a modern, cloud-first technology stack and expect our IT systems to be automated, secure, compliant with global regulations, and easy for employees to use.\n\nWeโre looking for someone who enjoys solving difficult technical problems, learns unfamiliar systems quickly, looks for opportunities to automate repetitive work, and believes great internal technology should mostly stay out of the userโs way.\n\nCandidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Serve as a primary point of contact for employee technology issues across hardware, operating systems, identity, networking, SaaS applications, and corporate infrastructure.\n\n - Diagnose and resolve issues across our primarily macOS device fleet, with additional support for Windows endpoints and other devices as-needed.\n\n - Administer core IT platforms including identity providers, productivity suites, MDM, endpoint security tooling, networking, and enterprise SaaS applications.\n\n - Own and improve onboarding, offboarding, role changes, device provisioning, and application access workflows.\n\n - Build and manage secure, high-performing Wi-Fi and IT access systems for our San Francisco & Seoul offices and future office locations\n\n - Build automation for provisioning, deprovisioning, access management, inventory, and other high-volume IT processes.\n\n - Use scripting, APIs, and automation platforms such as Python, Bash, and Okta Workflows to eliminate repetitive tasks.\n\n - Manage identity and access across platforms such as Okta, Google Workspace, GitHub, AWS, and enterprise SaaS applications.\n\n - Support office moves and reconfigurations, including coordinating logistics and ensuring minimal disruption to employees.\n\n - Support endpoint configuration, compliance, patching, and lifecycle management through modern MDM platforms.\n\n - Help evaluate, deploy, govern, and troubleshoot the AI development and productivity tools used across the company.\n\n - Support compliance on-going security and compliance audits; and maintain required technical IT controls and evidence across frameworks such as SOC 2, CMMC/NIST 800-171, GDPR, and ISO 27001.\n\n - Partner with Security, People Operations, and Legal & Compliance on access governance, endpoint security, IT controls, and other compliance initiatives.\n\n - Identify recurring support patterns and address them through automation, better tooling, documentation, or systemic fixes.\n\n - Support office technology and networking, including conference rooms, AV systems, wireless networks, switches, and related infrastructure.\n\n - Manage global IT asset lifecycle processes including procurement, inventory, deployment, recovery, and replacement.\n\n - Write and maintain internal IT documentation, runbooks, troubleshooting guides, and knowledge base content.\n\n - Drive technical escalations that require coordination across internal teams or vendors.\n\n - Participate in an on-call or escalation rotation as needed for business-critical issues outside normal US business hours.\n\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 4+ years of experience in IT engineering, systems administration, corporate IT, endpoint engineering, or technical support.\n\n - Experience in a startup, high-growth technology company, or similarly fast-moving environment, supporting a distributed workforce across multiple countries and/or time zones.\n\n - Strong, methodical troubleshooting skills across endpoints, applications, identity systems, and networks.\n\n - Significant hands-on experience supporting macOS, along with working knowledge of Windows.\n\n - Experience administering modern identity platforms such as Okta, Google Workspace, or Microsoft Entra ID.\n\n - Hands-on experience with device management configuration profiles, tooling, and MDM platforms such as Kandji, Jamf, or Microsoft Intune.\n\n - Experience implementing modern IAM protocols and industry standards such as SSO, SAML/OIDC/OAuth 2.0, least-privilege principles, and common access control models such as RBAC and ABAC.\n\n - Solid networking fundamentals, including TCP/IP, DNS, DHCP, Wi-Fi, VPN/ZTNA, routing, and switching.\n\n - Experience using Python, Bash, PowerShell, Go, APIs, or workflow automation to streamline operational tasks.\n\n - Hands-on experience building and maintaining the technical compliance controls behind frameworks such as SOC 2, ISO 27001, NIST 800-171/CMMC, PCI DSS, or GDPR\n\n - Strong communication skills and the ability to work effectively with users across a range of technical backgrounds.\n\n - A strong sense of urgency, ownership, and discipline to solve root causes rather than repeatedly treating symptoms.\n\n - An automation-first mindset and the ability to manage multiple competing workstreams and priorities.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Have hands-on experience with modern zero-trust, device trust, conditional access, or EDR security tooling such as CrowdStrike Falcon.\n\n - Have experience with modern zero-trust and secure access platforms such as Cloudflare Zero Trust, Zscaler, or similar.\n\n - Have experience supporting cloud infrastructure and managing identity and access management (IAM) across platforms such as AWS, GCP, or Azure.\n\n - Have supported engineering-heavy organizations using developer tooling, cloud infrastructure, and AI-assisted development platforms.\n\n - Have experience deploying or governing enterprise AI tools, LLM platforms, or AI coding assistants.\n\n - Have built integrations between HRIS, identity providers, MDM, ticketing systems, and SaaS applications.\n\n - Have contributed to major IT initiatives such as identity migrations, MDM deployments, SaaS rollouts, office build outs, or office network redesigns.\n\n - Hold relevant IT, networking, or system administrator certifications (e.g. CompTIA A+/Network+, Google Workspace Administrator, Okta Certified Administrator, Apple certifications)\n\n\n\n\nBENEFITS AND PERKS\n\n๐ค An open and inclusive culture and work environment\n\n๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology\n\n๐ฅ Full health, dental, and vision benefits\n\n๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years\n\n๐ช Monthly wellness stipend\n\n๐ Annual Learning & Development stipend to invest in your growth\n\n๐ผ Global offices in San Francisco and Seoul, and coworking office memberships for remote team members\n\n๐ VISA support where applicable\n\n๐ Transportation stipend (SF & NY onsite only)\n\n๐ฒ Daily meal support (SF & NY onsite only)\n\n\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"4ef9546d-6eb9-48a7-92df-f25763713e51","title":"Senior Infrastructure Engineer","department":"Tech","team":"Engineering ","employmentType":"FullTime","location":"Seoul, South Korea","secondaryLocations":[],"publishedAt":"2026-09-28T08:12:26.520+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"South Korea","addressLocality":"Seoul"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/4ef9546d-6eb9-48a7-92df-f25763713e51","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/4ef9546d-6eb9-48a7-92df-f25763713e51/application","descriptionHtml":"์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.
NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.
ํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.
์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.
ํธ์ฐ๋ธ๋ฉ์ค์ ์ธํ๋ผ ์์ง๋์ด๋ AI SaaS ํ๋ซํผ์ ์์ ์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ๊ฒ ์ด์ํ ์ ์๋๋ก ํต์ฌ ์ธํ๋ผ๋ฅผ ์ค๊ณํ๊ณ ๊ตฌ์ถํฉ๋๋ค. ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค ํ๊ฒฝ์์์ ์์คํ ์ํคํ ์ฒ๋ฅผ ๋ค๋ฃจ๋ฉฐ, ์์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ๋ท๋ฐ์นจํ๋ ๊ฒฌ๊ณ ํ ์ธํ๋ผ๋ฅผ ๋ง๋ค์ด ๋๊ฐ๋๋ค. ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์คํํธ์ ํ๊ฒฝ ์์์ ์ฑ๋ฅ, ๋ณด์, ์ ์ฐ์ฑ์ ์ต์ ํํ๋ฉฐ, ์ฌ๋ด ์ฌ๋ฌ ํ๊ณผ ๊ธด๋ฐํ ํ์ ํ๊ฒ ๋ฉ๋๋ค.
๊ธ๋ก๋ฒ ๊ธฐ์ ๊ณ ๊ฐ์ ์ํ ๋ฉํฐํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์
Terraform์ ํตํ ์๋ํ์ ํ์ฅ์ฑ ๋์ CI/CD ํ์ดํ๋ผ์ธ ๊ฐ๋ฐ
AWS, GCP, Azure ๋ฑ ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค๋ฅผ ์์ฐ๋ฅด๋ ์ ์ฐํ ์ธํ๋ผ ๊ตฌ์ถ
๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋งยท๋ณด์ ์ฒด๊ณ๋ฅผ ํตํด ์์ ํ๋ฉด์๋ ํจ์จ์ ์ธ ํด๋ผ์ฐ๋ ์ธํ๋ผ ์ต์ ํ
์๋ก์ด ์์ AI ๋ชจ๋ธ๊ณผ ์๋น์ค๋ฅผ ๊ฐ์ฅ ๋น ๋ฅด๊ฒ ์ง์ํ๊ธฐ ์ํ ํ์ฅ ๊ฐ๋ฅํ ์ํคํ ์ฒ ์ค๊ณ
PM, ์์ง๋์ด, ๋ฆฌ์์น์ ํ์ ํ์ฌ AI ์ ํ์ ํ์ค๋ก ๊ตฌํ
AWS, GCP, Azure ๋ฑ ํด๋ผ์ฐ๋ ํ๊ฒฝ์์ ์ธํ๋ผ ๊ตฌ์ถ ๋ฐ ์ด์ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ
Terraform, Ansible ๋ฑ IaC(Infrastructure as Code) ๋๊ตฌ๋ฅผ ํ์ฉํ ์๋ํ ๋ฐ ์ํคํ ์ฒ ์ค๊ณ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Kubernetes, ์ปจํ ์ด๋ ๊ธฐ๋ฐ ์ํฌ๋ก๋ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
Python, Go, TypeScript ๋ฑ ์ธ์ด๋ฅผ ํ์ฉํ ์คํฌ๋ฆฝํ ๋ฐ ์๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ
CI/CD ํ์ดํ๋ผ์ธ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ธํ๋ผ ์์ง๋์ด๋ก์ 7๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ
์ํฐํ๋ผ์ด์ฆ SaaS ํ๊ฒฝ์์ ๋ฉํฐ ํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๋ณด์ยท์ปดํ๋ผ์ด์ธ์ค ํ์ค์ ๋ง์ถ ์ธํ๋ผ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ๊ฐ์ฌ ๋์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋ง ๋ฐ ๋ก๊น ์์คํ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์ฑ๋ฅ ์ต์ ํ ๋ฐ ๋น์ฉ ํจ์จํ๋ฅผ ๋์์ ๊ณ ๋ คํ ์ธํ๋ผ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ
์์ด ์ปค๋ฎค๋์ผ์ด์ ์ด ๊ฐ๋ฅํ์ ๋ถ
๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์
์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค
Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น?
\"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ
์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข
ํฉ๊ฒฉ
*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.
Growth & Tools
๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team
์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด
์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด
Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์
๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์
์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์
์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์
Meal & Snack
์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต
์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)
์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต
Wellness & Family
์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต
๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)
๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์
์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์
ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ
๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.
์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\n์์์ ์ ์ธ๊ณ ๋ฐ์ดํฐ์ 90%๋ฅผ ์ฐจ์งํ์ง๋ง, ๊ทธ ๋๋ถ๋ถ์ ์์ง ๊ธฐ๊ณ๊ฐ ์ดํดํ ์ ์๋ ์์ญ์ ๋จธ๋ฌผ๋ฌ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค(TwelveLabs)๋ ์ด ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ธฐ๊ณ๊ฐ ์์์ ์ดํดํ ์ ์๋๋ก ํ๋ AI ์ธํ๋ผ๋ฅผ ๊ตฌ์ถํฉ๋๋ค. ์ฌ๋๋ณด๋ค ๋ ์ ๊ตํ๊ณ ๊น์ด ์๊ฒ ์์์ ์ดํดํ๋ AI ๋ชจ๋ธ์ ํตํด ์์ ์ ์ยท์ฒญ๊ฐ ์ ๋ณด๋ฅผ ์ข ํฉ ๋ถ์ํ์ฌ ๋ฏธ๋์ดยท์ํฐํ ์ธ๋จผํธ, ์คํฌ์ธ , ๋ณด์, ๊ณต๊ณต ๋ถ์ผ ์ ๋ฐ์ ์ํฌํ๋ก์ฐ์ ์ ์ฉํ๊ณ ์์ต๋๋ค.\n\nNEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, ๋ค์ด๋ฒ๋ฒค์ฒ์ค, ํ๊ตญํฌ์ํํธ๋์ค, Quadrille Capital, Red Bull Ventures ๋ฑ ๊ธ๋ก๋ฒ ํฌ์์๋ค๋ก๋ถํฐ ๋์ 3์ฒ์ต์ ์ด์์ ํฌ์๋ฅผ ์ ์นํ์ต๋๋ค. ๋ํ Fei-Fei Li, Silvio Savarese, Alexandr Wang ๋ฑ ์ธ๊ณ์ ์ธ AI ๋ฆฌ๋๋ค์ด ์๋ฌธ์ง์ผ๋ก ํจ๊ปํ๊ณ ์์ต๋๋ค.\n\nํธ์ฐ๋ธ๋ฉ์ค๋ ์ํ๋์์ค์ฝ, ์์ธ, ๋ด์, ๋ฐ๋ ๋ค ๊ฐ์ ์คํผ์ค๋ฅผ ๊ฑฐ์ ์ผ๋ก ์ด์๋๋ ๊ธ๋ก๋ฒ ๊ธฐ์ ์ ๋๋ค. ํต์ฌ ์ฐ๊ตฌ๊ฐ๋ฐ์ ์์ธ์์ ์ด๋ฃจ์ด์ง๋ฉฐ, ์ ์ธ๊ณ ์คํผ์ค์ ๊ตฌ์ฑ์๋ค์ด ์ด๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ค์ํ ์ฐ์ ๊ณผ ์์ฅ์ ์์ ์ดํด ๊ธฐ์ ์ ์ ์ฉํด๊ฐ๊ณ ์์ต๋๋ค. ์ธ์์ ๋ณต์กํจ์ ์ดํดํ๋ ๊ธฐ์ ์ ๋ง๋๋ ๋งํผ, ์๋ก ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ณผ ๊ด์ ์ ๊ฐ์ง ์ฌ๋๋ค์ด ๋ชจ์ผ ๋ ๋ ๋์ ์ ํ์ ๋ง๋ค ์ ์๋ค๊ณ ๋ฏฟ์ต๋๋ค.\n\n์์ง ์ธ์์ ์๋ ๋ต์ ์ ์ํด๋ณด๊ณ ์ถ์ผ์ ๋ถ, ๋ด ์์ผ๋ก ์ง์ ๋ณํ๋ฅผ ๋ง๋ค์ด๋ด๊ณ ์ถ์ดํ์๋ ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ํธ์ฐ๋ธ๋ฉ์ค์์ ์ธ์์ ์ดํดํ๋ ๊ธฐ์ ์ ํจ๊ป ๋ง๋ค์ด๊ฐ์ธ์.\n\nย \n\n\nABOUT THE ROLE\n\nํธ์ฐ๋ธ๋ฉ์ค์ ์ธํ๋ผ ์์ง๋์ด๋ AI SaaS ํ๋ซํผ์ ์์ ์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ๊ฒ ์ด์ํ ์ ์๋๋ก ํต์ฌ ์ธํ๋ผ๋ฅผ ์ค๊ณํ๊ณ ๊ตฌ์ถํฉ๋๋ค. ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค ํ๊ฒฝ์์์ ์์คํ ์ํคํ ์ฒ๋ฅผ ๋ค๋ฃจ๋ฉฐ, ์์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธ์ ๋ท๋ฐ์นจํ๋ ๊ฒฌ๊ณ ํ ์ธํ๋ผ๋ฅผ ๋ง๋ค์ด ๋๊ฐ๋๋ค. ๋น ๋ฅด๊ฒ ๋ณํํ๋ ์คํํธ์ ํ๊ฒฝ ์์์ ์ฑ๋ฅ, ๋ณด์, ์ ์ฐ์ฑ์ ์ต์ ํํ๋ฉฐ, ์ฌ๋ด ์ฌ๋ฌ ํ๊ณผ ๊ธด๋ฐํ ํ์ ํ๊ฒ ๋ฉ๋๋ค.\n\nย \n\n\nIN THIS ROLE, YOU WILL\n\n - ๊ธ๋ก๋ฒ ๊ธฐ์ ๊ณ ๊ฐ์ ์ํ ๋ฉํฐํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์\n\n - Terraform์ ํตํ ์๋ํ์ ํ์ฅ์ฑ ๋์ CI/CD ํ์ดํ๋ผ์ธ ๊ฐ๋ฐ\n\n - AWS, GCP, Azure ๋ฑ ๋ค์ํ ํด๋ผ์ฐ๋ ํ๊ฒฝ๊ณผ ์จํ๋ ๋ฏธ์ค๋ฅผ ์์ฐ๋ฅด๋ ์ ์ฐํ ์ธํ๋ผ ๊ตฌ์ถ\n\n - ๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋งยท๋ณด์ ์ฒด๊ณ๋ฅผ ํตํด ์์ ํ๋ฉด์๋ ํจ์จ์ ์ธ ํด๋ผ์ฐ๋ ์ธํ๋ผ ์ต์ ํ\n\n - ์๋ก์ด ์์ AI ๋ชจ๋ธ๊ณผ ์๋น์ค๋ฅผ ๊ฐ์ฅ ๋น ๋ฅด๊ฒ ์ง์ํ๊ธฐ ์ํ ํ์ฅ ๊ฐ๋ฅํ ์ํคํ ์ฒ ์ค๊ณ\n\n - PM, ์์ง๋์ด, ๋ฆฌ์์น์ ํ์ ํ์ฌ AI ์ ํ์ ํ์ค๋ก ๊ตฌํ\n\nย \n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - AWS, GCP, Azure ๋ฑ ํด๋ผ์ฐ๋ ํ๊ฒฝ์์ ์ธํ๋ผ ๊ตฌ์ถ ๋ฐ ์ด์ ๊ฒฝํ์ ๋ณด์ ํ์ ๋ถ\n\n - Terraform, Ansible ๋ฑ IaC(Infrastructure as Code) ๋๊ตฌ๋ฅผ ํ์ฉํ ์๋ํ ๋ฐ ์ํคํ ์ฒ ์ค๊ณ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Kubernetes, ์ปจํ ์ด๋ ๊ธฐ๋ฐ ์ํฌ๋ก๋ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - Python, Go, TypeScript ๋ฑ ์ธ์ด๋ฅผ ํ์ฉํ ์คํฌ๋ฆฝํ ๋ฐ ์๋ํ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - CI/CD ํ์ดํ๋ผ์ธ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\nย \n\n\nPREFERRED QUALIFICATIONS\n\n - ์ธํ๋ผ ์์ง๋์ด๋ก์ 7๋ ์ด์์ ๊ฒฝ๋ ฅ์ ๋ณด์ ํ์ ๋ถ\n\n - ์ํฐํ๋ผ์ด์ฆ SaaS ํ๊ฒฝ์์ ๋ฉํฐ ํ ๋ํธ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๋ณด์ยท์ปดํ๋ผ์ด์ธ์ค ํ์ค์ ๋ง์ถ ์ธํ๋ผ ์ํคํ ์ฒ ์ค๊ณ ๋ฐ ๊ฐ์ฌ ๋์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ๊ณ ๋ํ๋ ๋ชจ๋ํฐ๋ง ๋ฐ ๋ก๊น ์์คํ ๊ตฌ์ถ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์ฑ๋ฅ ์ต์ ํ ๋ฐ ๋น์ฉ ํจ์จํ๋ฅผ ๋์์ ๊ณ ๋ คํ ์ธํ๋ผ ์ด์ ๊ฒฝํ์ด ์์ผ์ ๋ถ\n\n - ์์ด ์ปค๋ฎค๋์ผ์ด์ ์ด ๊ฐ๋ฅํ์ ๋ถ\n\nย \n\n\nREAD MORE ABOUT THE TEAM\n\n - ๋ฐ์์๋ ์์ํ ํญํด์ฒ๋ผ ๋ณด์ด์ง๋ง, ์์ ํญํ ์์ด์์ https://www.twelvelabs.io/ko/blog/estherkim-eng-interview?category-4=korean\n\n - ์์ฒญ ์๋ง ์ธ๋ ๋ ์ดํธ ๋ฆฌ๋ฏธํฐ๋ก๋ ๋ถ์กฑํ์ต๋๋ค https://www.twelvelabs.io/ko/blog/rate-limiter-implementation?category-4=korean\n\n - Spec-Driven Test Automation: AI๋ ์ ๋ ์ ๋นํ ํ ์คํธ ์ฝ๋๋ฅผ ์์ฑํ ๊น? https://www.twelvelabs.io/ko/blog/spec-driven-test-automation?category-4=korean\n\n - \"GPU, ์ผ๋ง๋ ๋ค๋ค๋ดค๋์?\" ๋จ๋ค๊ณผ ๋ค๋ฅธ ์ธํ๋ผ ์์ง๋์ด๊ฐ ๋๋ ๋ฒ https://www.twelvelabs.io/ko/blog/glenjung-infra-interview?category-4=korean\n \n ย \n\n\nHIRING PROCESS\n\n์๋ฅ ๊ฒํ โ ๋ฆฌํฌ๋ฃจํฐ ์ธํฐ๋ทฐ โ Hiring Manager ์ธํฐ๋ทฐ โ ์ง๋ฌด ์ธํฐ๋ทฐ(1~2 Round) โ ํ์ด๋ ์ธํฐ๋ทฐ โ ๋ ํผ๋ฐ์ค ์ฒดํฌ ๋ฐ ์คํผ โ ์ต์ข ํฉ๊ฒฉ\n*์ ํ์ ์ฐจ๋ ์ง๋ฌด๋ณ๋ก ๋ค๋ฅด๊ฒ ์ด์๋๋ฉฐ, ์ผ์ ๋ฐ ์ํฉ์ ๋ฐ๋ผ ๋ณ๋๋ ์ ์์ต๋๋ค. ์ง๋ฌด ์ธํฐ๋ทฐ์๋ ๋๋ฉด ์ธํฐ๋ทฐ๊ฐ ํฌํจ๋ ์ ์๋ ์ ์ฐธ๊ณ ๋ฐ๋๋๋ค.\n\nย \n\n\nBENEFITS AND PERKS\n\n - Growth & Tools\n \n - ๊ธ๋ก๋ฒ B2B ๊ณ ๊ฐ๊ณผ ํจ๊ป ์ฑ์ฅํ๋ Global Team\n \n - ์์จ์ฑ๊ณผ ํ์ ์ ๋ชจ๋ ๊ฐ์ถ ํ์ด๋ธ๋ฆฌ๋ ๊ทผ๋ฌด\n \n - ์ต์ ๋งฅ๋ถ ๋ฐ 70๋ง ์ ์๋น ์ฌํ๊ทผ๋ฌด ์ฅ๋น ์ง์, 3๋ ์ฃผ๊ธฐ๋ก ์ต์ ์ฅ๋น ๊ต์ฒด\n \n - Tech ์ง๊ตฐ์ด AI๋ฅผ ํจ์จ์ ์ด๊ณ ์ฑ ์ ์๊ฒ ํ์ฉํ ์ ์๋๋ก LLM ํ ํฐ์ ๋ฌด์ ํ ์ง์\n \n - ๊ฐ์, ์ปจํผ๋ฐ์ค, ๋ฉค๋ฒ์ญ ๋ฑ์ ์ฌ์ฉ ๊ฐ๋ฅํ ์ฐ 140๋ง์ ์๋น ์๊ธฐ๊ฐ๋ฐ๋น ์ง์\n \n - ์์ด ๊ต์ก ํ๋ก๊ทธ๋จ ๋ฐ ๊ธ๋ก๋ฒ ๋ฒ๋ ํ๋ก๊ทธ๋จ ์ด์\n \n - ์ผ๊ฐ ๋ฐ ์ฃผ๋ง ์ถํด๊ทผ ํ์๋น ์ง์\n\n - Meal & Snack\n \n - ์๋นยท๊ตํต๋น ๋ฑ ์์ ๋กญ๊ฒ ์ฌ์ฉํ ์ ์๋ ์ฐ 720๋ง์ ์๋น ๋ฒ์ธ์นด๋ ์ ๊ณต\n \n - ์ฌ๋ฌด์ค ๋ด ์ค๋ต๋ฐ ์ด์ (๊ฐ์, ์ปคํผ, ์ ์ฒ ๊ณผ์ผ ๋ฑ)\n \n - ์ฌ๋ฌด์ค ๊ทผ๋ฌด ์, ์คํ 7์ ์ดํ ์ ๋ ์๋ ์ ๊ณต\n\n - Wellness & Family\n \n - ์ฐ 1ํ ๋ณธ์ธ ๋ฐ ๊ฐ์กฑ 1์ธ์ ๊ฑด๊ฐ๊ฒ์ง ์ ๊ณต\n \n - ๋จ์ฒด๋ณดํ ๊ฐ์ (์ํด๋ณดํ/์น์๋ณดํ/๊ฐ์กฑ ์ํด๋ณดํ ์ค ํ 1)\n \n - ๋ ๊ฐ ์๋ฐฉ์ ์ข ๋น ์ง์\n \n - ์ฐ๋ง 2์ฃผ๊ฐ ์ ๊ธ Holiday Break ์ด์\n\nย \n\n\nADDITIONAL NOTES\n\n - ํ๊ตญ ์ ์ง๊ตฐ ๊ณตํต ์๊ฒฉ์๊ฑด: ํด์ธ ์ฌํ์ ๊ฒฐ๊ฒฉ ์ฌ์ ๊ฐ ์๋ ๋ถ\n\n - ๋ชจ๋ ์ ์ฌ์์๊ฒ 3๊ฐ์์ ์์ต๊ธฐ๊ฐ์ด ์ ์ฉ๋ฉ๋๋ค. ํด๋น ๊ธฐ๊ฐ ๋์ ๊ธ์ฌ๋ 100% ์ง๊ธ๋ฉ๋๋ค.\n\n - ์ฑ์ฉ ๊ณผ์ ์์ ์ ์ถํ ์๋ฅ์ ํ์ ์ฌ์ค์ด ์๊ฑฐ๋ ๋ถ์ ํ์๊ฐ ํ์ธ๋ ๊ฒฝ์ฐ, ํฉ๊ฒฉ์ด ์ทจ์๋๊ฑฐ๋ ํฅํ ์ฑ์ฉ์ด ์ ํ๋ ์ ์์ต๋๋ค.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"9f3fe5ea-5b41-4cb0-b260-32b237c6f139","title":"Senior Staff Product Manager, Platform Integrations & Partnerships","department":"Product & Design","team":"Product Management","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote US- CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Remote US- OR","address":{"postalAddress":{"addressRegion":"Oregon ","addressCountry":"United States"}}},{"location":"Remote US- WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States"}}},{"location":"Remote US- AZ","address":{"postalAddress":{"addressRegion":"Arizona","addressCountry":"United States"}}}],"publishedAt":"2026-10-01T18:56:48.326+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/9f3fe5ea-5b41-4cb0-b260-32b237c6f139","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/9f3fe5ea-5b41-4cb0-b260-32b237c6f139/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
Video lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business.
The Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.
In this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.
The work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.
This is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.
The Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.
We manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.
We work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.
Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms.
Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations.
Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution.
Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute.
Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness.
Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans.
Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own.
Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped.
Represent TwelveLabs in partner-facing technical and business conversations, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints.
7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure.
Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning.
Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations.
A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services.
Clear and concise written communication across technical specifications, partner briefs, and roadmap documents.
Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives.
A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature.
A bachelor's degree or equivalent practical experience.
Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.
Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.
Experience operating in a startup or high-growth environment with fast-shifting priorities.
Background in media, video, or content technology.
๐ค An open and inclusive culture and work environment
๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology
๐ฅ Full health, dental, and vision benefits
๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
๐ช Monthly wellness stipend
๐ Annual Learning & Development stipend to invest in your growth
๐ VISA support where applicable
๐ Transportation stipend (SF & NY onsite only)
๐ฒ Daily meal support (SF & NY onsite only)
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\n\nWe 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.\n\n\nWe 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!\n\n\n\n\nABOUT THE ROLE\n\nVideo lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business.\n\nThe Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.\n\nIn this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.\n\nThe work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.\n\nThis is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.\n\n\n\n\nABOUT THE TEAM\n\nThe Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.\n\nWe manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.\n\nWe work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\n - Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms.\n\n - Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations.\n\n - Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution.\n\n - Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute.\n\n - Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness.\n\n - Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans.\n\n - Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own.\n\n - Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped.\n\n - Represent TwelveLabs in partner-facing technical and business conversations, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints.\n\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\n - 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure.\n\n - Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning.\n\n - Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations.\n\n - A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services.\n\n - Clear and concise written communication across technical specifications, partner briefs, and roadmap documents.\n\n - Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives.\n\n - A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature.\n\n - A bachelor's degree or equivalent practical experience.\n\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.\n\n - Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.\n\n - Experience operating in a startup or high-growth environment with fast-shifting priorities.\n\n - Background in media, video, or content technology.\n\n\n\n\nBENEFITS AND PERKS\n\n๐ค An open and inclusive culture and work environment\n\n๐ Work closely with a collaborative, mission-driven team on cutting-edge AI technology\n\n๐ฅ Full health, dental, and vision benefits\n\n๐ด Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years\n\n๐ช Monthly wellness stipend\n\n๐ Annual Learning & Development stipend to invest in your growth\n\n๐ VISA support where applicable\n\n๐ Transportation stipend (SF & NY onsite only)\n\n๐ฒ Daily meal support (SF & NY onsite only)\n\n\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"},{"id":"5942806c-c3b8-48c7-b18f-7cc548cf177e","title":"Staff Solutions Architect","department":"Go-to-Market (GTM)","team":"Field Engineering","employmentType":"FullTime","location":"United Kingdom","secondaryLocations":[],"publishedAt":"2026-10-14T21:23:10.250+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/twelve-labs/5942806c-c3b8-48c7-b18f-7cc548cf177e","applyUrl":"https://jobs.ashbyhq.com/twelve-labs/5942806c-c3b8-48c7-b18f-7cc548cf177e/application","descriptionHtml":"Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ 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!
We're hiring a Solutions Architect to help our strategic customers unlock the full potential of video AI. Acting as the dedicated technical resource for key accounts, you'll drive solution design, implementation guidance, and the co-development of innovative applications that showcase the capabilities of our multimodal foundation models.
You'll provide expert technical guidance while collaborating with Sales, Product, Partnerships and Engineering teams.
This is a highly self-directed and creative role where you'll need to thrive in an unstructured, rapidly expanding and evolving environment.
Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
Deliver an exceptional customer experience by providing technical expertise, scoping use cases, and supporting the implementation of video AI applications with technical stakeholders at startups and enterprises.
Own technical relationships with strategic customers, ensuring successful integrations, resolving complex technical challenges, and driving adoption across their organizations.
Guide customers on best practices for leveraging TwelveLabs APIs to create secure, scalable, and differentiated video understanding experiences.
Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
Create and maintain documentation, implementation guides, and FAQs for common customer requirements and technical challenges.
Gather customer feedback and represent the voice of developers and enterprises to internal teams, helping shape product roadmaps and future capabilities.
Have 5+ years of experience in a technical, customer-facing role such as Solutions Architect, Technical Account Manager, or Implementation Engineer.
Have experience working with hyperscalers (AWS preferred, with hands-on experience supporting customers building on Amazon Bedrock; Azure, GCP, or other cloud providers also welcome).
Demonstrate a strong understanding of and experience working with LLMs, multimodal AI, REST APIs, Python, JavaScript, and modern application development, with a deep understanding of video workflows and video workloads.
Have experience driving customer implementations from kickoff through production launch, with a track record of building trusted technical relationships.
Are an exceptional communicator who can translate complex technical concepts to business stakeholders and debug integration issues with engineering teams.
Operate with high horsepower, manage multiple projects simultaneously, and thrive in a fast-changing environment with evolving priorities.
Bring a collaborative, humble attitude with an eagerness to help customers and internal teams succeed.
Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We welcome applicants from all walks of life and are committed to equal-opportunity employment. We cherish and celebrate diversity not just because it is the right thing to do, but because it makes our company much stronger.
Pension (in line with company auto-enrollment obligations)
Private medical insurance
PTO - 25 days with 8 holidays (You may carry forward up to [five] daysโ accrued but untaken holiday from one holiday year to the following holiday year, but such carried over holiday must be taken by [31 March] of that following holiday year or it will be lost.)
Sick Days - 5
We are reviewing our UK benefits offering. We intend to introduce further benefits, such as income protection and life insurance, at some point in the future, as we grow and expand in the UK.
If someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io
","descriptionPlain":"WHO WE ARE\n\nVideo is 90% of the world's data. Most of it is invisible to machines.\nTwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do โ across sight, sound, and motion โ and power production-scale AI workloads across media, entertainment, sports, security, and government.\n\n\nWe 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.\n\n\nWe 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!\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring a Solutions Architect to help our strategic customers unlock the full potential of video AI. Acting as the dedicated technical resource for key accounts, you'll drive solution design, implementation guidance, and the co-development of innovative applications that showcase the capabilities of our multimodal foundation models.\n\nYou'll provide expert technical guidance while collaborating with Sales, Product, Partnerships and Engineering teams.\n\nThis is a highly self-directed and creative role where you'll need to thrive in an unstructured, rapidly expanding and evolving environment.\n\nCandidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.\n\n\n\n\nIN THIS ROLE, YOU WILL\n\nDeliver an exceptional customer experience by providing technical expertise, scoping use cases, and supporting the implementation of video AI applications with technical stakeholders at startups and enterprises.\n\nOwn technical relationships with strategic customers, ensuring successful integrations, resolving complex technical challenges, and driving adoption across their organizations.\n\nGuide customers on best practices for leveraging TwelveLabs APIs to create secure, scalable, and differentiated video understanding experiences.\n\nServe as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.\n\nCreate and maintain documentation, implementation guides, and FAQs for common customer requirements and technical challenges.\n\nGather customer feedback and represent the voice of developers and enterprises to internal teams, helping shape product roadmaps and future capabilities.\n\n\n\n\n\nYOU MAY BE A GOOD FIT IF YOU HAVE\n\nHave 5+ years of experience in a technical, customer-facing role such as Solutions Architect, Technical Account Manager, or Implementation Engineer.\n\nHave experience working with hyperscalers (AWS preferred, with hands-on experience supporting customers building on Amazon Bedrock; Azure, GCP, or other cloud providers also welcome).\n\nDemonstrate a strong understanding of and experience working with LLMs, multimodal AI, REST APIs, Python, JavaScript, and modern application development, with a deep understanding of video workflows and video workloads.\n\nHave experience driving customer implementations from kickoff through production launch, with a track record of building trusted technical relationships.\n\nAre an exceptional communicator who can translate complex technical concepts to business stakeholders and debug integration issues with engineering teams.\n\nOperate with high horsepower, manage multiple projects simultaneously, and thrive in a fast-changing environment with evolving priorities.\n\nBring a collaborative, humble attitude with an eagerness to help customers and internal teams succeed.\n\nEven if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.\n\nWe welcome applicants from all walks of life and are committed to equal-opportunity employment. We cherish and celebrate diversity not just because it is the right thing to do, but because it makes our company much stronger.\n\n\n\n\nBENEFITS AND PERKS\n\n - Pension (in line with company auto-enrollment obligations)\n\n - Private medical insurance\n\n - PTO - 25 days with 8 holidays (You may carry forward up to [five] daysโ accrued but untaken holiday from one holiday year to the following holiday year, but such carried over holiday must be taken by [31 March] of that following holiday year or it will be lost.)\n\n - Sick Days - 5\n\n - We are reviewing our UK benefits offering. We intend to introduce further benefits, such as income protection and life insurance, at some point in the future, as we grow and expand in the UK.\n\nIf someone contacted you about this role and youโd like to verify theyโre a member of our team, please email careers@twelvelabs.io"}],"apiVersion":"1"}