Engineering Manager, Console

Twelve Labs seeks a Senior Recruiter to drive engineering hiring in Seoul, South Korea. This role shapes the company’s technical teams by managing every stage of the recruitment process for engineering positions. Key responsibilities Create and implement strategies to identify and attract talented engineers Work closely with hiring managers to understand hiring goals and role requirements Oversee the entire recruitment cycle, including sourcing, interviewing, and guiding candidates through to offer acceptance Ensure sourcing efforts support Twelve Labs’ broader growth objectives Location This position is based in Seoul, South Korea.

About UsAt Twelve Labs, we are on the hunt for talented individuals who are eager to shape the global standard for video understanding AI!We are developing cutting-edge AI models specifically tailored for video content, enabling advanced functionalities such as search, analysis, summarization, and insights generation from vast video datasets.Our technology is utilized by the largest sports leagues to swiftly and accurately identify highlights from extensive game footage, enhancing the personalized viewing experience. In South Korea, integrated control centers leverage our models to effectively analyze CCTV footage for rapid crisis response, while major global broadcasters and studios use our technology to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have raised over $110 million from renowned venture capital firms and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model is uniquely offered through Amazon Bedrock in South Korea, and we are committed to creating innovative products alongside exceptional colleagues while growing with our global clientele.At Twelve Labs, we operate based on core values that include:Honesty and introspection towards oneself and the team.Resilience and humility in the face of failure and feedback.A commitment to continuous learning and elevating team capabilities together.If you enjoy solving challenging problems and growing alongside your team, this is the opportunity for you at Twelve Labs!Team OverviewYou will join the team responsible for the research and development of Marengo, our multimodal embedding model. This innovative model integrates various modalities, including video, audio, and text, into a unified embedding space.The team tackles diverse research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We oversee the entire model development process, from building large-scale learning data pipelines to designing model architectures, optimizing distributed learning, and creating evaluation frameworks. With access to top-tier GPU resources such as the NVIDIA B300, we can rapidly conduct large-scale experiments.In an environment with a short gap between research and production, we closely collaborate with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of clients worldwide.Role OverviewAs the ML Research Engineering Manager on the Marengo team, you will lead and develop the research engineering group responsible for Twelve Labs' multimodal embedding models. You will own the technical roadmap for the team and support the growth of its engineers.This is a player-coach role where you will manage a team of ML research engineers focused on model architecture, training infrastructure, and data pipelines while remaining technically engaged enough to make sound architectural decisions and assess research directions. We seek someone who has experience building and deploying production ML systems and is eager to amplify their impact by empowering their team.

Join Our TeamWe are on the lookout for talented individuals who are eager to contribute to setting the global standard for video understanding AI! At twelve-labs, we are developing cutting-edge AI models that efficiently process vast amounts of video data, offering specialized search, analysis, summarization, and insight generation capabilities.Our models are utilized by the world’s largest sports leagues, enabling them to quickly and accurately select highlights from extensive game footage, providing a super-personalized viewing experience. In South Korea, integrated control centers leverage our technology to efficiently explore CCTV footage, responding swiftly to crisis situations. Major broadcasters and studios worldwide employ our models to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, twelve-labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have secured over $110 million in funding from renowned VCs and enterprises, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Notably, our AI models, developed in Korea, are the only ones available through Amazon Bedrock. We thrive on creating innovative products with exceptional colleagues and growing alongside our global clientele.At twelve-labs, we operate based on core values that include:A reflective and honest attitude towards oneself and the teamResilience and humility in the face of failure and feedbackA commitment to continuous learning to enhance the team’s capabilitiesIf you enjoy solving challenging problems and growing through the process, the opportunity is here at twelve-labs.About Our TeamOur Infrastructure Team believes that 'data determines the performance of AI models.' We build high-quality data pipelines for the training and evaluation of multimodal AI models end-to-end. We collect, filter, process, and label diverse multimodal data, collaborating with various teams to design training data that can uncover new model capabilities. Additionally, we create evaluation datasets that reflect actual user experiences and develop internal tools to streamline these processes continuously.Your RoleAs an Infrastructure Engineer at twelve-labs, you will design and build core infrastructure to ensure the stable and scalable operation of our AI SaaS platform. You will work with system architectures across various cloud and on-premise environments, constructing robust infrastructure that supports our video AI foundation models. In our rapidly evolving startup environment, you will optimize performance, security, and flexibility while closely collaborating with multiple internal teams.Key ResponsibilitiesDesign and operate multi-tenant architecture for global enterprise clientsDevelop automation and scalable CI/CD pipelines using TerraformBuild flexible infrastructure encompassing various cloud environments such as AWS, GCP, and Azure, as well as on-premisesOptimize secure and efficient cloud infrastructure through advanced monitoring and security systemsDesign scalable architecture to rapidly support new video AI models and servicesCollaborate with PMs, engineers, and researchers to bring AI products to fruitionIdeal CandidateExperience in building and operating infrastructure in cloud environments such as AWS, GCP, or AzureProficiency in using IaC tools like Terraform and Ansible for automation and architecture designFamiliarity with Kubernetes and container orchestration

Twelve Labs seeks a Sales Development Representative Intern based in Seoul. This internship centers on video intelligence, offering practical experience in lead generation and client engagement. Key responsibilities Identify and qualify new leads to build the sales pipeline Initiate contact with potential clients and begin conversations Assist the sales team in reaching their targets Who thrives in this role This internship fits those eager to learn and ready to take initiative in a sales context. Curiosity and an openness to growth will help interns gain the most from the experience.

Who We AreAt Twelve Labs, we are at the forefront of developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing how we engage with and analyze diverse forms of media.Securing over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with leading AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco and a strong presence in Seoul, we are committed to fostering global innovation.Our collaboration with NVIDIA and AWS equips us with cutting-edge chips, including B300s, allowing us to expand the horizons of video AI technology.We embrace the uniqueness of each individual's journey, believing that our diverse cultural, educational, and life experiences enhance our ability to challenge conventional thinking. We seek motivated individuals who are passionate about our mission and eager to make a significant impact as we advance technology to transform the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is pivotal to Twelve Labs' video understanding services, spearheading the development of Pegasus, our Video Analysis product. We focus on creating multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. Our emphasis is on delivering products with tangible real-world value, working within a goal-oriented, cross-functional team comprising both machine learning researchers and engineers.Our work addresses a wide array of challenges, including large-scale distributed training of multimodal LLMs from pre-training to reinforcement learning, precise temporal segmentation, and structured metadata extraction for practical applications. We also enhance temporal context length and refine data curation processes to align evaluation and performance improvements through enhanced training data.Our team has access to the latest advanced chips, such as NVIDIA B300s, which accelerates our transition from research to production at an unprecedented pace.

Who We AreAt Twelve Labs, we are at the forefront of innovation, developing state-of-the-art multimodal foundation models capable of understanding videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our ability to engage with and analyze diverse forms of media.With over $110 million in Seed and Series A funding, we are supported by elite venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside renowned AI leaders like Fei-Fei Li and Silvio Savarese. Our headquarters are in San Francisco, with a significant presence in Seoul, reinforcing our commitment to global innovation.We celebrate the individuality of each team member’s journey. Our diverse cultural, educational, and life experiences empower us to challenge the status quo continuously. We are searching for passionate individuals driven by our mission to make a difference as we advance technology to reshape the world. Join us in transforming video comprehension and multimodal AI.About The RoleWe are looking for a skilled Technical Program Manager (TPM) to enhance our dynamic team. The ideal candidate will act as a catalyst, effectively linking engineering, product, and business teams to achieve collective goals.In this role, you will manage cross-functional projects, simplifying technical complexities for stakeholders and ensuring that engineering teams are well-informed for execution. Your proficiency in planning, executing, and delivering intricate technical programs will be crucial in propelling our video understanding platform forward.Your Contributions Will Include:Project Management & Execution: Spearhead technical programs from concept to conclusion, harmonizing efforts across engineering, product, design, and business teams.Planning: Develop detailed program plans with defined milestones, dependencies, and resource allocation.Risk Management: Anticipate potential challenges, dependencies, and obstacles, implementing effective strategies to mitigate risks before they affect delivery.Strategy: Facilitate informed decision-making through data insights, intuition, and stakeholder collaboration.

Are you passionate about technology and talent acquisition? Join twelve-labs as a Technical Recruiter on a one-year contract basis. In this role, you will be responsible for sourcing, screening, and selecting top-tier technical candidates to help drive our innovative projects forward. Your expertise will be pivotal in matching the right talent with the right opportunities, ensuring our teams are equipped with the best skills and experiences.

Join Twelve Labs as a Senior Technical Recruiter for a one-year contract where you will play a pivotal role in attracting top-tier technical talent to our innovative team. Your expertise in sourcing, interviewing, and hiring will be crucial in fostering a collaborative and high-performing work environment.

Who We AreAt Twelve Labs, we are on a mission to redefine the global standards for video understanding AI! We are creating world-class AI models tailored for video data, providing specialized search, analysis, summarization, and insight generation capabilities.Our models are utilized by the largest sports leagues worldwide to swiftly and accurately highlight key moments in vast game footage, delivering an ultra-personalized viewing experience. In South Korea, our technology assists integrated command centers in efficiently navigating CCTV footage to respond to crises, while major global broadcasters and studios leverage our models for content creation aimed at billions of viewers.As a Deep Tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the world's top 100 AI startups by CB Insights for four consecutive years. We have secured over $110 million in investments from leading VCs and companies including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is exclusively offered through Amazon Bedrock. We thrive on building innovative products alongside exceptional colleagues and growing with clients worldwide.Our core values are foundational to our work:Honesty and reflection about ourselves and our teamsPerseverance and humility in the face of failure and feedbackA commitment to continuously elevate team capabilities through ongoing learningIf you enjoy tackling challenging problems and growing through the process, the opportunity awaits you at Twelve Labs!About the TeamThe ML Data Team at Twelve Labs believes that 'data determines the performance of AI models.' We construct high-quality data end-to-end necessary for training and evaluating multimodal AI models. Our team is responsible for collecting, filtering, processing, and labeling diverse multimodal data such as video, image, and audio. We collaborate with various teams to design training data that can unleash new model capabilities, while also developing evaluation datasets that reflect real user experiences. To perform all these processes efficiently, we develop and continuously improve internal tools.Through a meticulously designed data pipeline, the ML Data Team plays a crucial role in developing Twelve Labs' world-class video understanding models.About the RoleAs the Engineering Manager for the ML Data Team, you will be a pivotal leader in building and guiding a high-performing team, while also developing the large-scale data infrastructure necessary for AI model training. This position encompasses team operations, technical architecture design, engineering recruitment and mentoring, and enhancing project execution, all aimed at fostering a high-quality data ecosystem that supports Twelve Labs' products and research.In this Role, You WillTeam Building and Technical Culture Development Lead the ML data engineering team by defining and executing the team's mission and technical strategy. Establish and execute recruitment plans to attract top talent, while fostering a high-level engineering culture through code reviews and technical mentoring.Design and Operate Multimodal ML Data Engine Design and operate pipelines for collecting, refining, and labeling petabyte-scale video, image, and audio data for AI model training. Additionally, build an automated dataset generation system for VLM/LLM training and a high-precision preprocessing engine.Design and Operate Multimodal ML Data Infrastructure Create and manage scalable data infrastructure capable of reliably processing large-scale data.Establish and Execute Data Strategy Collaborate closely with PM, research, infrastructure, product, and other organizations to establish and prioritize a data strategy aligned with the company's vision.

About UsJoin us in setting a global standard for AI in video understanding!At Twelve Labs, we are developing state-of-the-art AI models specialized in video processing, enabling advanced search, analysis, summarization, and insight generation from vast amounts of video data.Our models are utilized by the world's largest sports leagues to swiftly and accurately highlight content from extensive match footage, delivering an ultra-personalized viewing experience. Additionally, integrated control centers in South Korea leverage our technology for efficient CCTV video exploration to respond to crises swiftly. Major broadcasters and studios worldwide harness our models to create content for billions of viewers.Twelve Labs, a deep tech startup with offices in San Francisco and Seoul, has been recognized as one of the world's top 100 AI startups by CB Insights for four consecutive years. We have secured over $110 million in investments from leading VCs and corporations such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is available through Amazon Bedrock. We thrive on collaboration with exceptional peers to create innovative products and grow alongside our global clientele.Our core values include:Honesty and reflection regarding ourselves and our team.A spirit of resilience and humility that doesn’t fear failure or feedback.A commitment to continuous learning to enhance team capabilities together.If you enjoy solving challenging problems and growing through collaboration, your opportunity awaits at Twelve Labs.About the TeamOur team focuses on multimodal representation learning and production serving. We integrate various modalities like video, audio, and text into a unified embedding space, ensuring stable serving to thousands of global customers.We conduct experiments on multimodal embedding models within a large-scale distributed learning environment, taking responsibility for the end-to-end process of transforming research findings into real-time inference systems. Leveraging top-tier GPU resources such as the NVIDIA B300, we minimize the transition cycle from research to production.In our rapid development cycles, we collaborate closely with Research, Product, and Infrastructure teams to create significant technical impacts, delivering research outcomes to customers globally within months.Role OverviewKey ResponsibilitiesDesign and optimize large-scale distributed learning pipelines for multimodal embedding models.Enhance the inference performance of embedding models in production environments (throughput, latency, cost-efficiency).Design and build vector search systems and embedding serving infrastructure.Improve and automate the ML pipeline covering model development, training, and serving to facilitate rapid transitions to production.Address applied research challenges such as data filtering and evaluation metric design to enhance model quality and user experience.Explore and experiment with AI-based development tools like Claude and Gemini to boost development productivity.Collaborate closely with Research, Product, and Infrastructure teams, taking ownership of the end-to-end process to deliver models to actual customers.Ideal Candidate ProfileResearch or development experience in computer vision, natural language processing, or multimodal learning.Proficiency in Python and PyTorch, with experience in model training within large-scale distributed environments.Experience with embedding models, vector search systems, and advanced ML techniques.

About UsJoin us at Twelve Labs as we set the global standard for video understanding AI! We are dedicated to transforming vast amounts of video data into exceptional AI solutions that specialize in search, analysis, summarization, and insight generation.Our advanced AI models are utilized by the world’s largest sports leagues to swiftly and accurately identify highlights, offering a highly personalized viewing experience. In South Korea, integrated control centers depend on our technology to navigate CCTV footage efficiently during emergency situations. Major broadcasters and studios worldwide leverage our models to create content for billions of viewers.Based in San Francisco and Seoul, Twelve Labs is a leading Deep Tech startup that has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. With over $110 million in investments from renowned VCs and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake, we are proud to be the only AI model developed in Korea that is serviced through Amazon Bedrock. We are committed to building exceptional products with outstanding colleagues and growing alongside our global clientele.At Twelve Labs, we thrive on core values such as:A mindset of honesty and reflection towards ourselves and our teamsPerseverance and humility in facing failures and feedbackA commitment to continuous learning to enhance team capabilitiesIf you enjoy tackling challenging problems and growing through the process, the opportunities at Twelve Labs await you.Team OverviewOur Quality Engineering team plays a pivotal role in ensuring the quality of Twelve Labs’ multimodal AI models and services through automated testing systems and sophisticated quality validation processes, contributing significantly to reliable and trustworthy product development.Role OverviewAs a Software Engineer focusing on Quality, you will be an essential engineer responsible for ensuring the reliability and quality of our AI systems. You will closely collaborate with the development team from the early stages, establishing testing strategies and building automated testing infrastructures.We utilize Python and TypeScript to develop our testing code, employing tools like Pytest, Jest, and Playwright to conduct automated tests across APIs, UIs, and SDKs. Additionally, we configure and operate the necessary infrastructure (AWS services such as EKS, Lambda, S3) for executing functional tests, as well as performance testing (using Locust) and model quality assessments.You will coordinate the testing scope in line with the development cycle, write test cases once the development scope is confirmed, perform tests, and share results, ensuring our products and models are delivered reliably to users.Key ResponsibilitiesDevelop and maintain automated testing for APIs, UIs, and SDKs using Pytest, Jest, and PlaywrightCollaborate closely with development teams to establish testing strategies, incorporating testing perspectives from the functional definition stageConfigure and manage testing infrastructure (EKS, S3, Lambda, etc.)Write and execute test cases, reporting on testing outcomesConduct load and response testing using performance testing tools (e.g., Locust)Ideal Candidate ProfileExperience in test automation using Python and TypeScriptProficiency with automated testing frameworks and tools (e.g., Pytest, Jest, Playwright)Familiarity with AWS services and infrastructure managementStrong problem-solving skills and collaboration abilities

Who We AreJoin us in setting global standards for video understanding AI! Twelve Labs is at the forefront of developing advanced AI models tailored for video analysis, search, summarization, and insights derived from vast video datasets.Our models are utilized by the largest sports leagues to swiftly and accurately highlight key moments in extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers use our technology to efficiently navigate CCTV footage in crisis situations, while major broadcasters and studios worldwide leverage our models for content creation aimed at billions of viewers.As a Deep Tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have successfully raised over $111 million from prestigious venture capital firms and corporations, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our unique AI model developed in Korea is exclusively available via Amazon Bedrock. We are committed to creating innovative products with outstanding colleagues and growing alongside our global clientele.Twelve Labs operates based on the following core values:A commitment to honesty and reflection about ourselves and our teamResilience and humility, embracing failure and feedbackA dedication to continuous learning and enhancing the team's capabilitiesIf you enjoy solving challenging problems and growing through the process, the opportunity is here at Twelve Labs.About the TeamThe Console team is responsible for creating a B2B SaaS platform that connects our proprietary AI models with customers. Currently, we offer our technology through API, SDK, and the web application called Playground, catering to a diverse range of clients from individual developers to large enterprises. Moving forward, we will establish a common foundation that provides a consistent data layer across all products, enabling them to operate seamlessly on our platform. Our team, based in San Francisco and Seoul, collaborates as one unit, leveraging diverse backgrounds to create remarkable products.Our team values autonomy and open-mindedness. Every member is encouraged to set and pursue their goals, fostering a culture of free discussion and suggestions for product improvement. Engineering collaborates closely with product managers from the design phase to ensure high-quality system architecture, with peer reviews enhancing the integrity of our code.About the RoleAs part of the Console team, the Staff Backend Engineer plays a crucial role in developing the backend systems that underpin our products, enabling users from individual developers to large enterprises to effectively utilize our video AI models through APIs, SDKs, and a Web Console. This position involves designing core systems for authentication, billing, organizational management, and a unified data layer that supports all products. Beyond merely implementing features, this role includes setting the technical direction for the team and spearheading solutions to complex challenges.You will work closely with product managers, frontend engineers, ML engineers, and various teams to design and implement systems that are both user-friendly and scalable.You may be a good fit if you haveOver 8 years of experience in backend engineeringExperience in a startup or fast-paced environment, with a proven ability to lead technical decisions and manage projects under uncertaintyDeep understanding of backend languages such as Go and Java/Kotlin, with experience designing and operating production-level systemsProficiency in system architecture design and scalability considerations

About UsAt Twelve Labs, we are at the forefront of pioneering advanced multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, granting us enhanced capabilities and transforming media interaction and analysis.With an impressive backing of over $110 million through Seed and Series A funding from esteemed venture capital entities such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, we are guided by influential AI leaders and founders, including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco and significant APAC presence in Seoul emphasize our dedication to global innovation.Our collaborations with NVIDIA and AWS grant us access to state-of-the-art chips, like the B300s, allowing us to expand the horizons of video AI.We celebrate the diversity of each individual’s journey, believing that the variances in our cultural, educational, and life experiences empower us to challenge conventional norms. We seek passionate individuals inspired by our mission to make a meaningful impact in the realm of technology. Join us in revolutionizing video understanding and multimodal AI.Team OverviewThe Pegasus team is integral to Twelve Labs’ video understanding initiatives, responsible for our flagship Video Analysis product. Our mission is to develop multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. We prioritize delivering products with tangible real-world impact and operate as a goal-driven, cross-functional team comprising both ML researchers and engineers.Our projects tackle a wide array of challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing temporal context lengths to several hours. We focus on data curation processes that enable aligned evaluation and performance improvements through enhanced training data.Our team is equipped with the world’s most advanced chips, including NVIDIA B300s, to expedite our research-to-production cycle, driving rapid advancements in video analysis systems.

Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers such as Fei-Fei Li and Silvio Savarese. While our headquarters is in San Francisco, our significant presence in Seoul highlights our dedication to global innovation.Our strategic partnerships with NVIDIA and AWS provide us with access to top-tier hardware, including the B300s, which empower our advancement in video AI capabilities.We embrace the unique journeys of every individual and believe that our diverse backgrounds drive innovation. We seek passionate individuals who resonate with our mission and are eager to make impactful contributions as we redefine technology and transform the world of video understanding and multimodal AI.About the Video Cognition System TeamOur team is dedicated to creating the first-ever video cognition system capable of processing extensive video libraries into a structured, queryable Video Memory & Cortex for vertical LLM agents.We are addressing fundamental questions surrounding machine cognition, focusing on perception, memory, reasoning, and attention. Our goal is to design innovative memory structures that exceed traditional context windows and build a reasoning cortex for comprehensive video analysis.Our research endeavors cover corpus-level reasoning, knowledge extraction, indexing architectures, and multi-video understanding, requiring a synergistic collaboration between research and engineering to create systems that are both scientifically rigorous and impactful.

Join Our Team! The Recruitment Team at ChannelTalk is a pivotal organization that shapes the growth trajectory of our company.As we approach Series D funding, our top priority is enhancing our talent density. We play a crucial role in identifying and connecting with top-tier talent necessary for ChannelTalk to ascend to the league of global SaaS giants like Notion, Slack, and Zoom.Our recruitment team collaborates closely with Hiring Managers across the organization to define the ideal candidate profiles and implement diverse strategies. We prioritize outbound recruitment, believing that persuading external top-tier talent is our most critical skill.We are firm believers that attracting exceptional colleagues is the strongest leverage for company growth. While we recognize that increasing talent density is a challenging mission, we invite you to apply if you are eager to achieve remarkable results together.

Who We AreAt Twelve Labs, we are at the forefront of innovation in the realm of multimodal foundation models, enabling machines to understand videos with human-like proficiency. Our advanced models set new benchmarks in video-language processing, enhancing our ability to interact with and analyze diverse media forms.With an impressive $107 million secured through Seed and Series A funding, we are supported by premier venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside esteemed AI leaders such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are in San Francisco, with a significant operational presence in Seoul, reflecting our dedication to fostering global innovation.We celebrate the unique perspectives of each team member, recognizing that diverse cultural, educational, and personal experiences drive our capacity to innovate. We seek passionate individuals who are excited by our mission and eager to influence the technological landscape as we redefine video understanding and multimodal AI.About the RoleIn the role of Engineering Manager for Product Engineering, you will play a pivotal role in connecting our cutting-edge model capabilities with real-world customer experiences. Leading our Korea-based product engineering team, you will set the technical vision, oversee the development of production-ready software, and cultivate a team that excels in both speed and quality.This is an active role, requiring hands-on engagement with the code, guiding architectural decisions, resolving complex technical challenges, and maintaining high standards for excellence. Additionally, you will take ownership of the product engineering process: transforming ambiguous objectives into actionable plans, collaborating with Product and Science teams, and ensuring the swift and accurate deployment of new model capabilities to our customers.At this critical stage, your decisions regarding the team, architecture, and product will significantly shape our future. If you thrive in creating the unprecedented, leading dedicated professionals, and navigating the intersection of AI and product development, this opportunity is for you.

Key Responsibilities:Conduct comprehensive intake meetings with hiring managers to clarify role specifications, providing insights and market data to guide decision-making.Work collaboratively with internal teams to craft and execute effective recruitment marketing and sourcing strategies.Assess candidate qualifications against job requirements, presenting a robust slate of candidates while nurturing talent pipelines.Maintain candidate engagement throughout the recruitment process by providing timely updates on their status.Collaborate with hiring managers to finalize offer details, utilizing market insights and compensation frameworks to inform recommendations.Guide and mentor fellow Recruiters and team members, fostering professional development.

About UsJoin us in setting global standards for AI in video understanding!At Twelve Labs, we create world-class AI models specialized in processing vast video datasets to provide advanced features such as search, analysis, summarization, and insights generation.Our models are utilized in the world's largest sports leagues to swiftly and accurately highlight key moments, enhancing the viewing experience. In domestic integrated control centers, our technology assists in efficiently navigating CCTV footage for rapid crisis response, while major broadcasters and studios globally rely on our models to produce content for billions of viewers.Twelve Labs is a Deep Tech startup with offices in San Francisco and Seoul, recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We've secured over $110 million in investments from leading VCs and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, developed in Korea. We are dedicated to creating exceptional products alongside outstanding colleagues and growing with our global clientele.Our core values include:A reflective and honest attitude towards oneself and the team.Perseverance and humility in the face of failure and feedback.A commitment to continuous learning and team empowerment.If you enjoy solving challenging problems and growing through the process, the opportunity awaits you at Twelve Labs.About the TeamYou will be part of the Marengo team, responsible for the research and development of our multimodal embedding models. We integrate various modalities such as video, audio, and text into a singular embedding space.Our work encompasses a variety of research topics, including contrastive learning, temporal video understanding, and multimodal representation learning. We manage the entire model development lifecycle, from constructing large-scale training data pipelines to designing model architectures, optimizing distributed training, and developing evaluation systems. With access to top-tier GPU resources like the NVIDIA B300, we efficiently conduct large-scale experiments.In a fast-paced environment with a short research-to-production gap, we collaborate closely with the Search, Product, and Infrastructure teams to continuously enhance the quality of models used by thousands of customers worldwide.About the RoleAs a Senior ML Research Engineer on the Marengo team, you will spearhead the research and development of Twelve Labs' multimodal embedding models, focusing on data strategy, training pipeline optimization, and model architecture experimentation and evaluation.This is a research-intensive engineering role lying at the intersection of multimodal representation learning, large-scale distributed training, and data engineering. We seek a proficient engineer-researcher capable of tackling well-defined research problems with moderate ambiguity, designing rigorous experiments, and delivering reproducible results ready for production deployment.

About UsJoin us in setting a global standard for video understanding AI.At Twelve Labs, we are creating world-class video-specialized AI models that efficiently process vast amounts of video data, offering advanced capabilities in video search, analysis, summarization, and insights generation.Our models are utilized by the largest sports leagues worldwide to swiftly and accurately curate highlights from extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers leverage our technology to efficiently navigate CCTV footage during crisis situations, while major broadcasters and studios globally utilize our models to create content for billions of viewers.As a deep tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the top 100 AI startups by CB Insights for four consecutive years. We have raised over $110 million from esteemed venture capital firms and companies including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is exclusively available through Amazon Bedrock. We are committed to building innovative products alongside exceptional colleagues and growing with customers worldwide.At Twelve Labs, we operate on core values that include:A commitment to honesty and reflection regarding ourselves and our teamResilience and humility in the face of failure and feedbackAn ongoing pursuit of learning to enhance team capabilitiesIf you enjoy solving challenging problems and growing through the process, the opportunity awaits you here at Twelve Labs.About the TeamOur ML Data Operation team oversees all aspects of video-language data collection, labeling, and quality assurance. This position entails defining dataset requirements in collaboration with the Research and Product teams, designing and building data pipelines, and coordinating with external vendor partners for large-scale execution.Additionally, automating repetitive partnership management and annotation quality assessment tasks is a key responsibility. Success in this role demands a strong commitment to collaboration and relationship-building with relevant departments.About the RoleIn this role, you will lead video-language data collection, labeling, and quality control, playing a pivotal role in the data pipeline that underpins machine learning model training.Project Management and Operations: Design and execute video-language data collection and labeling projects while automating repetitive processes to maintain a balance between efficiency and quality.External Partner Collaboration: Enhance project quality through seamless collaboration with vendors and outsourcing partners.Data Quality and Tooling Enhancement: Establish labeling guidelines, monitor data quality, and improve tools and infrastructure for a sustainable data operation system.Portfolio Monitoring: Manage resource allocation and schedules for all data streams within your product vertical based on real-time insights, adjusting directions flexibly as needed.Internal Collaboration: Work with engineering and AI model teams to align on priority data needs, design tools such as analysis reports and dashboards, and communicate project progress clearly.Ideal CandidateYou may be a suitable candidate if you possess:Over 5 years of experience in AI-centric data operationsProven experience in designing and executing large-scale data projects, including collection, labeling, and post-processingStrong analytical skills and the ability to manage complex and dynamic projects