Job Opportunities API

WHO WE ARE 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 — across sight, sound, and motion — and power production-scale AI workloads across media, entertainment, sports, security, and government. We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter. Come build it with us! ABOUT THE TEAM This team owns Search at TwelveLabs end-to-end. From the core retrieval platform to the agentic search layer, we build the foundation for how both humans and AI agents discover and explore video. Full-stack search systems: TwelveLabs is defining the future of video search, powered by the world’s leading video embedding model (Marengo) and video-language model (Pegasus). We build the full search stack—from keyword and semantic retrieval to multimodal and agentic search—enabling fast, accurate, and scalable search experiences. Search for humans and agents: As AI agents increasingly become the primary consumers of search, we’re building production-grade search infrastructure and agentic search systems that scale to millions of hours of video while delivering reliable, high-quality results for both human users and autonomous agents. Global impact: Our team operates at the intersection of cutting-edge research and real-world products, turning breakthroughs into customer value on rapid iteration cycles and powering video understanding for customers around the globe. ABOUT THE ROLE As the Senior Engineering Manager, Search for our Cognition System, you will own and lead the team that builds search at TwelveLabs end to end, This includes both the core search & retrieval platform and the agentic search harness on top of it. Your goal is not to build a cool demo, but a production system that ingests millions of hours of video and serves queries at very high RPS. We're looking for a technical leader who understands: - The complexity and engineering rigor required to stand up a production-grade search system that scales to millions of hours across both ingestion and index creation. - The agentic search harness that reasons about user intent (human and agent) across millions of videos to surface what the user is truly asking for. You are also a people manager who leads both senior and junior engineers and scientists. You are not a day-to-day IC, but you read traces, review code, and debate architecture as a peer and you make sure the system works in production, not just in a demo. IN THIS ROLE, YOU WILL - Own the search system end-to-end (e.g., vector/ANN indexing, lexical retrieval, hybrid fusion, reranking, and temporal (segment-level) search), built on Marengo embeddings and Pegasus and scaled to millions of hours across both ingestion and index creation. - Design and build the agentic search harness that infers human and agent intent and orchestrates multi-turn, session-based (conversational), and parallel search sessions, including subagents that can be invoked by a primary agent. - Set and own the search-quality bar for both human- and agent-initiated search, and drive continuous improvement against them. - Own reliability and systems design for the search stack so the system stays dependable as both human and