Legal Operations & Compliance Lead
Position Summary & Responsibilities
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 Role
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.
In this role, you will
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
Key Role Competencies & Evaluation Highlights
State-of-the-art multimodal machine learning research capability, high-performance video understanding, and efficient model scaling.
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