Twelve Labs jobs

This Staff Technical Product Manager role at Twelve Labs involves owning product strategy and roadmap for Marengo (a multimodal video embedding model) and Search product, spanning evaluation frameworks, model quality, API design, and deployment across multiple environments. The hybrid San Francisco position (2 days onsite) requires deep technical partnership with research teams in Seoul and availability until 8pm PT. Compensation is $200K–$215K annually.

Staff AI Application Engineer role at Twelve Labs (AI/multimodal models startup) building internal products for model evaluation, regression testing, and dataset discovery. Responsibilities include unifying internal data/evaluation platforms, managing petabyte-scale data with access controls, and supporting agentic content curation. Based in San Francisco with hybrid expectations; compensation $220k–$240k USD annually with backing from NVIDIA, NEA, and prominent AI investors.

Director of Partner Engineering at Twelve Labs, a AI/video multimodal foundation models company backed by $107M Series A funding from NVIDIA Ventures, NEA, and others. Responsibilities include building and leading a Partner Engineering team, developing global partnership strategy across cloud/AI ecosystems, guiding pre/post-sales technical integration efforts, and collaborating cross-functionally. Based remotely in US; salary $260-277k; requires strategic leadership and technical architecture expertise.

Twelabs, a deep tech AI startup with offices in San Francisco and Seoul, is hiring a Senior ML Data Engineer for its ML Data team. The role involves designing and developing data pipelines for multimodal (video, image, audio) data and fundamentally improving model performance through high-quality training data—you'll build data engines for LLM/VLM training, manage petabyte-scale datasets, and design systems that deliver real impact rather than just surface features. Required qualifications include 3+ years of backend or data engineering experience with Python proficiency, strong interest in ML/AI systems, and the ability to proactively solve data engineering challenges in a fast-moving startup. Preferred experience includes technical leadership, large-scale data pipeline infrastructure (Spark), multimodal dataset construction, high-performance video/image processing (FFmpeg), and an advanced degree in ML or related fields. Twelabs has raised over $110M from top-tier VCs (NVIDIA, NEA, Index Ventures), is the only Korean-developed AI model available through Amazon Bedrock, and has been named to CB Insights' 100 leading AI startups for four consecutive years. The company offers competitive benefits including hybrid work, up to ₩7.2M annual meal/transport allowance, unlimited LLM tokens for engineers, ₩1.4M annual professional development budget, and a two-week paid holiday break in December.