
Job Overview
Location
San Francisco
Job Type
Full-time
Category
Product Management
Date Posted
April 9, 2026
Full Job Description
đź“‹ Description
- • As the Product Partnerships Lead at Twelve Labs Inc., you will play a critical role in identifying, structuring, and accelerating strategic partnerships that sit at the intersection of product, technology, and business, directly contributing to the company’s mission of revolutionizing video understanding and multimodal AI.
- • You will partner with product, engineering, and leadership across organizations to define integration opportunities, co-innovation concepts, and joint solution architectures; structure and prioritize complex partnership programs including co-development initiatives and joint solutions; build and present partnership strategies to executives; support joint product launches with Marketing, Developer Relations, and Sales; and conduct research on market trends to influence TwelveLabs’ roadmap and partner strategy.
- • You will join a global, mission-driven team at Twelve Labs Inc., a pioneer in multimodal foundation models for video understanding, backed by $107 million in funding from top-tier investors including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, with headquarters in San Francisco and an influential APAC presence in Seoul.
- • In this role, you will develop expertise in strategic partnership development within high-growth AI ecosystems, influence product roadmap through partner insights, build executive-level communication and negotiation skills, and shape the go-to-market strategy for cutting-edge video-intelligence technologies while working at the forefront of multimodal AI innovation.
Skills & Technologies
About Twelve Labs Inc.
Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.
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