Who We Are
At TwelveLabs were building multimodal foundation models that understand video the way humans do. Our models lead the field in video language modeling enabling entirely new ways to search summarize and interact with video content and redefining whats possible in AI.
With $107 million raised from world-class investors like NVIDIAs NVentures NEA Radical Ventures Index Ventures and AI luminaries such as Fei-Fei Li and Alexandr Wang were rapidly expanding a global team based in San Francisco and Seoul. Together were unlocking the future of video native AI.
We believe diverse experiences drive breakthrough ideas. We value individuals who challenge convention and are eager to shape an entirely new category of intelligence.
About the Role:
Were looking for a Product Manager to own our video search and embedding systemsthe core retrieval layer powering everything from semantic search and RAG to grounding video agents.
Youll define the roadmap and lead end to end product execution across our embedding models reranking systems and vector infrastructure. Youll work at the intersection of research and platform turning state of the art ML into powerful tools for developers and intuitive experiences in our Playground. Your work will directly impact how users query reason over and interact with massive multimodal datasets.
This is a strategic and highly technical role for someone who thrives on shaping new product categories and driving real world application of advanced AI.
You will:
Define and lead the strategy for search and embeddings shaping how users retrieve and ground information from large scale multimodal video corpora
Drive execution across research infra and product teams owning the lifecycle from model design through system integration and user impact
Engage deeply with technical users such as ML engineers search architects and infra teams to inform product direction and validate performance against production needs
Establish rigorous evaluation standards for search quality latency cost and reranking performance and partner with ML to set strong goals and meet them
Translate model innovations into product leverage crafting developer friendly APIs Playground features and workflows that showcase our models full potential
You may be a good fit if you have:
Bring 5 years of product management experience including at least 1 years of owning search retrieval RAG or embeddings in ML driven systems
Have strong technical fluency and can read ML papers understand embedding architectures and collaborate easily with researchers and platform engineers
Have shipped infrastructure or developer facing products especially involving semantic search dense or sparse or hybrid retrieval vector databases or cross encoder ranking
Thrive in zero to one environments where category conventions dont exist and your product decisions shape the frontier
Balance vision with execution rigor: you zoom out to define what the future should look like and zoom in to ship quality performant features with urgency and care
Even if there are a few boxes that arent ticked through your prior experience we still encourage you to apply! If you are a 0-1 achiever a ferocious learner and a kind and fun team player who motivates others you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each persons journey. It is the differences in our cultural educational and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
Benefits and Perks
An open and inclusive culture and work environment.
Work closely with a collaborative mission-driven team on cutting-edge AI technology.
Full health dental and vision benefits.
Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
VISA support (such as H1B and OPT transfer for US employees).
Required Experience:
IC
Recognized by leading researchers as the most performant AI for video understanding; surpassing benchmarks from cloud majors and open-source models.