Product Scientist, Embeddings & Search

Twelve Labs is pioneering the development of cutting-edge multimodal foundation models that comprehend videos like humans. The Product Scientist will own the strategy and roadmap for Marengo and Search, collaborating with research teams and customers to enhance product execution and ensure quality in retrieval and embeddings.

Responsibilities:

• Set the product strategy and roadmap for Marengo and Search, deciding what gets built, what gets deferred, and what gets killed
• Partner with the Marengo research team on model quality: eval rubrics, training data investments, release readiness
• Partner with the GTM on launch planning, execution, and enablement including post launch monitoring
• Spend real time with customers and field teams understanding where retrieval fails in production and anticipating what they will need next
• Define the quality bar for retrieval and hold it across every release and every deployment shape
• Own how embeddings and search get deployed across managed SaaS, customer hosted environments, and AWS Bedrock
• Stay sharp on the competitive landscape