Staff Technical Product Manager, Embedding & Search - Twelve Labs

Key Responsibilities

• Own the product roadmap for embedding and search features, translating complex multimodal AI research into scalable, user‑centric solutions.
• Collaborate with data scientists, ML engineers, and UX designers to define requirements, prioritize experiments, and iterate on model performance and user experience.
• Define success metrics, conduct A/B tests, and analyze usage data to continuously improve retrieval relevance and latency.
• Advocate for cross‑functional alignment, ensuring engineering, operations, and business teams are synchronized on goals and timelines.
• Communicate product vision and technical trade‑offs to stakeholders, including executives and external partners.

Requirements

• 5+ years of product management experience in AI or search technologies, with a proven track record of launching successful data‑driven products.
• Deep understanding of embedding techniques, vector search, and multimodal foundation models (e.g., video‑language models).
• Strong analytical skills, comfortable working with large datasets, performance metrics, and experimentation frameworks.
• Excellent communication and stakeholder management abilities, with experience leading cross‑functional teams.
• Passion for advancing AI capabilities and a curiosity for emerging research in multimodal learning.