Product Manager, Search and Embeddings

Role: Product Manager, Search and Embeddings

Own product direction and roadmap for search and retrieval quality—ensuring LLMs have the correct context for use cases like RAG and Agents.

What you’ll manage

• Embeddings (Embed-v4.0)
• Reranking (Rerank-v3.5)
• Compass (Cohere’s Search Solution)
• Evaluation of search performance across products and models

Responsibilities

• Define strategic priorities and a roadmap to improve retrieval model performance for enterprise needs and emerging capabilities.
• Use data and customer engagements to understand user needs and guide future product and model development.
• Collaborate cross-functionally with Product, Finance, Go-to-Market, Engineering, and Marketing.
• Set product strategy and monetization based on a deep understanding of the fast-moving AI landscape.
• Stay current on the research by reading papers and partnering with ML to keep models SOTA.

Requirements

• 4+ years of product management experience, including customer understanding and shipping successful products.
• 1+ year experience working on search products and embedding/reranking models.
• Bachelor’s/postgrad (CS/ML or related) or a background in ML, algorithms, large-scale systems, and statistics.
• Proven ability to lead and execute in a technical, cross-functional environment (product vision, requirements, milestones).
• Strong communication, organizational, and leadership skills.

Nice to have

• Deep familiarity with search evaluation and retrieval quality optimization across multiple product surfaces.