Product Manager, Search and Embeddings

About the Role

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! One of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models.

Responsibilities

• Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities.
• Use data and customer engagements to better understand user needs and guide future product and model development.
• Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.
• Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape.
• Read lots of papers and collaborate with ML on ensuring our models remain SOTA

Requirements

• At least 4+ years of product management experience, understanding customer needs, and launching successful products.
• At least 1+ years of working on search products and embedding/reranking models.
• Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.
• Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.
• Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.