Product Manager, Search and Embeddings

Overview

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 cus.tomers.Cohere is a team of researchers, engineers, designers, and more, who are passionate

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!Product Management at Cohere:

Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces.

We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass.

At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.

We view

that PMs play at Cohere to be “full-stack” in the sense that

The Search and Embeddings RoleOne 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

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.

The Search and Embedding PM manages the following models and products:Embeddings (Embed-v4.0)Rerank (Rerank-v3.5)

Compass (Cohere’s Search Solution)

Evaluation of Search performance across all products and modelsIn this role,

Requirements

work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and cus.tomer happiness.

Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities.

Use data and cus.tomer 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 SOTAIn order to be successful in this role, you have:At least 4+ years of product management experience, understanding cus.tomer nee