Who are we?

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!

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 the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.

About The Search and Embeddings Role

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.

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 models

In this role, you will

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

In order to be successful in this role, you have

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.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Product Manager, Search and Embeddings

Job Type