Cohere

Cohere is an AI company that builds large language model technology for organisations that want to use generative AI in real products and internal workflows. Its focus is on helping teams move from experimentation to dependable deployment, with models and tools that can be integrated into applications, connected to a company’s own data, and operated with the controls businesses typically need. In practice, this means enabling use cases such as search and retrieval over private knowledge bases, summarisation, classification, content generation, and conversational interfaces, while aiming to keep performance, safety, and governance in view.

The company primarily serves software companies and larger enterprises that want to add language capabilities to their services or improve productivity across functions like support, sales, legal, and operations. Cohere’s audience is usually technical and product-led, including engineering teams, data and ML groups, and platform teams responsible for security and compliance. Job seekers can expect a customer base that asks detailed questions about reliability, data handling, evaluation, and how AI features behave at scale, rather than simple demos.

Within the SaaS ecosystem, Cohere sits in the infrastructure layer that powers other products. It is not a typical end user SaaS application, it is closer to a platform that developers build on top of. That position tends to shape the work: success depends on strong APIs, clear documentation, robust tooling for deployment and monitoring, and close collaboration with customers who are integrating the technology into their own systems. It also means the company operates in a fast moving part of the market, where research progress and practical engineering constraints meet.

People who thrive at Cohere are likely to enjoy a mix of deep technical problems and real world delivery. Machine learning researchers and applied scientists will be drawn to model development, evaluation, and alignment, while software engineers will find work in distributed systems, inference performance, developer tooling, data pipelines, and product engineering. Product managers, solutions engineers, and customer facing technical roles are also important in a platform business, translating customer needs into capabilities, guiding implementations, and feeding practical constraints back into the roadmap. Strong communication skills and comfort working across disciplines are likely to matter, because shipping AI safely and usefully is rarely a single team effort.

For candidates, the appeal is often the chance to work on foundational AI technology while staying close to how businesses actually adopt it. The environment is likely to suit people who like ownership, iteration, and measurable outcomes, alongside the rigour required for security, privacy, and reliability. If you are motivated by building tools that other teams depend on, and you want to be part of a company shaping how generative AI is deployed in production settings, Cohere is the sort of place where that work is central rather than peripheral.