Enterprise foundation models and private-deployment AI workspace platform
Cohere builds large language models and enterprise AI products deployable on major clouds, private cloud or on-premises. Its stack pairs JAX, PyTorch, CUDA, Triton and XLA/MLIR with Slurm, Ray and Kubernetes, alongside vLLM and SGLang for serving, pointing to in-house work at both the training and inference layers. Hiring is senior-heavy and engineering-led, with a CISO search and a push on its North workspace platform for private deployments.
Notable leadership hires: Chief Information Security Officer, PR Director, Chief of Staff
Cohere is a Toronto-headquartered AI company founded in 2019 that develops foundation models and end-to-end AI products for enterprises. Its platform is built around data security and privacy, with deployment options spanning AWS, Azure, GCP, private cloud environments and on-premises infrastructure. The company also offers open-source models aimed at developers. It is privately held, employs 201–500 people and recruits across North America, Europe, the Middle East and Asia, including the UK, US, France, Japan, South Korea and Saudi Arabia.
Cohere's stack includes Python, JAX, PyTorch, TensorFlow, CUDA, Triton, XLA and MLIR for model work, Kubernetes, Slurm and Ray for compute, vLLM and SGLang for inference, and AWS, Azure and GCP for cloud.
Yes. Engineering is Cohere's dominant hiring area, skewed toward senior roles, with additional demand in sales, data, research and security. A Chief Information Security Officer role is also open.
Cohere hires in Canada, the United States, the United Kingdom, France, Germany, Sweden, Belgium, Bulgaria, Japan, Singapore, South Korea, Saudi Arabia and the United Arab Emirates.
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Cohere's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.