Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why This Role?

This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams.

As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery.

We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities.

In this role, you will

Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf.

Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices.

Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows

Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development.

Collaborate with Product to ensure requirements are adapted into the core product.

Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers.

Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally.

You may be a good fit if your experience covers the following areas

Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas.

Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control.