Jobs at Cohere AI

The Engineering Manager will lead the Forward Deployed Engineers, manage deployments of North platform, optimize performance, and ensure customer success while collaborating with Product and Sales teams.

Build and ship full-stack features for North, develop autonomous agents that access sensitive enterprise data, productionize state-of-the-art models, write minimal, secure low-resource code, and collaborate with researchers to deploy performant RAG/agentic applications while prioritizing security and user experience.

Partner with leaders to scale organisation design, leadership capability, performance, talent strategy, team effectiveness, and employee experience across a distributed, fast-growing AI company. Coach managers, support retention and onboarding, and help evolve People processes and infrastructure.

The Product Marketing Manager at Cohere will create and execute marketing strategies for AI products, focusing on product adoption and competitive differentiation while collaborating with cross-functional teams.

Lead deployment of North product in private cloud environments, partnering with clients to assess infrastructure needs and resolving technical issues effectively.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

The Manager, Total Rewards will establish a global compensation and benefits framework, design programs, ensure compliance, and collaborate with stakeholders to support Cohere's growth objectives.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an IT Operations Specialist, you will provide IT support, troubleshoot hardware and software issues, assist with onboarding, and enhance the office's AV and networking setup while ensuring smooth operations.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Own product vision, strategy, and execution for North. Set 6–18 month roadmap, drive activation/adoption/retention/expansion, run experiments and metrics, engage enterprise customers, partner with research and engineering to productize model capabilities, and build and lead a high-performing PM and documentation team while ensuring security and time-to-value for enterprise deployments.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Lead design and delivery of leadership, manager, and talent development programs at a scaling AI company. Partner with HRBPs and senior leaders to build onboarding, succession, high-potential, and manager enablement frameworks from the ground up, balancing strategy and execution and driving organizational capability.

Lead the Deployment Engineering team, managing North platform deployments and ensuring customer success while mentoring engineers on cloud and Kubernetes technologies.