Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As a Software Engineer, you will build internal tools, enhance user-facing products, collaborate with other engineers, and adopt new technologies.

The VP of Product Engineering leads engineering teams to create high-performance AI products, boosts team dynamics, and ensures effective communication across teams.

Lead and manage commercial technology contracting: draft, negotiate, and review complex agreements (MSAs, SOWs, order forms), advise cross-functional stakeholders, build contracting strategy and processes, mentor legal team members, manage CLM tools and vendor relationships, and provide legal guidance on commercial risks including AI-related regulatory issues.

The Customer Marketing Manager develops customer stories and marketing campaigns, ensuring engagement and advocacy while collaborating with multiple teams to optimize strategies.

The Senior Revenue Accountant will handle contract analysis, revenue recognition, month-end close activities, balance sheet reconciliations, and support audits, collaborating cross-functionally.

As a Software Engineer, you will build features for Cohere's AI workspace, develop integrations, and collaborate to enhance user data interaction.

As Manager of Technical Staff, you'll lead a team to develop scalable AI models, stay updated on LLM research, and foster innovation.

The Learning and Development Manager will build the L&D function from scratch, creating programs to foster employee skills, knowledge, and capabilities aligned with AI innovation.

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.

The Product Manager will define the product strategy for North in the public sector, ensuring compliance and addressing government needs in AI adoption.

The Technical Revenue Manager will oversee revenue recognition processes, analyze complex transactions, and design systems in a growing AI company, collaborating with various teams.

Lead SEC reporting and technical accounting functions, ensuring compliance with US GAAP and SEC regulations while managing complex transactions and financial reporting activities.

The Partner Marketing Manager will lead strategies and execution for partnerships with Oracle and Dell, focusing on joint GTM plans, content creation, events, and performance measurement to drive revenue and market credibility.

In this role, you will optimize prompts, develop tools, shape core AI agents, and design solutions that meet customer needs in diverse sectors.

Implement and scale ML experiments and training pipelines, collaborate with researchers to turn ideas into production-ready systems, run ablations and evaluations, debug models, and optimize model training and evaluation infrastructure for NLP and deep learning research.

As a Senior/Staff Backend Engineer, you'll build features for an AI workspace platform, develop autonomous agents, and ensure security while collaborating on productionizing AI models. Strong Python experience is key.

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

As a Software Engineer, you will build and operate Kubernetes GPU superclusters, optimize infrastructure for AI workloads, and improve system stability and performance.

Customer Support Engineer responsible for addressing customer inquiries, providing technical support for API integration, creating self-service resources, and collaborating with Product and Engineering teams to enhance user experience.