Jobs at Cohere AI

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 role involves managing Cohere's platform for developers and enterprises, overseeing APIs, SDKs, and tooling for improved integration and user experience.

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.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

The Product Manager will oversee user engagement and growth for an AI platform across native apps for iOS, Android, and macOS, focusing on onboarding and retention strategies.

You will oversee the full lifecycle recruitment for technical positions, collaborating with leaders to attract top talent in tech fields.

As a Senior Software Engineer, you will enhance the platform's authentication, billing, and payment systems while adding features to the user interface. You'll be responsible for writing efficient code, ensuring high security and privacy standards, and managing software deployment processes.

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.

Run marketing org operations and planning cadence, translate VP priorities into executable plans, manage budget/headcount trade-offs, ensure cross-functional coordination, own leadership materials and special projects, and improve org cadence and accountability so programs ship on time and leaders focus on strategy.

Lead design, administration, and governance of GTM variable compensation plans; model compensation and headcount scenarios; partner with Finance, HR, and Sales Enablement; own plan rollout, system configuration, and exception handling; and act as RevOps lead for post-close GTM M&A integrations, playbooks, data mapping, and risk tracking.

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.

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.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

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

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 Senior Manager of Financial Planning & Analysis will oversee forecasting processes, build financial models, collaborate with various departments, and ensure compliance while driving process improvements in a high-growth environment.

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

As Director of Infrastructure Finance, you will oversee financial strategies for infrastructure investment, budgeting, performance metrics, risk management, and collaboration with engineering teams.

The RevOps Analyst will enhance reporting and processes to drive revenue growth, manage quote-to-cash processes, and ensure data hygiene while collaborating with the Revenue team and delivering insights to management.