Jobs at Cohere AI

Leads public-sector sales strategy, revenue growth, market expansion, and go-to-market execution across North America. Manages and coaches the public-sector sales team, builds relationships with government decision-makers, agencies, prime contractors, and partners, and closes high-value consultative deals. Collaborates with Marketing, Product, Engineering, and global teams on customer implementations and best practices. Represents the company at industry events and coordinates sales efforts in a matrixed environment.

Evaluate and rank multimodal model outputs, stress-test and document failures, author and edit dataset prompts/responses, build and apply rubrics, perform high-quality annotations across text, image, and structured formats, participate in calibration checks, adapt to evolving tasks, and report model performance trends to cross-functional teams.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Recruit business talent across People, Finance, Revenue, Marketing, Communications, and Operations. Build and manage talent pipelines, source passive candidates, partner with hiring managers, maintain recruiting funnel analytics, monitor market trends, and develop proactive sourcing strategies. The role also involves cultivating industry networks, supporting diversity and inclusion, and leading high-impact talent projects in a fast-growing AI technology company.

Build and maintain Cohere’s public website using Next.js, TypeScript, and Tailwind. Develop polished, growth-focused pages, marketing features, CMS schemas, and content workflows with Sanity. Collaborate with engineers, designers, marketing, and content editors while improving site performance and reliability. Use AI coding tools responsibly and deliver production-quality code.

Lead Cohere’s Data Foundation pillar, managing a team responsible for the full data lifecycle. Own the roadmap, BigQuery warehouse, Airflow and Cloud Run orchestration, dbt modeling, Looker and API serving, Terraform infrastructure, governance, access controls, reliability, incident response, and data freshness SLAs. Lead development of an agentic analytics platform and evaluation framework, establish company-wide analytics standards, and partner with product, engineering, security, legal, and business teams.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Own and evolve Cohere’s Waypoint design system across Figma and production code. Responsibilities include maintaining component libraries, design tokens, documentation, sync tooling, and component packages; partnering with designers and engineers; making architecture and versioning decisions; and exploring how AI models can consume design systems. The role also supports accessibility, multi-platform systems, and design-to-code workflows.

Owns revenue enablement programs for North American field teams from design through rollout, measurement, and iteration. Partners with Product, Marketing, Sales Leadership, and RevOps to align go-to-market priorities. Develops playbooks, certifications, training, and competitive resources; operationalizes MEDDPICC; tracks enablement KPIs; improves content platforms and AI workflows; coaches sellers; and translates field insights into updated enablement materials.

Build and maintain internal applications that support annotators, ML researchers, product managers, and other stakeholders. Develop user-facing browser and server experiences using full-stack technologies, design resilient mission-critical systems, improve engineering velocity, and collaborate through pairing, architecture, documentation, and technical talks. The role requires comfort across frontend and backend development, complex SQL, stakeholder collaboration, and adoption of new technologies.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Lead Cohere’s corporate development strategy across M&A, strategic partnerships, market expansion, and government relationships. Evaluate acquisitions and investments, lead due diligence and post-merger integration, develop market-entry and partnership frameworks, negotiate complex alliances, and create joint go-to-market strategies. The role partners closely with product, engineering, legal, finance, sales, marketing, policy, and government relations teams to support sovereign AI deployments, regulatory compliance, revenue growth, and international expansion.

Build and ship features for Cohere’s North AI workspace platform, develop autonomous agents that interact with sensitive enterprise data, and deploy highly performant, secure applications in low-resource environments. Collaborate with researchers to productionize advanced AI models and techniques while contributing across the full stack using Python and React.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.

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.