Jobs at Cohere AI

Lead sales operations to optimize revenue growth by defining strategy, streamlining processes, managing CRM and pipeline, delivering performance analytics, coordinating cross-functional GTM efforts, and mentoring teams while aligning sales execution with company objectives and stakeholders.

Own the full sales cycle to acquire net-new Global 2000 Financial Services customers, develop consultative, technical value propositions for Cohere's AI/NLP platform, work with channel partners and internal teams to drive proofs-of-concept, deployment, and expansion, and act as the field voice to influence product and engineering priorities.

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.

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.

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.

Own the full sales cycle for state, local, and higher education customers across the SLED market. Responsibilities include territory planning, outbound business development, executive relationship building, consultative selling, partner management, proof-of-concept execution, procurement, and deal closure. The role requires collaboration with SDR, Marketing, Customer Success, Sales Engineering, Product, and Engineering teams to expand public-sector adoption of Cohere’s AI platform.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead Cohere's policy engagement on compute infrastructure, export controls, sovereign AI, and national AI competitiveness. Monitor and analyze relevant developments, develop policy positions, engage governments and cross-functional teams, represent Cohere in public discussions, and produce policy analysis and thought leadership to inform strategic business opportunities and public-private partnerships.

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.

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

Manage the full contract lifecycle and contract operations: triage requests, draft and maintain standard agreements and templates, manage document systems and approvals, monitor compliance and key dates, analyze contract data, and collaborate with Sales, Product, and Finance to streamline contract workflows and reporting.

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.

Own the full sales cycle for State, Local, and Higher Education (SLED) customers in the Western US. Drive net-new acquisition via outbound outreach, partner/channel engagement, and executive relationships. Collaborate with SDRs, Sales Engineering, Product, and Customer Success to deliver proofs-of-concept, navigate procurement, and close deals while shaping product priorities with customer feedback.

Lead and scale global corporate communications: build an eight-person team, define strategy across executive, policy, internal, crisis and enterprise communications, integrate AI for content, manage channels and events, drive storytelling and data-informed programs to protect and grow company reputation.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Drive analytics and measurement for AI product adoption and impact. Build agentic analytics, small language models, predictive models, and customer-facing insights. Design and run experiments (A/B tests, causal inference), ship production models, and translate ambiguous business questions into actionable recommendations used by product, sales, and leadership.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

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.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.