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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 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.

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.

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.

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.

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