Jobs at Cohere AI

Leads corporate accounting operations, including month-end close, lease and equity accounting, foreign currency, purchase accounting, general ledger management, reconciliations, financial reporting, and internal controls. The role develops scalable accounting processes, improves workflows using technology and AI tools, supports acquisitions, and partners cross-functionally to ensure accuracy, compliance, and operational excellence in a high-growth technology company.

Leads Cohere’s global Customer Success, Services, and Technical Support teams, driving adoption, customer experience, lifecycle strategy, and executive-level customer advocacy. Defines workflows and handoffs, coaches functional leaders, analyzes customer and support data, improves the customer journey, and influences product strategy. Partners with pre-sales, Product Management, and Machine Learning Engineering to represent customer needs and deliver value to enterprise AI customers.

Own full-cycle recruiting for Cohere’s go-to-market teams, from sourcing through hiring, while delivering an excellent candidate experience. Partner with hiring managers to develop recruiting strategies, monitor funnels in Ashby, provide talent-market insights, and build diverse talent communities. The role also includes proactive sourcing, recruiting projects, conference representation, and curated networking events within a rapidly growing AI company.

Designs end-to-end experiences for Cohere’s AI modeling products, translating complex workflows into intuitive interfaces. Responsibilities include user research, interaction and visual design, collaboration with product and engineering teams, design-system development, stakeholder communication, and implementation reviews. The role influences product strategy and prioritization while ensuring high-quality, accessible, and scalable experiences for model training and deployment workflows.

Lead strategy and business operations initiatives, including pricing and packaging optimization, financial modeling, corporate development, fundraising, partnerships, investor relations, M&A support, and market analysis. Collaborate with product, go-to-market, research, engineering, and executive leaders to drive strategic decisions, build consensus, and identify growth opportunities.

Source and engage high-quality business talent across sales, finance, revenue, marketing, communications, and operations. Build talent pipelines, partner with hiring managers and talent partners, manage recruiting funnels in the ATS, monitor sourcing analytics, maintain market intelligence, develop proactive sourcing strategies, cultivate professional networks, and lead high-impact talent projects while supporting inclusive hiring.

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.

Leads marketing operations, automation, analytics, attribution, martech systems, data governance, budget management, and pipeline planning. Manages marketing operations and analytics teams, owns Marketo, Salesforce, Looker, GA4, and 6sense, develops multi-touch attribution, oversees account-based marketing data, and partners with Revenue Operations, Sales Operations, Finance, and executive leadership to measure marketing performance and guide investment.

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.

Lead product and technology communications for Cohere by partnering with product, engineering, research, and GTM teams. Develop messaging, launch materials, thought leadership, and crisis communications; translate complex AI/technical concepts for technical and non-technical audiences; use insights to refine messaging and drive cross-functional alignment.

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.

Own the full sales cycle for net-new enterprise technology accounts, from prospecting and relationship building through proof-of-concept, contract close, deployment, and expansion. Develop consultative value propositions for AI and NLP solutions, collaborate with channel partners and internal product, engineering, marketing, sales development, and customer success teams, and exceed quota through strategic multi-year enterprise deals.

Own and evolve Cohere’s global narrative through executive thought leadership, policy storytelling, and corporate communications. Partner with senior executives and marketing to develop video, podcast, and other content; establish scalable production workflows; build AI-enabled content pipelines; capture event content; and create playbooks for launches, regulatory milestones, customer wins, and other key moments. The role also audits executive communications, develops flagship storytelling, and scales successful content surfaces based on performance and capacity.

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.

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.

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.

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.

Build and operate the platform that schedules, runs, and monitors machine learning training, evaluation, and reinforcement-learning workloads on Kubernetes. Responsibilities include job scheduling, workload networking, runtime isolation, checkpoint storage, automation, infrastructure as code, observability, and production troubleshooting. The role collaborates with AI researchers and ML engineers and includes a compensated 24/7 on-call rotation.