Cohere

Machine Learning Engineer

• Define and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals
• Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges
• Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements
• Lead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship
• Foster a culture of ownership, innovation, and continuous learning and establish/evolve team processes to maximize productivity and execution speed
• Partner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market
• Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases
• Oversee performance optimization and evaluation of models in real-world enterprise environments
• Act as a trusted technical advisor to strategic customers—translating needs into actionable plans
• Lead delivery efforts from prototyping through to production deployment on customer infrastructure

Machine Learning Manager – Applied ML

Product Manager

• Define strategic priorities and product roadmap for Code at Cohere, focusing on enterprise needs and emerging AI capabilities
• Use deep customer engagement and data to understand developer workflows, identify high-value use cases, and guide product development
• Collaborate with stakeholders across research, engineering, design, product, finance, go-to-market, and marketing
• Drive product strategy through deep understanding of the competitive AI landscape for developer tools
• Partner closely with research team to ensure code models remain state-of-the-art and tailored for enterprise
• Define overall product strategy and roadmap, end-to-end user experience for developers (chat interfaces, IDE plugins, CLIs), go-to-market motion, and feedback loop for research

Senior Product Manager, Code

DevOps Engineer

• Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout
• Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices
• Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards
• Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime
• Develop training materials and conduct sessions to empower users to adopt North’s capabilities effectively
• Manage complex projects and collaborate with cross-functional teams to deliver impactful enterprise integrations

Enterprise Deployment Engineer

• Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout
• Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices
• Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards
• Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime
• Develop training materials and conduct sessions to empower users to adopt North’s capabilities effectively
• Manage complex enterprise deployments to ensure seamless integration of North into diverse organizational environments