Product Manager, Managed North

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview We’re seeking an experienced Product Manager to own the creation of Cohere’s managed offering. This is a high-leverage role helping shape the future of Cohere’s market strategy. This role will: Lead the strategy and execution for launching a self-serve version of North that unlocks Cohere's capabilities for mid-market companies without complex deployment. Shape the strategic vision for bringing enterprise-grade AI to this segment, defining the possibilities while building influence across teams to turn vision into reality. Discover the right market rhythm, forge partnerships with GTM teams to drive adoption, and establish a new revenue stream alongside Cohere’s existing offering. Influence North's deployment framework, creating solutions that eliminate infrastructure barriers while ensuring data residency, compliance, and operational confidence. Partner closely with both engineering leadership and GTM functions to bring this offering from concept to market. Responsibilities Drive the roadmap and strategy for managed North, balancing near-term customer needs with long-term platform investment. Partner with GTM teams to test assumptions, validate market needs, and iterate based on customer feedback, ensuring your solutions deliver real business value through seamless production operations. Engage directly with customers and developers to understand integration challenges, validate priorities, and surface unmet needs. Define success metrics for platform health and developer experience, and lead initiatives to move them. Partner with engineering, research, technical writing, and developer relations to ship and document platform improvements. Requirements 5+ years of product management experience, with meaningful time spent owning a B2B SaaS product. A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. Entrepreneurial and experience taking new products to market. Experience with deployment models such as multi-tenant and dedicated infrastructure. Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions. Strong collaborator who works well across engineering, design, infrastructure, and GTM teams, and who can communicate technical tradeoffs clearly to a range of stakeholders. Highly execution-oriented with a bias toward shipping and iterating quickly. Demonstrated ownership across the full product lifecycle — from problem definition and scoping through launch, iteration, and eventual deprecation or migration. Nice-to-Haves Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products. Experience owning a model serving or inference platform. Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption