Product Manager, Managed North

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. 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. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Role Overview We are seeking a Platform Experience and Developer PM to own how developers and enterprise technical teams build on, integrate with, and operate Cohere's model platform. This is a high-leverage role sitting at the intersection of three domains: Managed Services and Models as a Service. Own Cohere's managed service offerings as a product. This is broader than model serving alone. It includes the full range of how enterprises consume and operate Cohere's capabilities, from shared multi-tenant model access to dedicated single-tenant deployments, and from synchronous real-time inference to high-volume asynchronous workloads. You will own the product thinking around deployment models, data residency and regional compliance requirements, self-serve provisioning, and the operational controls that give enterprises confidence in running production workloads on Cohere’s infrastructure. API and SDK. Own the roadmap for how developers build on Cohere. This means setting the direction for our APIs and SDKs, thinking carefully about interface design and ergonomics, and ensuring we ship developer primitives that are stable, well-documented, and a joy to build with. Developer Experience and Tooling. Own the surfaces that give developers visibility and control over their integration with Cohere. This includes the API console, credential and access management, usage and cost visibility, request observability, and sandbox and testing environments Responsibilities Drive the roadmap across managed services, APIs, SDKs, and developer tooling, balancing near-term customer needs with long-term platform investment. Translate model and infrastructure capabilities into well-designed product surfaces that developers and enterprise operators can rely on. 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 developer-facing or platform-layer products such as APIs, SDKs, developer tools, or technical infrastructure. Strong technical fluency with API design and SDK development, including an understanding of versioning, backward compatibility, and what makes a developer experience feel polished and reliable. A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. Experience building or owning developer tooling surfaces such as consoles, dashboards, usage analytics, or observability and debugging tools. 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 Experience owning a model serving or inference platform, including familiarity with deployment models such as multi-tenant and dedicated infrastructure. Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products. Familiarity with asynchronous and high-throughput workload patterns, and the product considerations they introduce around job management, status visibility, and cost attribution. 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 sh