Product Manager, Managed North

Cohere is a security-first enterprise AI company that builds foundation models and end-to-end products for real-world business problems. The Product Manager will own the strategy, roadmap, launch, and evolution of a managed, self-serve version of North, partnering with engineering, research, and go-to-market teams to drive adoption and customer value.

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
• 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 and integration patterns