Product Manager, Platform Experience & Developer Product

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.

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.
• A 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 shape developer adoption and integration patterns.