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
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