Leads project management across AI and Developer Platforms, establishing scalable operating models, planning frameworks, governance, risk management, and delivery standards. Manages and develops a distributed Project Management team, oversees portfolio and execution rhythms, aligns cross-functional stakeholders, resolves trade-offs, and provides leadership visibility into progress, dependencies, risks, resources, and outcomes. Uses data, automation, dashboards, and AI to improve delivery efficiency and organizational decision-making.

Build and operate secure, scalable AI compute platform services, including backend APIs, asynchronous workflows, Kubernetes controllers, and multi-tenant workload capabilities. The role focuses on distributed training and inference, platform reliability, observability, developer tooling, and infrastructure simplification. Responsibilities include collaborating across engineering teams, improving scalability and developer productivity, and providing technical leadership for production AI platform capabilities.

Design and build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.