Principal Technical Product Manager

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Help build the enterprise AI runtime and agentic platform that will power AI solutions across Optum. AI Factory Runtime and Agentic Platform Services provides a secure, scalable platform that enables engineering teams to deploy and operate AI workloads and agents across private cloud, public cloud, and hybrid environments. As Principal Technical Product Manager - AI Runtime, Agentic Platform & Compute, you will own the product strategy for this critical layer of AI Factory. You will transform GPU compute, Kubernetes, model serving, inference, agent runtimes, agent orchestration, multi-agent execution, lifecycle management, and observability into enterprise services that development teams can easily consume. You will define the product vision, roadmap, service model, and investment priorities while partnering with Engineering, Compute, Cloud, Security, Governance, Risk, Compliance, and Architecture leaders to build a high-performance enterprise AI platform. This role owns the AI runtime, compute, and operational agent platform experience. It does not own underlying physical infrastructure, enterprise model approval and Responsible AI policy processes, or the business-specific agents, AI applications, and solutions built by consuming teams. AI can only scale across the enterprise when engineering teams have secure, reliable, and easy-to-consume runtime and agent platform capabilities beneath their solutions. You will turn advanced GPU, Kubernetes, AI runtime, and agent execution technologies into standardized enterprise services that help teams move AI workloads and agents into production faster, while integrating with enterprise-approved model access, security, and governance services. This is an opportunity to shape a foundational AI platform serving one of the world's largest healthcare enterprises and influence how engineering teams securely deploy and operate AI workloads and agents at enterprise scale.

Own the product vision, strategy, roadmap, and investment priorities for AI Factory Runtime and Agentic Platform Services across private cloud, public cloud, and hybrid environments Define clear product boundaries, ownership, and integration points across AI Factory, Compute, Cloud, Security, Governance, Architecture, enterprise AI enablement services, and consuming AI solution teams Productize GPU compute, Kubernetes/OpenShift, model serving, LLM inference, agent runtimes, agent orchestration, multi-agent execution, agent lifecycle management, and platform APIs into standardized services engineering teams can easily consume Define the roadmap and service model for operational agent platform capabilities, including agent deployment, execution, orchestration, scaling, lifecycle management, observability, tool connectivity, and governance integration Create a leading developer experience, including self-service onboarding, service tiers, APIs, SLOs/SLAs, documentation, consumption models, and platform automation Develop a deep understanding of AI workload, agent workload, and customer requirements and translate them into platform capabilities, architecture priorities, and measurable business outcomes Partner with engineering and architecture teams to evolve AI runtime and agent platform capabilities across private cloud, Azure, AWS, GCP, and hybrid environments while abstracting infrastructure complexity from consumers Partner