Sr Principal Technical Program Manager, Oci - Seattle, Wa Only

Oracle Oracle · Enterprise · Seattle, WA +1

This role leads the engagement, design, and delivery of AI capacity and infrastructure for large enterprise customers on Oracle Cloud Infrastructure (OCI). It involves translating customer AI requirements into scalable architectures, influencing region design and GPU capacity planning, and defining best practices for scaling AI capacity delivery. The role requires strong technical depth, business judgment, and program management skills in a high-visibility, ambiguous environment.

What you'd actually do

  1. Lead the engagement, design, and delivery of AI capacity and infrastructure for the largest enterprise OCI customers.
  2. Partner with OCI architects and engineering leaders to translate complex customer requirements into scalable, supportable cloud and AI infrastructure architectures, influencing region design, GPU capacity planning, network topology, storage architecture, and deployment models.
  3. Lead large, cross-functional programs with multiple stakeholders (including customers, partners, vendors, and OCI internal) and competing priorities, establishing clear ownership, roadmaps, milestones, and mechanisms to ensure on-time and high-quality delivery.
  4. Define and operationalize best practices, frameworks, and playbooks for AI capacity onboarding, region readiness, and customer handover, enabling OCI to scale delivery across many customers in parallel.
  5. Effectively communicate findings and progress to technical and non-technical audiences, including executive leadership.

Skills

Required

  • 10+ years (Senior Principal) experience as a hands-on technical program or product manager, ideally in with cloud infrastructure domain expertise.
  • Advanced knowledge of product lifecycle management and experience launching/operating customer-facing cloud services or large-scale services operating on cloud.
  • Experience communicating seamlessly with technical and business audiences at all organizational levels.
  • Analytically and technically proficient, able to quickly learn new software, tools, and market trends.
  • Demonstrated success thriving in dynamic, customer-focused, ambiguous environments.
  • Experience in datacenter or cloud infrastructure development or as a member of a cloud software/product development organization.
  • Knowledge and hands-on experience with large-scale GPU infrastructure, data center operations (including power, cooling, hardware, networking), and deploying/maintaining GPU servers.
  • Strong understanding of public cloud services (OCI, AWS, Azure, Google Cloud), especially IaaS, SaaS, and PaaS, including Compute, Storage, Identity, and Networking.

Nice to have

  • Experience in datacenter or cloud infrastructure development or as a member of a cloud software/product development organization.
  • Knowledge and hands-on experience with large-scale GPU infrastructure, data center operations (including power, cooling, hardware, networking), and deploying/maintaining GPU servers.
  • Strong understanding of public cloud services (OCI, AWS, Azure, Google Cloud), especially IaaS, SaaS, and PaaS, including Compute, Storage, Identity, and Networking.

What the JD emphasized

  • high-visibility, high-ambiguity role
  • direct influence on OCI business decisions
  • operate independently in problem spaces where requirements are incomplete
  • architectural tradeoffs are complex
  • decisions have material impact on OCI’s long-term platform direction and customer commitments
  • Success in this role requires exceptional technical depth and breadth, strong business judgment, and the ability to drive clarity and execution without predefined playbooks.
  • Sitting at the intersection of customer strategy, cloud architecture, AI infrastructure, and large-scale execution
  • engage deeply in technical discussions
  • understand architectural constraints and tradeoffs
  • drive alignment across teams
  • identify and mitigate technical and operational risks
  • ensure commitments are met across multiple organizations with competing priorities
  • define and codify best practices, reusable mechanisms, and operating models
  • producing durable execution frameworks, architectural patterns, and capacity onboarding playbooks
  • reduce time-to-capacity and time-to-value
  • allowing OCI to onboard many large customers in parallel
  • Knowledge and hands-on experience with large-scale GPU infrastructure, data center operations (including power, cooling, hardware, networking), and deploying/maintaining GPU servers.
  • Strong understanding of public cloud services (OCI, AWS, Azure, Google Cloud), especially IaaS, SaaS, and PaaS, including Compute, Storage, Identity, and Networking.