Ai Program Jobs in Tennessee (NOW HIRING)

The AI Infrastructure GPU Delivery team is responsible for planning, coordinating, and delivering the infrastructure that powers Oracle Cloud Infrastructure's rapidly expanding AI and GPU portfolio. The organization partners closely with Engineering, Cloud Platform, Networking, Site Reliability Engineering (SRE), Data Center Operations, Observability, Finance, Business Operations, hardware partners, and senior leadership to deliver highly complex infrastructure programs at global scale.

As a Principal Program Manager, you will oversee the planning, execution, and operational readiness of strategic AI infrastructure and GPU delivery initiatives. You will be responsible for translating complex technical and operational requirements into integrated execution plans, establishing governance frameworks, driving cross-functional alignment, and ensuring successful delivery across multiple concurrent programs. This role requires the ability to influence across organizations, navigate ambiguity, manage competing priorities, and drive executive decision-making without direct authority.

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Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

• Own the end-to-end execution of complex AI infrastructure and GPU delivery programs, from strategic planning and deployment readiness through operational handoff.
• Identify, prioritize, and successfully execute a broad portfolio of cross-functional initiatives while managing multiple programs concurrently.
• Develop and maintain integrated program plans that define milestones, deliverables, dependencies, risks, owners, key decisions, and committed actions.
• Coordinate delivery across Engineering, Cloud Platform, Networking, SRE, Data Center Operations, Observability, Finance, Business Operations, hardware partners, and executive leadership.
• Establish and lead program operating mechanisms, including weekly execution reviews, readiness assessments, governance forums, executive business reviews, and cross-functional planning sessions.
• Monitor GPU fleet readiness, deployment progress, operational health, service availability, and reliability across current and next-generation AI platforms.
• Manage deployment governance, operational readiness reviews, stakeholder transitions, and change management processes to ensure successful service delivery.
• Navigate complex dependencies across organizations, resolve execution risks, drive mitigation plans, and ensure accountability through program completion.
• Serve as the primary escalation point between engineering and operations to accelerate issue resolution and remove execution blockers.
• Establish structured incident management processes, including root-cause analysis, corrective and preventive action tracking, and verification of long-term resolutions.
• Develop executive-level reporting and dashboards that communicate program health, operational KPIs, customer impact, dependencies, financial status, risks, mitigation plans, and key decisions.
• Partner with Observability and Telemetry teams to improve visibility into GPU health, network fabric performance, RDMA, RoCE, InfiniBand, and overall service health.
• Collaborate with internal engineering organizations and external hardware partners to improve deployment quality, operational efficiency, and time to resolution.
• Establish scalable program management frameworks, documentation standards, runbooks, playbooks, onboarding materials, and repeatable delivery processes.
• Drive continuous improvement through automation, AI-assisted workflows, data-driven decision making, validation frameworks, version readiness, and operational optimization.
• Build and maintain consistent reporting, scorecards, KPIs, and program metrics to support executive decision-making and portfolio management.

Qualifications

• Bachelor's or Master's degree in Business, Engineering, Computer Science, or a related discipline, or equivalent practical experience.
• Minimum of seven years of program management, product management, technical project management, or related experience leading large-scale, cross-functional initiatives.
• Demonstrated experience managing complex technical programs involving infrastructure, cloud services, networking, distributed systems, or enterprise software.
• Proven ability to lead multiple concurrent programs while effectively managing competing priorities, dependencies, risks, and stakeholder expectations.
• Strong experience partnering with cross-functional technical and business organizations to deliver strategic initiatives.
• Experience developing executive dashboards, KPI reporting, scorecards, and data-driven program insights to support operational and business decisions.
• Demonstrated ability to establish scalable governance frameworks, operating cadences, and standardized program management processes.
• Strong analytical, organizational, communication, and executive presentation skills, with the ability to influence stakeholders at all organizational levels.
• Proven ability to work effectively in highly ambiguous, fast-paced environments while driving accountability and execution across organizations without direct authority.
• Experience with AI infrastructure, GPU deployments, cloud infrastructure, data center operations, networking, observability, or large-scale distributed systems is strongly preferred.
• PMP, Scrum Master, or equivalent project management certification is a plus.