Sr. Program Manager - Revenue Operations PMO

At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.

Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.

Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.

At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.

Job Overview

Penguin Solutions is seeking an experienced Senior Program Manager to manage customer-facing neocloud programs within the Revenue Execution Program Management Office (REPM). This senior role translates commitments for large-scale GPU infrastructure and AI cloud capacity into integrated execution plans spanning requirements, design readiness, supply, build, logistics, site readiness, deployment, cluster validation, customer acceptance, and transition to managed operations. Programs may include hardware delivery, deployment services, managed services, or a combination of these scopes.

The Sr. Program Manager will coordinate Sales, Solutions Architecture, Engineering, Product, Supply Chain, Manufacturing, Professional Services, Managed Services, Finance, customers, data center operators, and technology partners. The role requires technical fluency in AI infrastructure, disciplined dependency and change management, and clear customer and executive communication to protect delivery commitments, revenue-recognition readiness, margin, and the customer’s planned availability of usable GPU capacity.

Responsibilities

- Manage assigned neocloud programs across sites and phased capacity expansions; translate contracted scope and customer requirements into integrated milestones, accountable owners, dependencies, readiness gates, and delivery baselines.

- Manage the critical path across GPU and component availability, rack integration, factory testing, shipment, installation, cluster bring-up, validation, and customer acceptance; distinguish hardware delivery from usable capacity and revenue-recognition readiness.

- Coordinate customer, data center, OEM, network, and internal technical teams on power, cooling and liquid-cooling interfaces where applicable, rack space, cabling, connectivity, storage, site access, and deployment staffing before equipment arrival.

- Maintain integrated schedules, risk and issue registers, action and decision logs, readiness checklists, and change controls; assess scope, configuration, sequencing, and capacity changes for schedule, cost, resource, and customer impact.

- Identify supply constraints, facility delays, technical integration issues, resource gaps, acceptance blockers, and revenue or margin exposure; quantify impacts where possible, develop recovery options, and escalate decisions with owners and required dates.

- Serve as the program coordination point for customers and partners; establish clear responsibility boundaries, dependencies, escalation paths, and communications across geographically distributed teams and third-party delivery organizations.

- Facilitate kickoff, execution reviews, site and shipment readiness gates, deployment checkpoints, and acceptance planning; coordinate engineering-led compute, network fabric, storage, and cluster performance validation against agreed criteria.

- Coordinate a documented handoff to Managed Services or customer operations, including monitoring, support coverage, service-level commitments, runbooks, training, spares and RMA processes, open issues, and operational ownership within contracted scope.

- Report milestone confidence, deployment and accepted-capacity progress, resource readiness, unresolved defects, and forecast risks; coordinate acceptance evidence and billing milestones with Finance, which retains revenue-recognition decisions.

- Operate independently within REPM governance; manage concurrent workstreams, enforce approved scope and change control, and present concise customer and executive updates with business impact, mitigation options, and decisions required.

Success Profile

- Creates predictable execution across rapidly scaling neocloud programs by converting incomplete requirements and multi-party dependencies into clear plans, evidence-based readiness gates, and accountable actions.

- Balances speed to usable GPU capacity with technical validation, customer acceptance, operational readiness, and financial commitments; surfaces revenue, margin, schedule, and resource risks early rather than treating shipment as program completion.

- Builds customer and partner trust through accurate forecasts, concise communication, disciplined change control, and timely escalation; closes acceptance and operational handoff requirements with documented evidence and clear ownership.

Qualifications

- Bachelor’s degree in Engineering, Computer Science, Business, Supply Chain, Operations, or a related field.

- 10+ years of experience in program management, technical delivery, or customer-facing infrastructure execution, including managing complex data center, cloud, AI/HPC, or comparable hardware and services programs.

- Demonstrated ability to coordinate matrixed technical and operational teams, customers, suppliers, and third-party data center operators against integrated schedules, clear deliverables, and accountable ownership.

- Technical fluency in GPU-accelerated infrastructure and the dependencies among compute, high-speed networking such as InfiniBand or Ethernet/RoCE, storage, Linux-based cluster software, and provisioning; able to translate engineering input into execution plans without serving as the design authority.

- Working understanding of high-density data center readiness, including power availability, cooling and liquid-cooling dependencies, rack layout, cabling, connectivity, site access, and safe installation coordination with qualified technical and facility owners.

- Strong critical-path analysis, risk management, resource planning, and change-control skills; ability to evaluate recovery scenarios and communicate schedule, cost, margin, and revenue implications using reliable program data.

- Experience translating statements of work, customer requirements, and acceptance criteria into readiness gates, validation plans, documented signoffs, and operational handoffs; awareness of the distinction between shipment, installation, acceptance, billing, and revenue recognition.

- Clear customer and executive communication, disciplined documentation, and sound escalation judgment; ability to manage ambiguity, competing priorities, and geographically distributed teams independently.

- Direct experience with neocloud or GPU-as-a-service providers, large-scale GPU cluster deployments, phased multi-site capacity expansions, or transitions to 24x7 managed operations preferred; familiarity with service-level agreements, monitoring, incident escalation, and spares/RMA readiness is valuable.

- Project Management Professional (PMP), Certified Scrum Master (CSM), or similar certification preferred.

Location

Durham, North Carolina

Travel

Up to 30%

Compensation & Benefits

The base pay range that the Company reasonably expects to pay for this position in the United States is $117,000 - $147,000; the pay ultimately offered may vary based on business considerations, including job-related knowledge, skills, experience, and education. The position is bonus-eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.

Inclusion & Belonging Statement

We are committed to creating an inclusive environment that embraces differences and fosters belonging for all.

Equal Opportunity Statement

We are an Affirmative Action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.