Technical Program Manager, OEM Enablement

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee technical programs related to AI Factory development, deployment, and support, collaborating with engineering and OEM partners to address readiness gaps and resolve dependencies as customer requirements change.

• Collaborate with NVIDIA Solutions Architects, Field Application Engineers, sales and account management, and engineering teams to align technical specifications, partner capabilities, and customer expectations.

• Evaluate how OEM services and support capabilities fulfill the needs of CSP and NCP customers, and design programs to bridge existing gaps.

• Organize targeted training and knowledge transfer initiatives with Solutions Architects, Field Application Engineers, and engineering to enhance OEM capabilities.

• Collaborate with OEM engineering, supply chain, and support teams to comprehend challenges, develop joint strategies, and address technical issues alongside NVIDIA experts.

• Connect with OEM and NVIDIA leadership to identify opportunities, articulate technical and business implications, and influence decision-making.

• Define clear ownership and milestones; standardize templates, trackers, dashboards, and reviews for partner programs, deployment services, and leadership updates.

• Leverage field operations data, customer and partner insights, and engineering results to enhance partner workflows, deployment execution, and operational processes.

• Transform lessons learned into actionable improvements in products, tooling, OEM training, and lifecycle support.

⛳️ Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related technical field, or equivalent practical experience.

• Over 10 years of experience in enterprise and/or hyperscale data centers, hardware systems, or related infrastructure, with a track record of leading cross-functional technical initiatives.

• Comprehensive understanding of the hardware systems lifecycle—from development and validation to deployment and support—in large-scale AI infrastructure.

• Technical expertise to collaborate closely with engineering on NVIDIA or similar AI systems, comprehend product architecture and system dependencies, and facilitate debugging and issue resolution with technical specialists.

• Capability to impose structure on ambiguous challenges, establish ownership and measurable results, and adjust priorities as technologies and customer needs evolve.

• Excellent communication and relationship-building abilities, with the competence to engage OEM engineering, supply chain, and support teams in in-depth discussions and convey program direction, trade-offs, and decisions at the leadership level.

• Proven ability to influence outcomes and foster accountability without direct authority across engineering, customer-facing teams, and external partner organizations.

• Experience collaborating directly with OEM/ODM partners and CSP or NCP customers on AI/HPC systems, infrastructure deployment, or lifecycle support.

• Familiarity with NVIDIA products and AI Factory infrastructure, including accelerated computing, networking, and system-level troubleshooting.

• Proven experience in building ecosystem capabilities or addressing gaps across engineering enablement, service delivery, RMA, spares, or support, with evident improvements to customer outcomes.

🏝️ Benefits

• Equity

• Benefits

• Willingness to travel up to 25%