Senior Performance Marketing Strategist
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Lead paid media strategy across Google, LinkedIn, Meta, and Microsoft for growing B2B companies. Connect campaign investment to pipeline and revenue through strategic client leadership.
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NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
Senior Technical Program Manager, AI Factory Infrastructure — NVIDIA (Remote, United States)
Lead NVIDIA’s 100MW+ AI factory data center deployments, coordinating infrastructure, hardware, software, contractors, utilities, and OEMs from planning through commissioning and operational handoff.
Description
- Partner with product owners and technical leads to define requirements for next-generation AI factories.
- Plan and deliver long-term programs through schedules, resource allocation, and milestone checkpoints.
- Collaborate with data center and hardware teams to develop solutions and risk-mitigation strategies.
- Coordinate capacity planning, engineering roadmaps, and data center expansion plans with internal stakeholders.
- Direct end-to-end delivery of 100MW+ AI factory data center deployments from construction readiness through commissioning, turn-up, and operational handoff.
- Align general contractors, colocation providers, utilities, and OEMs on electrical and mechanical scope, long-lead equipment, and site logistics.
- Lead integrated readiness reviews and establish acceptance criteria across power, liquid cooling, networking, and platform or hardware teams.
- Create program plans supporting government grants and related initiatives.
- Convert program requirements into Basis of Design documentation.
- Promote cross-functional collaboration and ensure accountability for action items and deadlines.
Requirements
- Demonstrated ability to plan and execute data center lifecycles, large-scale AI factory buildouts, and facility expansions over the long term.
- Background delivering high-density AI infrastructure across the full data center lifecycle, including commissioning, readiness reviews, turn-up, and operational handoff.
- Experience coordinating colocation providers, general contractors, utilities, and OEMs on complex electrical and mechanical work at 100MW+ campus scale.
- Strong technical program leadership spanning power delivery, liquid cooling, networking, and compute or platform teams.
- At least 12 years of program or project management leadership on data center projects involving mechanical, electrical, and plumbing construction plus large-scale server, storage, and network deployments.
- Bachelor’s or master’s degree in engineering, or equivalent experience.
- Comprehensive knowledge of infrastructure and data center facilities technologies.
- Familiarity with NVIDIA’s AI compute stack and with translating platform requirements into data center infrastructure designs.
- Experience working in colocation data center environments.
Benefits
- Equity compensation.
- Benefits package.
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