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MinIO is seeking a Director of Product Marketing focused on the NVIDIA partnership to shape how MinIO is positioned within the NVIDIA ecosystem and broader AI infrastructure stack. This role combines deep technical fluency in GPU-accelerated AI infrastructure with hands-on product marketing ownership of MinIO's most strategic partnership.
You will own the messaging and content that defines MinIO's role in the NVIDIA AI Factory, translating joint engineering work into co-marketing assets, reference architecture content, and customer-facing narratives. Key responsibilities include developing technical positioning for MinIO's integrations with NVIDIA technologies, partnering with NVIDIA's marketing and product teams on joint launches and co-branded assets, and building solutions content that demonstrates how MinIO and NVIDIA infrastructure solve specific customer problems like agentic inference at scale, multimodal training pipelines, KV cache offload, and large-context serving.
You will drive GTM strategy and execution for AIStor and MemKV launches touching the NVIDIA ecosystem, coordinating cross-functionally with Product Management, Engineering, Field, Sales, and Communications. You'll create field enablement content including battlecards, talk tracks, and technical briefs to help sales teams confidently sell MinIO into NVIDIA-led opportunities and to AI infrastructure buyers.
Required experience includes 5+ years in product marketing with at least 3 years focused on AI/ML infrastructure, GPU-accelerated workloads, data platforms, or strategic partner marketing. You should have demonstrated experience driving partner co-marketing programs with strategic technology partners like NVIDIA, AWS, or Google Cloud. Strong technical acumen on GPU architectures, inference frameworks, distributed training, and modern AI infrastructure is essential, with credibility to engage with NVIDIA's engineering teams and technical buyers. Preferred qualifications include direct NVIDIA ecosystem experience, hands-on familiarity with inference frameworks and the modern AI serving stack, background in technical roles, and familiarity with MinIO or S3-compatible storage for AI workloads.
