Director of Product, Ecosystem

What you'll do

• Set integration strategy and positioning for RDU across networking, serving, storage, prefill, CPU offload, and compiler ecosystems.
• Develop partner reference architectures, certifications, software integrations, and deployment enablement.
• Drive joint go-to-market, external positioning, and ecosystem performance reporting.

What they ask for

• 10+ years in AI infrastructure, accelerators, or data center systems, including 8+ years in product management with direct ecosystem, platform, or partner-facing product ownership.
• Shipped partner-facing artifacts adopted by external teams, such as reference architectures, certification programs, or integration surfaces.
• Working fluency across the listed infrastructure domains, with depth in at least two; technical depth in network fabric topologies and inference serving stacks.
• Track record converting partnerships into deployments, demand, or revenue; fluency in inference economics and concise executive communication.

Nice to have

• Experience at both a silicon or systems vendor and a model lab or inference provider; experience delivering model-provider co-optimization.
• Contributions to or close working relationships with vLLM, SGLang, llm-d, PyTorch, or MLIR; hardware sales-cycle or joint go-to-market experience.

Pay

$243,000 — $297,000 USD (base salary)

Tools

RDU, Kubernetes, Prometheus, Grafana, vLLM, SGLang, llm-d, PyTorch

AI focus

Shapes the ecosystem and partner strategy for AI inference infrastructure, including RDU integrations, inference-engine co-optimization, model partner work, and compiler and RDU research adoption.