Director of AI Infrastructure Ecosystems

SambaNova; San Jose (CA); On-site; USD 243,000 - 297,000; Full time

Benefits offered by this job

Equity

Health insurance

HSA

Dental insurance

Vision insurance

Gympass

Headspace

Job summary

SambaNova is seeking a Director of Product, Ecosystem to shape ecosystem strategy for core products—across scale-out networking, inference serving, storage and caching, prefill compute, and RDU research. You will define integrations, positioning, and partner deployments to drive customer value.

Leading partner enablement, certification programs, and co-engineering with model partners, you will influence platform strategy and ecosystem growth across the AI infrastructure stack.

Qualifications

• 10+ years in AI infrastructure, accelerators, or data center systems.
• 8+ years in product management with direct ownership of ecosystem, platform, or partner-facing product.
• Bachelor's degree in computer science, electrical engineering, or related field, or equivalent experience.

Responsibilities

• Define ecosystem strategy and partner integrations across core SambaNova products.
• Drive reference architectures and certifications with partners.
• Own certification of RDU against cloud-native stack (Kubernetes, Prometheus, Grafana).
• Publish joint reference architectures and ensure deployments without SambaNova engineering support.
• Coordinate co-engineering with model partners to optimize runtimes on RDU.
• Deliver quarterly ecosystem scorecards and partner pipeline to executives.

Skills

AI infrastructure

Product management

Partnership / ecosystem

Networking / inference stacks

Education

Bachelor's degree in CS/EE

Tools

PyTorch

MLIR

Job description

SambaNova is seeking a Director of Product, Ecosystem to shape ecosystem strategy for core products—across scale-out networking, inference serving, storage and caching, prefill compute, and RDU research. You will define integrations, positioning, and partner deployments to drive customer value.

Leading partner enablement, certification programs, and co-engineering with model partners, you will influence platform strategy and ecosystem growth across the AI infrastructure stack.