Director of Product, Ecosystem
SambaNova· Core Tech
San Jose, CA$243k - $297kfull-timePosted 1mo ago
About the role
Director-level role focused on defining and executing SambaNova’s ecosystem strategy across scale-out networking, inference serving, storage and caching, prefill compute, agentic CPU offload, and compiler/RDU research. Responsible for ecosystem strategy, partner enablement, core software ecosystem, demand conversion, positioning and education, and delivering a quarterly ecosystem scorecard.
Responsibilities
- Define where RDU integrates into each customer segment's token factory: prefill compute, caching storage, scale-out networking, and agentic CPU offload alongside RDU decode.
- Make explicit build, partner, or ignore decisions for each integration area, write down the reasoning, and revisit it quarterly.
- Anchor positioning on decode economics: tokens per second per user, cost per million tokens, and latency tiers.
- Maintain a versioned ecosystem map with a changelog.
- Publish joint reference architectures for each integration area, with defined integration points next to RDU decode.
- Own certification of RDU against the common cloud-native stack: Kubernetes, Prometheus, Grafana, and managed-stack vendors.
- Ship operators, metrics exporters, dashboards, and integration documentation as maintained products rather than one-off deliverables.
- Treat enablement as complete only when a cloud provider or partner can deploy from the reference architecture without SambaNova engineering support.
- Secure and deliver co-optimization work with inference-engine builders and system-software optimizers so their runtimes run efficiently on RDU.
- Represent SambaNova in PyTorch and MLIR community work.
- Connect SambaNova's compiler and RDU research to the external ecosystem so programmability improvements reach the frameworks and toolchains partners build on.
- Support co-engineering with model partners so flagship open models run fastest on RDU.
- Run joint go-to-market with token-factory partners where the buyer and the data center are shared.
- Own the analyst relationships with Marketing: supply benchmark data to SemiAnalysis and Artificial Analysis and co-develop token-factory reference guidance so buyers' TCO models reflect RDU's decode advantage.
- Feed partner and integration signal into product bets and competitive intelligence, in partnership with the Product Strategy and Competitive Intelligence lead.
- Own external positioning for the core product surface: how networking, serving, storage, prefill, and offload fit together in a token factory.
- Produce internal educational content on the ecosystem for SambaNova teams.
- Deliver a quarterly ecosystem scorecard to the executive team: partner deployments, reference architectures shipped, benchmark results, and partner-attached pipeline.
Qualifications
- 10+ years in AI infrastructure, accelerators, or data center systems, including 8+ years in product management with direct ownership of ecosystem, platform, or partner-facing product.
- Shipped partner-facing product artifacts (reference architectures, certification programs, or integration surfaces) that external teams adopted.
- Bachelor's degree in computer science, electrical engineering, or a related technical field, or equivalent experience.
Skills
Required:Ecosystem strategyPartner enablementTechnical collaboration across stacks
Last updated Sep 13, 2026. Interested? Apply on the company site.
About SambaNova
The Fastest AI Inference Platform
Discover SambaNova - the complete AI platform delivering the fastest AI inference, fine-tuning, and scalable solutions for agentic AI easily integrated into existing data center infrastructures.
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