Director of Product, Ecosystem

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

SambaNova builds the RDU, a dataflow accelerator for AI inference, and delivers it as rack-scale systems for on-premises deployment, as managed capacity in partner data centers (SambaManaged), and as an API (SambaCloud). Our customers are clouds, governments, and enterprises building token factories: data center capacity dedicated to running agentic AI workloads. The RDU's advantage is in decode, and it is increasingly deployed alongside GPUs that handle prefill.

SambaNova earns revenue from that advantage only if three things happen: the right models run on the platform at the right time, the surrounding ecosystem of serving engines, networking, storage, and orchestration treats RDU as a first-class target, and the company concentrates its engineering on the bets with the highest payoff. Core Product is the team responsible for those three things. It decides what SambaNova builds and why, grounds those decisions in benchmarks, competitive intelligence, and unit economics, and partners with engineering to see them through to release.

SambaNova is hiring a Director of Product, Ecosystem to own ecosystem strategy for our core products across scale-out networking, inference serving, storage and caching, prefill compute, agentic CPU offload, and compiler and RDU research: which integrations we pursue, how we position them, and how partners deploy them. Customers deploy RDU in token factories alongside other vendors' hardware and software. This role decides how RDU integrates at each layer, ships the reference architectures and certifications partners deploy from, and converts that work into demand. It sets the partner strategy that domain product managers and engineering execute within. This individual will be responsible for:

Ecosystem strategy

• 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.

Partner enablement

• 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