Jobs / United States / Sambanova Systems INC
Director of Product, Ecosystem
Sambanova Systems INC · 🇺🇸 San Jose, California, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 23 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Sambanova Systems INC paid sponsored hires in similar roles1 certified filing for “Director, Engineering” (Architectural and Engineering Managers) in CA: $249k–$249k, median $249k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Sambanova Systems INC
The US Department of Labor certified 23 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Sambanova Systems INC →
About the role
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for enterprises, AI labs, service providers, neo-clouds, and sovereign AI initiatives worldwide. SambaStack combines rack-scale hardware, optimized open-source models, and a serving platform to enable customers to deploy state-of-the-art models with superior performance, lower total cost of ownership, and rapid time to value. Built on SambaNova’s Reconfigurable Dataflow Unit (RDU), its dataflow architecture delivers low-latency, high-throughput inference on large models, with industry-leading decode performance that is especially impactful for agentic workloads such as multi-turn agents, code generation, and long-running applications. Responsibilities SambaNova is hiring a Director of Product, Ecosystem to shape 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: defining which integrations to pursue, how we position them, and how partners deploy them. Customers deploy RDU in token factories alongside other vendors' hardware and software. This role will define how RDU fits across the stack, drive the reference architectures and certifications that partners build on, and turn those integrations into customer demand. It’s an opportunity to shape how SambaNova fits into the broader AI infrastructure ecosystem and set the partner strategy that domain product managers and engineering teams execute against. 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 engineering support. Core software ecosystem • Secure and deliver co-optimization work with inference-engine builders (vLLM, SGLang, llm-d) 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. Demand conversion • Run joint