Senior Product Manager

Senior Product Manager

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.

The Mission

SambaRack is SambaNova's hardware product for inference cloud providers who want direct access to RDU capabilities without adopting SambaNova's opinionated software stack. We need a Senior PM to drive execution - spec the work, coordinate delivery across engineering and field, and ensure SambaRack ships as a coherent, well-documented product that inference clouds can integrate with confidence.

Key Responsibilities

Product Specification & Execution

• Author clear, rigorous PRDs across SambaRack's core work-streams - inference engine integrations, containerized deployment artifacts, and bare metal and Kubernetes deployment paths
• Translate product definition into engineering-ready specifications with well-defined requirements and acceptance criteria
• Own the release roadmap - sequence work-streams, manage dependencies, and drive delivery against commitments

Customer & Field Engagement

• Work directly with customers as they integrate SambaRack - understand their integration challenges, surface product gaps, and feed them back into the roadmap
• Partner with field teams to ensure SambaRack is positioned and sold correctly against the ICP
• Own the feedback loop between early customers and engineering

Documentation

• Own SambaRack's documentation strategy - define what great looks like for a hardware integration product, and hold the team accountable to it
• Define and maintain the supported features list, compatibility matrix, and release notes

Go-to-Market

• Define the integration experience customers should have and hold engineering accountable to it
• Work with sales and marketing to ensure SambaRack's positioning is crisp

The Profile

• 5+ years of product management experience in infrastructure, compute platforms, or AI/ML systems
• Execution-oriented: You know how to take a defined product strategy and drive it to shipped software. You write good PRDs, run tight review cycles, and keep engineering moving
• Technical depth: You can hold a credible conversation with engineers about inference engine architecture, Kubernetes deployment patterns, and observability integrations. You don't need to write the code but you need to understand the tradeoffs
• Customer-facing: You have direct experience working with infrastructure or platform engineering teams during technical integrations or evaluations. You understand their operational priorities and can translate their feedback into product requirements
• OSS-aware: You understand what it means to ship and maintain an open source artifact - community support, release cadence, compatibility commitments, and documentation expectations

Ways to Stand Out

• Inference infrastructure expertise: Deep familiarity with vLLM and how inference engines integrate with accelerator hardware
• Inference cloud fluency: You understand how inference cloud operators think - they want standard interfaces, minimal operational overhead, and hardware that slots into their existing toolchain
• Documentation as product: You treat documentation as a first-class product deliverable, not an afterthought. You know what good looks like for a hardware integration product