Principal PM, Product Strategy and Competitive

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.

Responsibilities SambaNova is hiring a Principal Product Manager, Product Strategy and Competitive Intelligence to turn external market intelligence into SambaNova product decisions. The role converts third-party research, competitor disclosures, and benchmark data into roadmap, pricing, and positioning calls, and it builds the AI tooling that keeps that analysis current without a large team behind it.

The person in this role should be able to build a TCO model from primary inputs, read both architecture specifications and financial statements, and be hands-on enough with AI tooling to automate their own research pipeline. This individual will be responsible for: Market intelligence to product inputs Own the pipeline from third-party research (SemiAnalysis TCO, Tokenomics, Accelerator, and Datacenter models; competitor disclosures; benchmark data) to decision-ready analysis.

Maintain the house model of where RDU inference wins on cost per million tokens, at which latency tiers, for which workloads, and against which competitor configurations. Convert TCO, tokenomics, and data center data into roadmap language: feature priorities, pricing moves, and segment bets. Open each product review with a summary of market changes since the last quarter and their implications for SambaNova.

Competitor specifications and roadmaps Track chip-level specifications for NVIDIA, AMD, Google TPU, AWS Trainium, Cerebras, Groq, and emerging accelerators: compute, memory hierarchy (SRAM, HBM, DDR), interconnect, power, process node, and packaging. Track rack- and cluster-level design: scale-up and scale-out topology, networking (NVLink-class fabrics, Ethernet and InfiniBand, optics), storage, cooling, and rack power density.

Track roadmaps: announced parts, credible leaks, and supply signals such as HBM allocation, CoWoS capacity, and foundry node ramps. When a spec or roadmap change moves the TCO or latency frontier, quantify the effect on SambaNova's positioning within a week. Maintain a versioned spec comparison matrix with a changelog. AI tooling for intelligence Build agentic pipelines that monitor research re