Sr Product Manager - AI Cloud

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 Our AI Cloud is the strategic engine that proves our hardware dominance and enables our entire business. We need a Principal Product Manager to define how this cloud drives velocity across our Enterprise, Managed Service, and On-Premise product lines. You will own the strategy for using our cloud to showcase our unique hardware advantages and unlock high-value enterprise use cases. Key Responsibilities Strategic Direction & Business Velocity Unified Cloud Strategy: Define the AI Cloud vision to serve as the enabling vehicle for our two core GTM motions: SambaStack and SambaManaged . Hardware-Software Synergy: Translate our silicon advantages into cloud features and model serving strategies that competitors cannot replicate. Solution Incubation: Identify and incubate unique solution architectures on our cloud that prove high-value use cases for enterprise customers. Product Roadmap & Execution Roadmap Ownership: Drive the end-to-end cloud roadmap towards a cohesive strategy. Prioritize features that solve enterprise inference challenges and enable our partners to build profitable businesses. Model Strategy: Decide what models we serve and why . Align the portfolio to customer use cases and hardware strengths. Technical Definition: Author clear, rigorous PRDs solutions and new features. Lead the software release strategy to ensure consistent delivery. Market Positioning & Economics Value Proposition: Define the narrative. Articulate exactly how our cloud unlocks our sales motions and drive the tactics to lead to success. Tokenomics & Pricing: Master the unit economics of the cloud. Own the cost/margin analysis and pricing strategy to ensure we win deals while protecting business viability. Competitive Intelligence: Maintain deep knowledge of the compute landscape to position our offering effectively against theirs. The Profile 8+ Years Experience: Product ownership in Cloud Infrastructure, AI/ML, or Compute Platforms. Strategic Architect: You understand how a cloud product enables hardware sales. You see the link between API features and deal velocity. AI Native: Deep understanding of the inference market, LLM serving challenges, and the compute provider landscape. Technical & Analytical: You can write a technical PRD, model unit economics, and debate strategy with product and engineering leadership. Ways to Standout Hardware-Software Fluency: Deep understanding of AI accelerators and how hardware architecture dictates inference performance. Inference Market Expertise: Intimate knowledge of the inference landscape—including hyperscalers and specialized providers—and how to effectively position against them. Bottleneck Analysis: Technical ability to identify critical value blockers in AI inference (latency, throughput, cost) and how our cloud solves them. Economic Rigor: Capability to model complex cloud unit economics, including tokenomics, margin analysis, and the P&L impact of optimizations. Enterprise Strategy: Clear vision for enterprise AI adoption, understanding the specific requirements for security, scalability, and managed services. Submission Guidelines Please note that in order to be considered an appl