Sr Product Manager - AI Cloud

SambaNova is a leader in generative AI platforms, providing innovative solutions for enterprise and government organizations. They are seeking a Principal Product Manager to define the strategy for their AI Cloud, focusing on leveraging hardware advantages and driving business velocity across various product lines.

Responsibilities:

• Define the AI Cloud vision to serve as the enabling vehicle for our two core GTM motions: SambaStack and SambaManaged
• Translate our silicon advantages into cloud features and model serving strategies that competitors cannot replicate
• Identify and incubate unique solution architectures on our cloud that prove high-value use cases for enterprise customers
• 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
• Decide what models we serve and why
• Align the portfolio to customer use cases and hardware strengths
• Author clear, rigorous PRDs solutions and new features
• Lead the software release strategy to ensure consistent delivery
• Define the narrative
• Articulate exactly how our cloud unlocks our sales motions and drive the tactics to lead to success
• Master the unit economics of the cloud
• Own the cost/margin analysis and pricing strategy to ensure we win deals while protecting business viability
• Maintain deep knowledge of the compute landscape to position our offering effectively against theirs

Requirements:

• 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
• 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