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SambaNova Systems

Sr Product Manager - AI Cloud

Reposted Yesterday
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In-Office
San Jose, CA, USA
Senior level
In-Office
San Jose, CA, USA
Senior level
Own AI Cloud strategy and roadmap to showcase hardware advantages, define served models and pricing/tokenomics, write technical PRDs, drive cloud features for enterprise inference, incubate solution architectures, and align product with sales and partner motions to accelerate deals.
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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 applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

HQ

SambaNova Systems Palo Alto, California, USA Office

Our Palo Alto office is in a tech complex known for incubating research facilities and borders the Bay Trail along the Don Edwards Wildlife Refuge. Only a 5-minute walk, our employees often fly out of PAO for lunch with colleagues or enjoy happy hour at the nearby Palo Alto Country Club.

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