Principal Product Manager

The role

You will own the model and capability roadmap end to end. You will act as a technical product owner and subject-matter expert on models, performing hands-on testing, building prototypes, and driving cross-functional launches.

What you will do

• Own and drive the model stack rank and per-chip roadmap
• Turn priorities into dated commitments and run model launches
• Maintain the model roadmap and dashboard for executives and customers
• Define the feature-completeness framework and manage capability gaps
• Set acceptance criteria and evals with QA and Solutions
• Test new models through prompts, agentic tasks, and feature checks
• Build quick demos, prototypes, and product mock-ups
• Track the open-weight model landscape and market intelligence
• Represent customer demand in the roadmap ranking
• Understand competitive positioning against GPU clouds and inference providers

Required qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Machine Learning or a related technical field
• 7+ years of combined experience in product management and technical roles (ML engineering, solutions engineering, research)
• 3+ years as a PM on AI/ML, developer or infrastructure products
• Strong working knowledge of LLMs: transformer and MoE architectures, inference trade-offs, and features such as function calling, structured output and reasoning
• A track record of owning a roadmap and shipping
• Comfort with data: building prioritization models, dashboards and scorecards
• Ability to query an API or change a Python script
• Hands-on with models: calling model APIs, running evals and building simple prototypes or mock-ups (Python, notebooks or lightweight UI tools)
• Excellent written and verbal communication

Nice to have

• Product experience at an inference provider, model lab, AI cloud or AI hardware company
• Hands-on familiarity with inference stacks (vLLM, SGLang, TensorRT-LLM) and OpenAI/Anthropic-compatible APIs
• Experience designing evals and benchmark methodology for model quality and feature conformance
• A background as an ML or solutions engineer before moving into product
• Experience with enterprise, sovereign AI or public-sector customers
• An active presence in the open-source model community

Benefits

• Base salary plus equity
• 95% premium coverage for employee medical insurance
• 77% premium coverage for dependents
• Health Savings Account (HSA) with employer contribution
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
• Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care
• Headspace subscription
• Gympass+ membership
• One Medical membership
• Counseling services with an Employee Assistance Program

Before you apply

• You must submit an application form for each position for which you believe you are qualified

About the company

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide.