Senior Principal AI Product Leader – Remote

Siemens AG; Cypress (CA); Hybrid; USD 197,000 - 267,000; Full time

Job summary

Siemens AG in California is seeking a Senior Principal Product Manager to define strategy and architecture for an AI-native platform, working across engineering, ML, design, and hardware to create novel interfaces and experiences.

This high-ambition role requires moving fast with conviction, navigating ambiguity, and delivering end-to-end product lifecycle from zero-to-one MVPs to post-launch iterations, with opportunities to influence leadership and shape how humans interact with AI agents.

Qualifications

• 10+ years of product management experience with at least 3 in AI/ML, developer platforms, or deeply technical domains.
• Demonstrated success launching platform-level or technically complex products.
• Ability to define architecture-level tradeoffs and work across research and production teams.
• Strong written and verbal communication skills, with experience influencing at the leadership level.
• Hands-on experience with metrics, experimentation, and iterative development.

Responsibilities

• Defining product vision, strategy, and roadmap for an AI-native platform, interface, or product line.
• Translating open-ended problems into structured product definitions and scalable architectures.
• Partnering with engineering, ML, and research to drive cross-functional product delivery.
• Owning the full product lifecycle from zero-to-one MVPs to post-launch iteration.
• Identifying critical data, feedback, and learning loops that enable model and UX improvement.
• Representing product strategy to leadership and cross-functional stakeholders.

Skills

Product management

AI/ML

Platform-level products

Architecture decisions

Leadership influence

Metrics & experimentation

Communication

Job description

Siemens AG in California is seeking a Senior Principal Product Manager to define strategy and architecture for an AI-native platform, working across engineering, ML, design, and hardware to create novel interfaces and experiences.

This high-ambition role requires moving fast with conviction, navigating ambiguity, and delivering end-to-end product lifecycle from zero-to-one MVPs to post-launch iterations, with opportunities to influence leadership and shape how humans interact with AI agents.