Senior AI Platform Product Manager (Remote)

Siemens AG; Fremont (CA); Remote; USD 201,000 - 271,000; Full time

Benefits offered by this job

Health and wellness benefits

Job summary

Siemens AG in the United States is seeking a Senior Principal Product Manager to define the strategy and architecture for a key AI-native product domain, working across engineering, ML, design, and hardware to create novel interfaces and platforms.

This role demands navigating ambiguity, moving fast with conviction, and leading cross-functional teams from zero-to-one MVPs through post-launch iterations, shaping how humans interact with AI agents in dynamic environments.

Qualifications

• 7+ years in product management, with at least 3 in AI/ML 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

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

Skills

AI/ML product management

Platform-level products

Cross-functional leadership

Architecture-level tradeoffs

Leadership communication

Metrics & experimentation

Job description

Siemens AG in the United States is seeking a Senior Principal Product Manager to define the strategy and architecture for a key AI-native product domain, working across engineering, ML, design, and hardware to create novel interfaces and platforms.

This role demands navigating ambiguity, moving fast with conviction, and leading cross-functional teams from zero-to-one MVPs through post-launch iterations, shaping how humans interact with AI agents in dynamic environments.