Senior AI Platform Product Leader (Remote)

Siemens AG; Bellevue (WA); Remote; USD 167,000 - 226,000; Full time

Job summary

Siemens AG in Bellevue, WA, is seeking a Senior Principal Product Manager to define strategy for an AI-native platform, working across engineering, ML, design, and hardware. You will shape product interfaces, lead from concept to MVP, and guide cross-functional teams through complex AI product development in a remote-capable role.

You will drive architecture-level tradeoffs, own the lifecycle, and partner with research to improve model performance and user experience.

Qualifications

• 7+ years of product management experience, including AI/ML.
• Experience launching platform-level or complex products.
• Ability to define architecture-level tradeoffs and collaborate across teams.
• Excellent written and verbal communication with leadership influence.
• 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.
• Represent product strategy to leadership and cross-functional stakeholders.

Skills

Product management

AI/ML

Leadership

Metrics

Communication

Job description

Siemens AG in Bellevue, WA, is seeking a Senior Principal Product Manager to define strategy for an AI-native platform, working across engineering, ML, design, and hardware. You will shape product interfaces, lead from concept to MVP, and guide cross-functional teams through complex AI product development in a remote-capable role.

You will drive architecture-level tradeoffs, own the lifecycle, and partner with research to improve model performance and user experience.