Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?
We are building intelligent systems that bring generative AI into the physical world - merging models, embodiment, and real-time perception into entirely new product experiences. As a Senior Principal Product Manager, you will define the strategy and architecture for a key product domain, operating across engineering, ML, design, and hardware to invent and launch novel interfaces and platforms.
This is a high-leverage role for a product leader who thrives in ambiguity, moves fast with conviction, and brings a systems-level view of AI product development. You will lead initiatives with significant technical depth, influence decisions across research and product, and help shape how humans will interact with AI agents in dynamic environments.
This position is remote.
You’ll make an impact by:- 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
You will win us over by having the following qualifications:Basic Qualifications- 7+ 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
Preferred Qualifications- Background in machine learning, robotics, or multimodal systems
- Experience leading product in early-stage or zero-to-one product environments
- Familiarity with LLMs, inference systems, feedback pipelines, or agentic frameworks
- Prior experience mentoring other PMs or leading cross-functional pods
