Principal Product Manager

Siemens•California, PA
•$200,736 - $271,422•Remote

About The Position

Siemens is hiring a Principal Product Manager to define strategy and architecture for a product domain focused on bringing generative AI into the physical world. The role works across engineering, machine learning, design, and hardware to develop new interfaces and platforms, including intelligent systems that combine models, embodiment, and real-time perception. This is a remote position within Siemens’ product organization focused on generative intelligence and embodied systems. The product leader will operate with high autonomy, translate ambiguous problems into product definitions and scalable architectures, and influence decisions across research and product. The role spans the full product lifecycle, from zero-to-one MVPs through launch and subsequent iteration, with an emphasis on data and feedback loops that improve models and user experience.

Requirements

  • At least 5 years of product management experience, including at least 3 years 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, including experience influencing at the leadership level.
  • Hands-on experience with metrics, experimentation, and iterative development.

Nice To Haves

  • 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 product managers or leading cross-functional pods.

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, machine learning, and research teams to drive cross-functional product delivery.
  • Own the full product lifecycle from zero-to-one MVPs through post-launch iteration.
  • Identify critical data, feedback, and learning loops that enable model and user experience improvement.
  • Represent product strategy to leadership and cross-functional stakeholders.

Benefits

  • Health and wellness benefits.
  • Target incentive of 15% of base salary.
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