Senior Principal Product Manager

Siemens•California, PA
•$236,722 - $320,443•Remote

About The Position

Siemens is hiring a Senior Principal Product Manager to define the strategy and architecture for a key product domain involving generative AI and intelligent systems that merge models, embodiment, and real-time perception. The role works across engineering, machine learning, design, and hardware to develop and launch new product experiences, interfaces, and platforms. It calls for a product leader who can operate in ambiguity, move quickly with conviction, apply a systems-level perspective to AI product development, and influence decisions across research and product. The position is remote and offers high autonomy and context. The product team builds platforms and products beyond screen interfaces, creating intelligent behaviors that respond to voice, vision, and action in real-world environments. Senior Principal Product Managers are expected to define, build, and scale product systems with lasting impact.

Requirements

  • Bachelor's degree.
  • At least 7 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, with 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 20% of base salary.
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