Senior Product Manager

Siemens•California, PA

7h•$167,443 - $226,073•Remote

About The Position

Siemens is hiring a Senior Product Manager to define, ship, and scale product experiences that bring generative AI into the physical world by combining models, embodiment, and real-time perception with intuitive, responsive interfaces. The role owns a core product area end-to-end, from customer discovery through roadmap development and delivery, with accountability for outcomes. It calls for strong technical product instincts, close collaboration with engineers and ML researchers, and a bias for execution. The position has no formal people-management responsibilities, but requires cross-functional leadership and the ability to influence engineering, research, business, design, operations, and go-to-market teams. The role is remote and permanent, and is listed as full-time. The stated annual pay range is $167,443–$226,073, with a target incentive of 10% of base salary. Actual pay may vary based on budget and candidate qualifications and experience, among other factors.

Requirements

At least 5 years of product management experience, including ownership of complex or technical product areas.
Proven success delivering customer-facing products from inception through launch.
Ability to write detailed product specifications and work closely with engineering teams.
Strong communication and analytical skills.
Familiarity with generative AI technologies, developer tooling, or ML-driven products.
Demonstrated ability to operate independently and drive outcomes in fast-paced, ambiguous environments.

Nice To Haves

MBA.
Background in computer science, engineering, or a quantitative discipline.
Experience with product development in AI/ML, robotics, or hardware-integrated systems.
Familiarity with prompt engineering, model evaluation, or fine-tuning workflows.
Experience in early-stage environments, with a track record of zero-to-one product development.

Responsibilities

Own the strategy and roadmap for a major product surface or interaction model, with end-to-end accountability for outcomes and delivery.
Lead cross-functional teams, including engineering, ML, and design, to define product requirements and deliver high-quality experiences.
Translate user and market needs into clear, actionable product specifications.
Define and monitor success metrics, and iterate rapidly based on insights.
Collaborate across design, research, operations, and go-to-market.
Lead complex, multidisciplinary initiatives across functions, driving alignment and execution without direct authority.
Manage ambiguity and complexity while driving clarity and execution.