Senior Product Manager

Luminary Cloud•San Mateo, CA

13d

About The Position

The Senior Product Manager will define and execute the product roadmap for Luminary’s Physics AI platform. The platform encompasses synthetic data generation using PINNs, model creation and fine-tuning, model inference, and API access to product capabilities. The role owns roadmap development and works with engineering and field teams to deliver the product, incorporate feedback, and support customer success. This role connects the Research team, which discovers new capabilities, with Forward Deployed Engineering, which works with customers to integrate the tools. It translates customer engineering challenges into prioritized requirements for machine learning and software engineering teams. The product manager will also guide enterprise readiness, including interoperability with legacy CAE software and data management systems, enterprise security, and multi-cloud scalability. For the Engineering Applications layer, the role focuses on intuitive, no-code solutions for engineers and technicians, making it easier to optimize processes and support process control across an enterprise. The position also involves competitive analysis and customer research in sectors such as Aerospace & Defense and Semiconductors to strengthen Luminary’s position in AI-native simulation.

Requirements

Proven experience in one or more relevant technical domains, such as simulation/CAE or applied AI/ML.
Familiarity with computational fluid dynamics (CFD), finite element analysis (FEA), or other physics-based simulation tools.
Experience with geometry manipulation and meshing techniques.
Experience shipping machine learning or data science models in a production environment, including model training, data pipeline management, and validation techniques.
Proven experience building specifications for API-first software.
Prior experience working on highly technical problems with technical customer audiences.
Bachelor’s or Master’s degree in a quantitative or technical field, such as Computer Science, Engineering, Physics, or Mathematics.
Demonstrated ability to define a multi-year product strategy and deliver incremental value in complex, regulated industrial environments.
Exceptional ability to collaborate with specialized teams and turn deep research into practical, scalable product features.
Ability to adapt quickly to new technologies and methodologies.
Strong interpersonal and communication skills, including the ability to articulate technical concepts and collaborate across functions.
Self-driven, entrepreneurial mindset and ability to thrive in a dynamic, rapidly evolving environment.

Nice To Haves

Experience at a startup.
Experience in high-impact sectors such as Aerospace & Defense or Semiconductors.

Responsibilities

Define and execute the product roadmap for the Physics AI platform, including synthetic data generation, model creation and fine-tuning, model inference, and API access.
Drive roadmap development and collaborate with engineering and field teams to deliver the product, gather feedback, and support customer success.
Bridge the Research and Forward Deployed Engineering teams, translating customer engineering problems into clear, prioritized requirements for machine learning and software engineering teams.
Ensure enterprise readiness through interoperability with legacy CAE software and established data management systems, including connectors and API integration.
Maintain a focus on enterprise-grade security and multi-cloud scalability.
Develop intuitive, no-code Engineering Applications for engineers and technicians to enable enterprise-wide optimization and process control.
Conduct competitive analysis and customer research, particularly in Aerospace & Defense and Semiconductors.
Collaborate with specialized teams, including Simulation Engineers, Machine Learning Engineers, and Data Scientists, to turn research into practical, scalable product features.
Define multi-year product strategy and deliver incremental value in complex, regulated industrial environments.
Communicate technical concepts clearly and mentor junior team members.