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Job Description
This role involves leading the development and management of an AI-driven materials discovery platform for advanced battery technologies, bridging scientific research with engineering to accelerate material innovation and battery performance.
Key Responsibilities
- Define and manage the product vision and roadmap for AI-driven materials discovery software.
- Translate scientific research and user needs into clear requirements for engineering and research teams.
- Oversee coordination of AI for materials software development and research activities.
- Integrate scientific findings into scalable, usable platforms for research and production.
- Identify opportunities to leverage ML force-field models and AI molecular modeling to enhance battery electrolyte design.
- Drive cross-functional alignment and execution across research, engineering, and materials teams.
Requirements
- Ph.D. in Computational Chemistry, Computational Materials Science, or a related quantitative field, with an emphasis on Computational electrolyte design or interfacial chemistry being highly desirable.
- Deep technical literacy in Computational Chemistry, including proficiency in DFT and MD simulations for materials analysis.
- Proven experience as a Science-literate Product Manager overseeing the full software product lifecycle, specifically in the AI4Science or Materials Informatics space.
- Demonstrated experience defining and managing complex roadmaps and coordinating across research, engineering, and materials organizations.
- Experience working with ML force-field models and other AI molecular modeling techniques.
- Ability to translate complex scientific research and user needs into clear, customer-driven requirements for engineering and research teams.
- Ability to define requirements that serve both the deep research community and material production teams to ensure platform usability and scaling.
- Experience managing the product lifecycle for AI-driven materials discovery platforms and overseeing AI for materials software and research coordination.
- Strong cross-functional leadership skills to drive alignment and execution across research, core engineering, and experimental materials teams within a fast-paced AI and battery materials organization.
Benefits & Perks
highly competitive salary
robust benefits package including comprehensive health coverage
attractive equity stock options program
opportunity to contribute to meaningful scientific projects with broad public impact
work in a dynamic, collaborative, and innovative environment
significant opportunities for professional growth and career development
access to state-of-the-art facilities and proprietary technologies
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