About the role

Technical Product Manager leading product vision on AI materials software for battery solutions. Bridging AI research with engineering to drive impactful energy transition projects.

Responsibilities

Define the product vision and manage the roadmap for our AI for materials software, ensuring alignment across the entire organization.
Translate complex scientific research and user needs into clear, customer-driven requirements for the engineering and research teams.
Oversee AI for materials software and research coordination, managing cross-functional deliverables and maintaining feature velocity.
Bridge scientific research and engineering by defining how scientific findings (e.g., from DFT/MD simulations) are integrated into a scalable and usable platform.
Identify opportunities for leveraging ML force-field models and AI molecular modeling to accelerate battery electrolyte design and performance.
Ensure platform usability and scaling by defining requirements that serve both the deep research community and material production teams.
Drive cross-functional alignment and execution across research (Computational Chemistry), core Engineering, and experimental Materials teams within a fast-paced AI and battery/materials organization.

Education: Ph.D. in Computational Chemistry, Computational Materials Science, or a related quantitative field. Emphasis on Computational electrolyte design or interfacial chemistry is highly desirable.
Domain Literacy: Deep technical literacy in Computational Chemistry, including proficiency in DFT and MD simulations for materials analysis.
Product Management Experience: Proven experience as a Science-literate Product Manager overseeing the full software product lifecycle, specifically in the AI4Science or Materials Informatics space.
Cross-Functional Management: Demonstrated experience defining and managing complex roadmaps and coordinating across research, engineering, and materials organizations.
AI/ML Familiarity: Experience working with ML force-field models and other AI molecular modeling techniques.

A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact.
Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.