Technical Product Manager managing end - to - end product lifecycle for Ford’s VISTA application across European markets. Focused on agile development, team leadership, and product optimization.
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.
Requirements
- 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.
Benefits
- 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.
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