Hybrid Technical Product Manager

at SES AI Corp

• Job title: Technical Product Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Woburn, United States

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.