Apply Now
Application opens on company website
Job Description
The role involves leading the development and management of an AI-driven materials discovery platform for advanced battery technology, translating complex scientific research into actionable product roadmaps, and coordinating cross-functional teams in a fast-paced, innovative environment.
Key Responsibilities
- Define and manage the product vision and roadmap for AI-driven materials software.
- Translate scientific research and user needs into clear requirements for engineering and research teams.
- Oversee AI materials software development and coordinate research activities to ensure feature delivery.
- 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.
- Ensure platform usability and scalability for both research communities and material production teams.
- 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.
- 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 product vision and manage the roadmap for AI for materials software, ensuring alignment across the organization.
- Experience overseeing AI for materials software and research coordination, managing cross-functional deliverables, and maintaining feature velocity.
- Experience bridging scientific research outputs with platform usability and scaling in a production environment.
- Ability to identify opportunities for leveraging ML force-field models and AI molecular modeling to accelerate battery electrolyte design and performance.
- Experience defining requirements that serve both the deep research community and material production teams to ensure platform usability and scalability.
- Familiarity with computational tools and modeling related to other material science domains such as aerospace thermal-barrier coatings or thermodynamics modeling in solar-cell materials.
Benefits & Perks
highly competitive salary
comprehensive health coverage
attractive equity stock options program
opportunity to contribute to meaningful scientific projects with broad public impact
dynamic, collaborative, and innovative work environment
significant opportunities for professional growth and career development
access to state-of-the-art facilities and proprietary technologies
Ready to Apply?
Join SES and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More at SES
More jobs at SES
Computational Chemist ReaxFF
SES
Woburn
Full Time
Dec 25
Senior Computational Materials Scientist
SES
Woburn
Full Time
Oct 31
$150k-250k
Senior Material Engineer
SES
Shanghai
Full Time
Oct 31
More jobs in Woburn, Massachusetts
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY_TO_PERMANENT
Dec 16
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY
Jan 1
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY_TO_PERMANENT
Dec 25