SES AI · 12 hours ago
Technical Product Manager
SES AI Corp. is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. The Technical Product Manager will lead the product lifecycle for the AI-driven materials discovery platform, translating complex scientific research into actionable deliverables while ensuring alignment across research, engineering, and materials teams.
BatteryElectric VehicleEnergy StorageManufacturingRenewable Energy
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
Qualification
Required
Ph.D. in Computational Chemistry, Computational Materials Science, or a related quantitative field
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
Preferred
Previous experience in relevant high-tech organizations such as Cusp.ai, XtalPi, scientific computing startups, or established AI4Science product teams
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
A track record of successfully bridging scientific research outputs with platform usability and scaling in a production environment
Benefits
Comprehensive health coverage
Attractive equity/stock options program
Company
SES AI
SES AI Corp.
H1B Sponsorship
SES AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (6)
2023 (4)
2022 (3)
2021 (3)
2020 (4)
Funding
Current Stage
Public CompanyTotal Funding
$600.11MKey Investors
Honda MotorHyundai Motor CompanyGeneral Motors
2022-02-04Post Ipo Equity· $275M
2022-02-04IPO
2021-07-05Corporate Round· $100M
Recent News
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