DeepRec.ai
Product Manager
02298 Boston, MA ·
Master/PhD
DFTMDML Force-field ModelsMaterials-informatics WorkflowsAI
Summary
Product Manager opportunity at DeepRec.ai for postgraduate degree holders. Lead AI-driven materials informatics with expertise in ML force-field models, DFT, MD, and materials-informatics workflows.
Description
Product Manager
We are hiring a Product Manager with deep fluency in computational materials science and AI-driven materials design. You will own the roadmap for advanced materials-AI platforms, bridging scientific R&D, ML engineering, and product delivery. The role combines scientific literacy with strong product execution-translating DFT/MD simulations, ML force-field models, and materials-informatics workflows into scalable product capabilities.
Responsibilities
- Lead product strategy for AI-driven materials modelling (DFT, MD, ML force-fields).
- Drive cross-functional alignment across science, ML, software, and hardware teams.
- Translate complex materials research needs into clear product requirements and deliverables.
- Manage roadmaps, feature definition, timelines, and user workflows across R&D and engineering teams.
- Support computational scientists and battery researchers with productized materials-AI tooling.
Ideal Profile
- PhD in computational electrolyte design, materials modeling, interfacial chemistry, or a related field.
- Hands-on experience with DFT, Molecular Dynamics, ML force-field models, and materials-informatics workflows.
- Experience in AI4Science environments, scientific computing startups, or materials-AI platforms (Cusp.ai, XtalPi, etc.).
- Ability to translate cutting-edge science into product specifications and shipped software.
