DeepRec.ai
Senior Recruitment Consultant - Hiring Researchers/Scientists In The U.S
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 productised 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.
Locations: Westwood, WA; Wakefield, MA; Boston, MA; Concord, MA; Waltham, MA; Framingham, MA. Salary ranges vary by location.
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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 productised 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.
Locations: Westwood, WA; Wakefield, MA; Boston, MA; Concord, MA; Waltham, MA; Framingham, MA. Salary ranges vary by location.
#J-18808-Ljbffr