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Mat3ra

Cloud-based materials modeling platform for R&D

Community Evangelist

Community ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Prior experience seeding and scaling technical communities.
  • Knowledge of chemistry or materials science; an MS or PhD in Engineering, Computational Chemistry, Computational Biology, Computer Science, or Cheminformatics, or equivalent experience.
  • Ability to learn and apply new concepts rapidly.
  • Strong written and oral communication skills and ability to collaborate effectively with management and engineering.
  • Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products in complex projects.
  • Strong analytical and problem-solving skills.
  • Extreme attention to detail.

Responsibilities

  • Plan and organize marketing activities.
  • Communicate with platform users to solicit feedback.
  • Develop marketing materials, including case studies and publications.
  • Contribute to product design and concept development.
  • Work closely with the product team and relay and explain software concepts.

Desired Qualifications

  • Experience working on advanced electronic structure methods, such as VASP, Quantum ESPRESSO, Gaussian, NWChem, or Siesta, is a plus but not required.
  • Experience with machine learning.

About the Company

Mat3ra

Cloud-based materials modeling platform for R&D

Mat3ra provides an end-to-end, cloud-based materials modeling platform that unifies multiple simulation tools and data for researchers. Researchers design workflows with a web-based designer, run physics-based and AI/ML models on secure high-performance cloud computing, and analyze results. Unlike competitors, it combines engines like Quantum ESPRESSO, VASP, and LAMMPS in one workspace and targets dispersed academic and industrial teams in energy, semiconductors, and manufacturing. Its goal is to accelerate materials discovery by moving R&D into a collaborative, AI-enabled cloud platform.

Company size
1-10
Company stage
Seed
Total funding
$3M
Headquarters
Walnut Creek, CA
Founded
2014

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