CuspAI
CuspAI
CuspAI is a Cambridge, UK–based artificial intelligence and materials science company developing faster ways to discover and design novel materials. Its AI Materials Foundry connects materials scientists with industrial laboratories, data and computing partners, and integrated lab workflows to support B2B materials discovery. The company focuses on applications including semiconductors, energy storage, catalysts, separations, and other advanced manufacturing fields, placing its work at the intersection of AI, scientific research, and industrial technology.

Scientific Developer Relations Manager — CuspAI, United States (Hybrid)

CuspAI is seeking a Scientific Developer Relations Manager to help partners apply its AI platform to advanced materials challenges. The role develops technical resources, leads workshops, and builds scientific partnerships supporting semiconductor and sustainability innovation.

Description

  • Serve as the primary technical and scientific contact for partner technical leaders, computational chemists, and materials scientists
  • Guide partners in using CuspAI’s AI platform to address complex materials science problems
  • Deliver advanced technical workshops, code-alongs, and scientific demonstrations for expert external audiences
  • Create scalable developer resources, including technical documentation, sample notebooks, APIs, and reference materials for advanced materials workflows
  • Connect community events with hands-on technical support to help partners complete Discovery Sprints successfully
  • Work with AI Research, Computational Chemistry, and Product teams to turn partner feedback into platform development priorities
  • Collaborate with Marketing and PR on deep-tech case studies, whitepapers, and technical blog content
  • Initially work closely with the Foundry Partnerships Manager to engage technology and industry partners and convert materials science needs into platform solutions

Requirements

  • Demonstrated interest in using frontier AI to transform materials science
  • Strong academic training or equivalent professional experience in materials science, chemistry, physics, or electrical engineering
  • Practical experience with computational chemistry tools, molecular simulation software, or Python-based data science workflows such as PyTorch, ASE, or RDKit
  • Track record in developer relations, technical partner engineering, or application science
  • Experience in a high-growth startup, deep-tech organization, or advanced materials company is preferred
  • Clear, confident, and engaging communication skills for technical audiences
  • Ability to turn abstract scientific ideas and complex AI platform workflows into clear, actionable guidance
  • Experience running joint developer or research ecosystem programs with major hardware technology companies is a plus
  • Background at a semiconductor foundry, design firm, or electronics materials supplier is a plus
  • Fluency in an additional language such as Japanese, Korean, or German is a plus
  • Knowledge of crystallography, materials properties, and advanced machine learning models for property prediction is a plus

Benefits

  • Equity participation in CuspAI
  • 28 days of annual leave in Germany, the Netherlands, and the United Kingdom, or 21 days in Japan, Singapore, and the United States, plus local public holidays
  • 26 weeks of fully paid parental leave for primary caregivers
  • 12 weeks of fully paid parental leave for secondary caregivers
  • Budget for professional development
  • Opportunity to address significant materials science, sustainability, and climate challenges
  • Interdisciplinary collaboration across AI research, computational chemistry, and experimental science teams

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