Teams at CuspAI

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

Lead technical enablement and scientific advisory for partners adopting CuspAI's platform. Engage computational chemists and materials scientists, run workshops and code-alongs, create advanced developer resources (docs, notebooks, APIs), and drive cross-functional feedback into AI research and product. Support partner discovery sprints and co-author deep-tech content to showcase materials breakthroughs.

Lead global partnership efforts for CuspAI's AI Materials Foundry by building partner frameworks, coordinating cross-cultural operations across Europe, USA, and APAC, managing stakeholder engagement and timelines, and channeling partner feedback into product and research priorities while supporting events, marketing, and PR to accelerate platform adoption.