Lead the technical strategy and project execution for CuspAI in Singapore, managing local teams and translating commercial needs into technical solutions. Drive growth and partnerships while ensuring alignment with global strategies.

Own product requirements, roadmap, and onboarding for partner laboratories integrating experimental workflows, instruments, data systems, and closed-loop campaigns into the CuspAI platform. Translate scientific needs into engineering requirements, validate lab implementations, define data provenance and quality standards, collaborate with ML researchers on optimization campaigns, and establish reusable onboarding patterns and success metrics. The role involves close collaboration with materials scientists, engineers, external labs, and regular travel.

Build and lead scientific developer relations for an AI materials platform. Engage technical partner organizations, advise computational chemists and materials scientists, run technical workshops and demonstrations, create documentation, notebooks, APIs, and reference materials, and relay partner feedback to AI research, chemistry, and product teams. Collaborate with marketing on technical case studies and content. The role requires strong materials science or related expertise, computational chemistry or Python experience, technical communication skills, and regular travel.