Scientific Product Manager
Core
Bridge partner labs and their experimental workflows onto the CuspAI platform by translating scientific needs into engineering requirements and managing lab integrations.
Role type
Scientific Product Manager (Materials Science & AI)
Builds
AI-driven experimentation workflows, instrument integrations, and closed-loop optimization campaigns for partner labs.
Domain
Materials Science, AI/ML, High-throughput experimentation
Deliverable
production ML models
Required skills
PhD in Materials Science/Chemistry/Physics/Chemical Engineering, Hands-on experience with high-throughput/automated experimentation, Translating scientific needs to engineering requirements, Understanding of experimental data production and metadata, Depth in at least one materials domain (e.g., semiconductors, batteries, catalysis), Python for data handling and APIs
Preferred skills
Closed-loop optimization (Bayesian, active learning), LIMS/ELN systems and FAIR data standards, Instrument integration experience, Product/project management experience, Industry or national lab experience
Technologies
Python, APIs, LIMS, ELN, Bayesian optimization, Active learning
Responsibilities
Shape and prioritize the roadmap for experimental data and instrument integrations, Lead technical discovery and onboarding for partner labs, Design and validate closed-loop optimization campaigns with ML researchers, Act as the main scientific counterpart for partner labs
Seniority
Senior, hands-on IC
