Product Leader (Scientific Computing & AI Platform)
Our client is building a sophisticated scientific platform that integrates automated quantum simulation, high throughput data workflows, and advanced machine learning for molecular and materials discovery. They are seeking a Product Leader to shape how these systems evolve and to guide the infrastructure that enables scientists and ML researchers to work seamlessly.
You will define the long-term product vision, design roadmap milestones, and oversee how simulation tools, data pipelines, and AI models come together into a cohesive ecosystem. This includes responsibility for architecting automated DFT pipelines, real time inference systems, continuous integration frameworks, data streaming layers, and evaluation tooling for large scientific models.
You will work across teams of computational chemists, simulation scientists, ML researchers, and software engineers to ensure the platform supports fast experimentation and high reliability. You will help shape neural architectures trained on molecular data, from GNNs to transformer-based models, and guide the integration of physics-based domain expertise into core AI workflows.
This role requires strategic thinking, technical fluency, and comfort balancing scientific constraints with product execution. You will play a central role in defining the infrastructure that accelerates materials research across the organisation.
Ideal Profile:
PhD in a computational field, strong experience leading ML or scientific computing product systems, familiarity with automated quantum simulations, and deep understanding of large-scale AI and data tooling.
