Job Responsibilities:

He is fully responsible for the customer-facing product definition, requirements management, and roadmap planning of the Molecular Universe (MU) platform.
Deeply understand  technology trends and customer research pain points in the fields of AI for Science (AI4S), materials science, and computational chemistry, and output implementable product solutions and value propositions.
Accurately grasp customer needs, balance technical feasibility, engineering constraints, and commercialization goals, and formulate product priorities and iterative strategies.
Lead external customer communication, business solution output, technical exchanges, demand exploration and opportunity expansion, and promote the implementation of commercialization paths.
Coordinate customer delivery, customized solution design, localized deployment feasibility assessment, customer training, and technical support.
Work closely with Zhongguancun R&D, engineering, and scientist teams to align product direction, technical capability boundaries, R&D scheduling and customer commitments.
As a senior technical product leader, he outputs industry insights, competitive product analysis, and market strategies to support the company's  AI4S business strategy formulation.
 

Job Requirements:

Bachelor degree or above, major in materials science, chemistry, computational chemistry, AI/machine learning or related science and engineering. 
At least 5 years of experience in AI for Science (AI4S), materials science, computational chemistry, scientific research software-related products, solutions, or technology management, familiar with scientific research and industrial R&D processes.
Possess deep knowledge in the AI4S  field, understanding the application and implementation boundaries of molecular simulation, quantum chemistry, machine learning, and LLM in scientific research scenarios.
Excellent cross-team communication skills can clearly convey complex technical concepts and product values to technology, scientists, and customers.
Experience in customer-side delivery, training, technical support, and requirements management, and familiarity with enterprise-level software localized deployment processes is preferred.
Successful experience in building scientific research/AI products, defining product roadmaps, and outputting customer solutions from 0 to 1 or 1 to N.
Fluent in English and can directly connect with overseas customers and teams.
With strategic thinking, business sensitivity and result-oriented, he is a senior person in charge of technology, product, and business combinations.
Bonus points:

He has customer success or commercialization experience in the fields of AI4Science, material research and development, drug research and development, and new energy materials.
He has experience in  productizing LLM/RAG/Agent in scientific research scenarios.
Experience in cross-border team collaboration, cross-cultural communication, and project management.