• Hands-on experience productizing LLM / RAG / Agent workflows
• 5+ years of exp in product management within AI4S
• Successful track record of building AI products from 0 to 1 or 1 to N

Our client is an NYSE-listed global pioneer driving the commercialization of high-energy-density Lithium-
Metal batteries and proprietary AI-for-Science (AI4S) software platforms. Headquartered in the US, the
company operates world-class R&D, advanced manufacturing, and AI software hubs across Mainland China,
South Korea, Singapore and Hong Kong.

Job Responsibilities:

• Product Ownership: Take end-to-end responsibility for client-facing product definitions, requirement
  management, and roadmap planning for the Molecular Universe (MU) platform.
• Industry Insights & Value Proposition: Deeply understand tech trends and client pain points within AI
  for Science (AI4S), materials science, and computational chemistry; translate these into actionable
  product solutions and strong value propositions.
• Prioritization & Strategy: Accurately grasp client needs while balancing technical feasibility,
  engineering constraints, and commercial goals to formulate product priorities and iterative strategies.
• Commercialization & BD Support: Spearhead external client communications, commercial proposal
  delivery, technical exchanges, requirement gathering, and opportunity expansion to drive the
  commercialization path forward.
• Delivery & Localization: Coordinate client deliveries, custom solution designs, localized deployment
  feasibility assessments, client training, and ongoing technical support.
• Cross-Regional Collaboration: Work seamlessly with the Zhongguancun (Beijing) R&D, engineering,
  and scientist teams to align product direction, technical capability boundaries, development
  schedules, and client commitments.
• Strategic Advisory: Act as a senior technical product leader to provide industry insights, competitor
  analysis, and market strategies to support the formulation of the company’s broader AI4S business
  strategy.

Job Requirements:

• Bachelor’s degree or above in Materials Science, Chemistry, Computational Chemistry,
  AI/Machine Learning, or related STEM fields.
• Experience: 5+ years of experience in product management, solution architecture, or technical
  management within AI for Science (AI4S), materials science, computational chemistry, or scientific
  research software; deep familiarity with academic and industrial R&D workflows.
• Domain Expertise: Possess profound knowledge in the AI4S domain; thoroughly understand molecular
  simulation, quantum chemistry, machine learning, and the application boundaries/implementation of
  Large Language Models (LLMs) in scientific research scenarios.
• Communication: Exceptional cross-team communication skills, with the ability to articulate complex
  technical concepts and product values clearly to developers, scientists, and clients alike.
• Client-Facing Delivery: Proven experience in client-side delivery, training, technical support, and
  requirement management; familiarity with enterprise software localized deployment processes is
  highly preferred.
• Product Lifecycle: Successful track record of building scientific/AI products from 0 to 1 or 1 to N,
  defining product roadmaps, and delivering client-facing solutions.
• Language: Fluent in English, with the ability to interface directly with global clients and international
  teams.
• Mindset: Equipped with strategic thinking, commercial acumen, and a results-oriented mindset; a true
  hybrid leader blending technical, product, and commercial capabilities.

Preferred Qualifications:

• Experience in Customer Success or commercialization within AI4Science, materials R&D, drug
  discovery, or new energy/battery materials sectors.
• Hands-on experience productizing LLM / RAG / Agent workflows within scientific research settings.
• Experience in cross-border team collaboration, cross-cultural communication, and global project
  management.