AI Product Manager, Life Sciences

ManagerOn-site
CompanyPatsnap
LocationShanghai, Shanghai Shi, China
CategorySoftware Engineering
DepartmentProduct & Engineering: Life Sciences
SeniorityManager
WorkplaceOn-site
Posted2026-08-17
Viarecruitee

Description

About the Role

Patsnap is transforming professional knowledge work with AI. Built on our deep expertise in global patent, scientific, R&D, and life sciences data, we are developing AI Agent products for complex workflows such as drug discovery research, scientific literature analysis, competitive intelligence, and R&D decision-making.

We are looking for an AI Product Manager who can connect user needs, life sciences workflows, and AI capabilities to build products that deliver real business value to pharmaceutical companies, biotech companies, research institutions, and other life sciences organizations.

Responsibilities

1. AI Product Strategy & Design

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Understand user needs and professional workflows across pharmaceutical R&D and life sciences, and identify high-value opportunities for AI transformation.

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Define product vision, requirements, prototypes, and roadmaps, and drive execution from concept to launch.

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Prioritize product development based on customer feedback, product data, and business impact.

2. AI × Life Sciences Workflows

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Translate workflows such as drug discovery research, scientific literature review, target and drug analysis, clinical evidence analysis, and competitive intelligence into effective AI-powered product experiences.

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Work closely with AI engineers, developers, data teams, and life sciences experts to turn scientific knowledge and professional workflows into scalable product capabilities.

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Understand the strengths and limitations of LLMs, RAG, Agents, and related AI technologies, and continuously improve product accuracy, reliability, and usability.

3. Go-to-Market & Commercialization

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Define target users, key use cases, product positioning, and value propositions for pharmaceutical, biotech, and research customers.

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Develop product demos, customer scenarios, and ROI cases to support product adoption and key sales opportunities.

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Work with Sales, Marketing, and Customer Success teams to collect market feedback, build customer success stories, and improve product commercialization.