Product Manager - Campus Recruitment
Beijing-based enterprise AI company building foundation-model, agentic-AI, and AI-transformation products, including the TrueNorth enterprise decision hub.
Funding history
Investors
About 01.AI
01.AI develops full-stack enterprise AI solutions, industry-agent applications, and sovereign/industry model-training capabilities.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will join product planning and design for LLM platforms, agents, Harness and To B AI applications. You will conduct market research, competitor analysis and user research, turn user needs into PRDs and prototypes, define MVP scope and delivery pace, collaborate with algorithm, engineering, design and operations teams, build metric systems, follow LLM and Agent trends, and join customer interviews.
Requirements
- Class of 2027 graduate with bachelor's degree or above; computer, AI, statistics majors preferred
- Passion for LLM and AI industry; understands Prompt, Agent, RAG and is proficient with mainstream AIGC tools
- Strong logical thinking, structured communication and data analysis
- Self-driven, fast learner, strong cross-team collaboration and execution
- Understands To B customer scenarios and adapts to rapid iteration
- Nice to have: AI/To B/SaaS product internship or personal product project; technical understanding; fluent English; AI product, open-source or competition experience; knowledge of Ontology, knowledge graphs and semantic modeling
Responsibilities
- Conduct market research, competitor analysis and user research for LLM platforms, agents, Harness and To B AI applications
- Distill user needs, design product solutions, and produce PRDs and prototypes under your leader's guidance
- Define MVP features and delivery pace
- Collaborate with algorithm, engineering, design and operations teams and track project progress and launch quality
- Help build metric systems for business value, user satisfaction and model performance, and iterate on data and feedback
- Track LLM and Agent technology and industry trends and join product roadmap planning
- Join customer interviews and cross-cultural communication and present product progress to stakeholders
