Junior Product Manager, DevOps and AI
Plan and design an enterprise-grade AI-native engineering platform by translating engineering lifecycle scenarios into structured product solutions, implementing AI agent capabilities, integrating AI with engineering systems, and evaluating product effectiveness.
Responsibilities
- Participate in product planning, requirement analysis, and solution design for the AI-native engineering platform.
- Translate end-to-end engineering lifecycle scenarios and collaboration patterns into structured product solutions.
- Implement AI agent capabilities for requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation.
- Integrate AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms.
- Establish product effectiveness evaluation, user-feedback, and continuous-optimization mechanisms.
- Support product scale-up from pilot validation to broad adoption.
Requirements
- Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- Software Engineering or Computer Science background.
- Familiarity with mainstream AI coding products, including Claude Code, Codex, Cursor, and Copilot.
- Understanding of context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations.
Benefits
- Education subsidy
- Team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants