SW Product Manager

Description and Requirements Job Responsibilities: Responsible for planning and delivery of agent product features or sub-modules, including user research, scenario breakdown, PRD, feature tracking, release coordination, and iteration improvement. Identify and refine agent use cases in specific scenarios (e.g., office or home), and drive the implementation from PoC/demo to production with defined success metrics. Define agent capabilities and experience details, including task flow design, interaction patterns, memory usage, context handling, tool integration, and fallback logic. Work closely with RD teams to integrate model capabilities, on-device inference, knowledge bases, and workflow features into product features. Contribute to product materials such as demos, solution documentation, and feature introductions; support customer feedback collection and iterative optimization. Track developments in LLMs, agents, and AI product trends, and translate insights into feature-level improvements and proposals. Job Requirements: 1–3 years of experience as a software product manager with AI-related products. Good understanding of Agentic AI applications and familiarity with concepts such as agent workflows, memory, or multi-turn interaction. Awareness of on-device or hardware-related constraints (e.g., latency, performance, connectivity, privacy), with the ability to reflect them in feature design. Ability to write structured PRDs, feature specs, and basic product documentation with guidance. Good cross-functional collaboration skills and ability to work with engineering, design, and other teams to deliver assigned modules. Good communication skills in English for daily work. Strong learning agility, ownership mindset, and willingness to take initiative in problem-solving. Interest in AI-native products and hands-on mindset; experience in using AI tools (e.g., coding copilots or agent tools) for prototyping or productivity improvement.