Agent AI Product Manager

About Us / 关于我们

Join Digital Labs, a digital product and engineering team building AI-native products, platforms, workflows and tools for complex enterprise applications. We combine product design, software engineering, data science, and applied AI to solve real business problems.

Digital Labs是一支面向复杂企业场景打造 AI 原生原生平台、流程自动化和智能工具的产品与工程团队。我们融合产品能力、软件工程、数据科学与应用 AI，将业务问题转化为可在真实工作流中使用的可靠产品

Role Description / 职位描述

As an Agent AI Product Manager, you will lead agentic AI use cases from discovery to product prototype, build, launch, adoption, and iteration. You will work deeply with engineers, data scientists, designers, and business teams to define high-value agent workflows, validate feasibility, shape product architecture, and ship AI-powered tools that transform how teams work.

作为 Agent AI 产品经理，您将负责 agentic AI 场景从需求发现、产品原型设计、构建、发布、用户采纳到持续迭代的端到端落地。您将与工程师、数据科学家、设计师和业务团队深度协作，定义高价值智能体工作流，验证技术可行性，参与产品架构设计，并交付能够改变和提升团队工作方式的 AI 产品

We are looking for engineering-minded PMs who can reason about systems, APIs, data flows, model behavior, evaluation quality, and operational constraints while still owning user value and business outcomes.

该岗位适合具备工程思维的产品经理：既能理解系统、API、数据流、模型行为、评估质量和运营约束，也能持续负责用户价值和业务结果

What You’ll Own / 工作职责:

· Own agentic AI product strategy, roadmap and end-to-end delivery

负责 agentic AI 产品的战略、路线图与交付

· Identify high-impact business workflows where AI agents can create measurable value; translate ambiguous problems into clear product hypotheses, user journeys, requirements, and success metrics.

识别 AI 智能体能够创造可衡量价值的高影响业务流程；将模糊问题转化为清晰的产品假设、用户旅程、需求和成功指标

· Partner closely with engineering on agent architecture, tool use, APIs, data integrations, permissions, human-in-the-loop checkpoints, logging, observability, and operational guardrails.

与工程团队紧密协作，定义智能体架构、工具调用、API、数据集成、权限、HITL检查点、日志、可观测性等

· Lead rapid prototyping, user pilots, evaluation design, and iteration; review agent behavior, identify failure modes, and decide thresholds for production

推动快速原型、用户试点、评估设计和迭代；评审智能体行为，识别失败模式，并判断产品何时适合生产上线

· Drive cross-functional alignment across business, operations, security, design, data, and engineering so AI products are useful, safe, scalable, and adopted in daily work

推动业务、运营、安全、数据和工程团队协同，确保 AI 产品有用、安全、可扩展，并能融入日常工作

· Manage launch, enablement, feedback loops, and continuous improvement; track outcomes such as adoption, time saved, task completion, accuracy, reliability, escalation rate, and user trust

负责发布、赋能培训、反馈闭环和持续改进；跟踪采用率、节省时间、任务完成率、准确性、可靠性、升级处理率和用户信任度等结果

Key Qualifications / 任职要求:

· 3-6 years of product management experience, preferably building AI, data, platform, developer tool, automation, or enterprise workflow products from concept to launch

3-6 年产品管理经验，优先考虑具备 AI、数据、平台、开发者工具、自动化或企业工作流产品从概念到上线经验的候选人

· Bachelor or Master’s degree in Engineering, Computer Science, Data Science, Information Systems, or other technical majors is strongly preferred; ability to discuss technical tradeoffs with engineers is required

优先考虑工程、计算机科学、数据科学、信息系统或其他技术背景；能够与工程师讨论技术方案

· Practical understanding of LLM and agentic AI concepts, including prompting, retrieval (RAG), tool calling, orchestration, memory, evaluation, guardrails, and model failure modes

实际理解 LLM 与 agentic AI 概念，包括提示词、检索/RAG、工具调用、编排、记忆、评估、护栏和模型失败模式

· Hands-on familiarity with product and engineering tools including Jira, Confluence, Figma, GitHub/GitLab, API documentation, analytics dashboards, and observability tools. Familiar in vibe coding (e.g. Cursor, Claude Code)

熟悉 Jira、Confluence、Figma、GitHub/GitLab、API 文档、数据分析看板和可观测性工具等产品与工程协作工具, 熟悉AI编程

· Proven ability to turn messy business workflows into clear product design, system flows, user stories, acceptance criteria, evaluation plans, prioritized backlogs, and measurable outcomes.

能够将复杂业务流程转化为清晰的产品设计、系统流程、用户故事、验收标准、评估计划、优先级清晰的待办列表和可衡量结果

· Strong collaboration skills with cross-functional teams and stakeholders in fast-moving, ambiguous environments.

能够在快速变化和不确定环境中，与跨团队成员和业务利益相关者高效协作

· Excellent written and verbal communication skills in Chinese and English, with the ability to explain AI product behavior, limitations, risks, and business value clearly

具备出色的中英文书面和口头沟通能力，能够清晰解释 AI 产品行为、限制、风险和业务价值