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Open nowPosted 21 hours ago

AI产品经理（记忆与数据策略方向）

leiniao-ibg/index120 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI产品经理（记忆与数据策略方向）leiniao-ibg/index · Shenzhen, Guangdong, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on leiniao-ibg/index's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. leiniao-ibg/index postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 21 hours ago

leiniao-ibg/index median: 2 days open

The posting

1. 定义用户价值与场景：从拥护访谈、真实数据和失败案例中找出需要跨会话记住的信息，区分当次上下文、用户事实、偏好和经历，明确“少重复、找得到、用得对”的具体任务与验收标准。 2. 设计数据授权与来源规则：梳理眼镜、App及经用户授权接入的数据范围，明确采集、提取、保存和使用的可见状态、授权边界与来源追溯；定义关闭采集、撤回授权及第三方信息的处理方式。 3. 负责记忆写入与更新策略：定义提取、写入、合并、去重、冲突确认和置信度规则，区分原始记录与推断信息；处理时间变化、临时偏好、过期事实及证据不足，定义用户画像的边界。 4. 负责检索召回与交付策略：与算法研发共同设计查询理解、召回、排序、时间范围和上下文注入所需的产品规则；向Agent交付相关记忆及来源、时间和可信度，验证漏召回、误召回及成本、延迟之间的取舍。 5. 做好用户管理与控制：设计记忆查看、搜索、来源解释、更正、删除和遗忘的完整路径，明确原始数据、派生记忆与索引的处理边界。 6. 建立数据与评测闭环：独立构建可运行Demo，利用经授权或脱敏的数据验证假设；建立提取、更新、检索和删除回归样本，结合真实反馈归因问题，推动规则迭代、上线验收与跨模块联调。

1. 保持旺盛好奇心、行动力和成长速度，喜欢追问“用户为什么需要”，愿意亲自体验、访谈和复盘；能用持续尝试与作品证明探索欲和潜力。 2. 能独立vibe coding：熟练使用AI编程工具，将想法做成可运行、可演示的Demo，完成数据接入、策略试验和基本问题排查；能结合真实用户或经授权的数据反馈说明改动依据及验证结果。 3. 理解LLM、上下文与长期记忆的关系，对信息提取、RAG、向量或关键词检索、重排和上下文组织有一手实践，能讲清能力边界、失败原因和适用条件。 4. 具备产品判断和数据分析能力，能够定义正负样本、人工评判标准与分层评测，使用SQL或Python等工具完成必要分析；能区分离线评测改善与用户实际受益。 5. 有从问题发现、方案比较、原型验证到落地复盘的完整实践，能够处理跨会话、多人信息、时间变化和数据删除等边界，不因技术名词复杂而忽视用户感受。 6. 能与算法、研发、设计紧密协作，把模糊需求写成清晰规则、数据约定和验收用例；有责任心，愿意追查真实失败案例，并通过实验推动结论。

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