Skip to content

Open nowPosted 234 days ago

具身Agent安全产品经理 (Safety PM)

li/referral788 open roles

Where
Beijing, Chinese Mainland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now具身Agent安全产品经理 (Safety PM)li/referral · Beijing, 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 li/referral'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. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 234 days ago

li/referral median: 1 days open

The posting

【岗位定位】 负责多端语音助手全域安全与数据体系建设,围绕 Agent 在数字对话、任务执行及物理控制中的核心体验,建立统一的数据字典、Session 归因、安全策略,牵引用户洞察和跨团队优化,持续提升语音助手全场景体验、用户活跃与有效对话次数。 【核心职责】 1. 定义标准: 搭建横跨端云的安全评估矩阵,将模糊的“安全感”转化为硬核的量化指标(如:本体执行安全率等); 2. 边界仲裁: 设计端云协同的安全博弈机制,牵引上下游落地安全策略,在指令冲突或环境突变时,确保系统能“优雅降级”; 3. 全域风险管控: 统筹Agent在“3D物理交互”与“多模态数据流转”中的双重风险。既要保障驾驶安全与车辆控制底线,也要构建端侧传感器(视觉/语音等)的隐私保护机制,确保产品符合行业严苛的数据安全合规标准; 4. 架构设计:建立覆盖对话、多模态内容生成、任务执行及物理控制的安全策略与架构设计,建立安全评估体系建立,持续识别并治理高频、高风险体验问题; 5. 建立线上数据的负反馈挖掘机制,持续监控 理想同学 在真实场景下的执行成功率 和 用户体验,形成从问题发现、归因、优化到效果验证的持续经营闭环,推动各业务产品持续优化全场景体验,提升有效对话次数、持续对话率和用户活跃度; 6. 建设语音助手全域数据与归因体系,统一数据字典、核心指标和 Session 级归因框架。

1. 硬核 AI / Agent 背景:具备 3 年以上互联网产品、数据分析或评测相关经验,至少 2 年大模型 / Agent 相关经验;理解 CoT、ReAct、Function Call、Context、Memory、工具调用及任务执行等核心机制。熟悉车载控制、眼镜、多模态感知或空间智能,对物理世界中的 Agent 交互和风险有深入理解; 2. 强数据与归因能力:能够从业务目标出发搭建指标体系、数据字典和 Session 级归因框架,并从复杂对话失败中识别问题究竟来自感知、理解、规划、执行还是交互体验; 3. 极强的逻辑抽象与建模能力:能够将“好用、安全、自然、愿意继续聊”等感性体验,拆解成可量化的体验、质量、安全和用户增长指标,并沉淀成可持续迭代的产品机制; 4. 用户洞察与经营意识:不仅关注单点模型效果,更能结合线上数据、用户反馈和真实 Session 识别影响用户活跃、持续对话和任务完成的关键问题,牵引团队持续提升全场景体验; 5. 安全与边界意识:理解 Agent 从数字对话走向物理控制后的风险变化,能够平衡任务完成、用户体验、物理安全、数据隐私与业务上限; 6. 跨团队影响力:能牵引产品、算法、研发、测试、交互、数据等多团队推进复杂专项,在模型效果、系统稳定、用户体验和投入成本之间做出有效取舍。

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against li/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on li/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    li/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.