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Open nowPosted 76 days ago

用户运营产品经理-深圳

anker-in/campushirecn495 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now用户运营产品经理-深圳anker-in/campushirecn · 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 anker-in/campushirecn'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. anker-in/campushirecn 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 76 days ago

anker-in/campushirecn median: 1 days open

The posting

你将参与： 1. 负责智能家居品类的用户运营，包含但不限于在 App 、社区、社群，开展互动、教育、商业化、裂变等； 2. 参与用户体验提升计划，参与团队不断完善用户旅程，给用户提供极致的产品体验； 3. 负责 App 内自营商城日常运营和活动策划，不断总结和丰富运营玩法； 4. 对用户活跃、裂变、商业化指标负责。

1. 2027届毕业生，本科及以上学历，专业不限，市场营销、电子商务等相关专业优先； 2. 热爱智能家居类、消费电子类行业，对 AI 类产品感兴趣，善于用 AI 提升工作效率； 3. 具有用户同理心、工作认真仔细，对用户有敬畏之心； 4. 具备较强沟通协调能力，能够积极主动的推动和协调各部门配合完成任务； 5. 本科及以上学历，英语6级，具备优秀的读写能力。

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  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 anker-in/campushirecn's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    anker-in/campushirecn'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

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • 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.

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The numbers game

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