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Open nowPosted 9 hours agoWe saw it 72 min after it went up

PSM 项目供应经理

li/referral808 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowPSM 项目供应经理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.

13.9% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 10 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 9 hours ago

li/referral median: 10 days open

The posting

1.项目供应链全周期管理 负责智能眼镜整机项目供应链策略输出，负责样品、试产、量产到 EOP全生命周期内BOM 零件的交付、库存及风险管控，支撑试产、量产订单交付。 2. 物料需求与库存管理 根据需求计划管理ODM 零件需求预测，管控风险物料备料，识别呆滞物料风险，项目EOP阶段呆滞物料管控与处理。 3. 供应风险前置预警 识别零部件供应商产能、工艺、原材料、地缘、停产、价格波动等供应风险，建立风险台账，制定应对预案。 4. 物料异常处理与问题闭环 主导物料交期延迟、缺料、来料品质异常、物料替代、物料呆滞、物料报废等供应问题，协同ODM、质量、研发、采购制定应对方案并推动改善、CAPA 闭环。 5. ECN 管理 跟进研发 ECN 变更，协同ODM 和零部件供应商管控新旧物料切换、消耗、清库，进行断点管控。

1. 本科及以上，供应链、工业工程、电子、材料等相关专业优先； 2. 5 年以上消费电子硬件供应链 / 项目供应经验， AR / 智能眼镜、TWS、穿戴硬件项目 PSM/SPM 经验优先； 3. 有ODM管理经验、AVAP 物料管控经验；熟悉智能眼镜核心物料及生产流程、工艺、设备、质量管控者优先； 4. 熟悉硬件 NPI 流程：EVT/DVT/PVT/MP，有BOM、ECN、EOP 呆滞管理经验者优先； 5 能接受必要出差，熟练使用 Excel、MRP系统，有看板搭建、系统优化经验者优先； 6. 有较强的协调沟通能力、学习能力，可自主推动解决项目问题。

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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.
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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.

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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.

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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.

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