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Open nowPosted 80 days ago

项目经理

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now项目经理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.

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 80 days ago

li/referral median: 1 days open

The posting

【项目管理体系建设】 1. 负责项目管理流程、标准与工具的制定、落地和持续优化，提升项目管理成熟度。 2. 推动并维护项目全生命周期管理，包括立项、规划、执行、交付及复盘。 【多项目/项目组合管控】 1. 统筹多个研发项目进度、质量、资源、风险和成本，推动跨团队、跨部门协同，确保项目组合效益最优化。 2. 组织定期项目状态review、里程碑评审和高层汇报，及时发现并解决共性与系统性问题。 【项目数据与过程监控】 1. 搭建和维护项目管理数据看板，负责项目进度、资源、风险、变更等核心数据的收集、分析与可视化展示。 2. 基于数据驱动开展项目健康度评估、趋势分析，为决策层提供有力数据支持。 【项目管理赋能和培训】 1. 对项目经理、研发团队持续开展项目管理最佳实践、知识分享与能力提升活动。 2. 推动敏捷、DevOps、自动化等先进项目管理模式在团队持续落地。 【流程和工具创新】 1. 结合团队开发特性，探索并推广智能化/自动化的管理工具与流程，提高项目协作效率与交付质量。 2. 持续关注业界项目管理趋势与创新方法，并引入至团队实践。 【战略对齐和业务支撑】 1.参与并理解部门产品线的年度/季度规划，引导项目与业务战略一致。

1. 本科及以上学历，计算机、软件工程、信息管理等相关专业优先。 2. 5年及以上IT/互联网研发类项目管理或大型PMO相关工作经验。 3. 熟悉研发工作流程，具备Scrum/敏捷、DevOps等经验，能主导复杂技术项目或项目群管理。 4. 熟练掌握项目管理工具与方法论（如PMP、 ACP、项目组合管理、OKR等），具备项目管理体系设计与流程改进经验。 5. 优秀的数据分析、逻辑思维及问题解决能力，善于推动跨部门、跨团队合作与冲突管理。 6. 熟练使用研发管理自动化工具，以飞书项目优先。

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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.

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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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