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I made an AI tool to run my job search, and it helped me get my dream role
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本文讲述了前Waymo、苹果和LinkedIn高管Mark Quinn在求职过程中利用AI工具CareerBuddy GPT的经历。在经历了数月的求职困境后,Quinn借助AI分析、简历优化、模拟面试等功能,最终成功获得了Pearl公司AI运营高级总监的职位。AI不仅帮助他找到了更精准的求职方向,还鼓励他申请了原本认为自己不胜任的职位,实现了职业生涯的突破。文章强调了AI在求职过程中的价值,并分享了Quinn的经验。

💡 **求职困境与AI介入:** Mark Quinn在求职过程中遇到瓶颈,转而利用AI工具CareerBuddy GPT。该工具帮助他分析自身情况、优化简历、撰写求职信,并寻找合适的联系人,从而改变了求职的被动局面。

📝 **AI助力简历与面试:** CareerBuddy GPT能够评估Quinn的匹配度,优化简历以突出相关经验,并为特定职位撰写求职信。此外,AI还提供模拟面试,帮助Quinn提升面试技巧,为最终获得职位奠定了基础。

🎯 **AI的独特建议与应用:** AI给出的建议有时出人意料,比如建议Quinn为某公司制作蛋糕以展现积极态度。更重要的是,AI能够解读招聘信息,指出Quinn的经验与职位要求的契合点,鼓励他申请原本犹豫的职位。

🚀 **从怀疑到实现梦想:** Quinn起初对自己的资质缺乏信心,但AI的积极反馈促使他申请了Pearl公司AI运营高级总监的职位。最终,他不仅找到了工作,更是实现了职业梦想,这充分证明了AI在求职中的强大作用。

Mark Quinn used AI as an advisor in his job search. He landed what he says is his dream job after AI encouraged him to apply for the role.

Mark Quinn is the senior director of AI operations for Pearl, an AI search platform for professional services. Before getting the job, the longtime tech exec, who'd held leadership roles at Waymo, Apple, and LinkedIn, created an artificial intelligence tool, now called CareerBuddy GPT, to help level up his search. The tool determined whether he was a good fit, updated his résumé to highlight relevant experience, wrote cover letters, and identified people to contact about the position. The following has been edited for brevity and clarity.

When I turned to AI to help with my job search, I was five months into it and wasn't getting the traction that I thought I would get. I felt like I had done everything, which obviously was not the case. When you're in a moment like this, you can feel stuck and be blinded to the possibilities.

So, I went to AI and said, "I don't know what to do. I'm an exec in tech, and here's my résumé. I'm applying to these jobs, and I'm not having a lot of success."

It was able to walk me back from the edge and say, essentially, "Look, you're at this level, and your average job search time should be ABC, and you're only this far in. So, first, calm down."

It sounds silly, but it was really helpful to hear. Then it went on to say, "Now, let's talk about some things. I'm hearing what you did do, but here are some things that maybe you could do that I'm not hearing."

A research partner

Some of its suggestions were unexpected. One was to make a cake for someone, because it was a company that appreciates bold moves. I don't know if that was really good advice, but it did come up with that.

It would also suggest how to tailor a message to a particular person. Or, for example, to use email, not LinkedIn, because they're not active on LinkedIn — those sorts of tidbits.

One of the taglines I've developed from my experience is that one way to think about AI is not as a tool but as the world's best expert in whatever you need help with. The more you leverage AI through that lens, the more you get out of it.

I used it to create what's called a panel of experts. Now, you've got AI playing multiple roles at once. It can slice and dice and give you different views and a synthesized opinion.

Another example is downloading the profile information for the person you're going to interview with. You can have AI assume the role of the interviewer and do a mock interview, and you can do it live with your voice, and then get feedback on how you performed.

It also started calling out things like applying to incremental CEO roles. It recommended doing more cold outreach, which I hadn't leaned into too much. It helped me figure out a plan that worked for me and language that worked for me to do that, and it gave me concrete steps.

'You're missing it'

The way that I ended up at Pearl is interesting. When I saw the job description, I passed it up because, on paper, it's different from anything I'd done before. Now it's laughable, because I'm in it, and everybody's connecting my passion and my past with the role.

Maybe a week later, I saw the posting again and thought, "Why am I saying 'no' to myself? Let me just drop this thing into CareerBuddy GPT and see what it says.

I didn't think that I was qualified, but I said, "Give me your objective assessment." It came back and said, "Hey, you're missing it. Your résumé doesn't speak to it, but here's how your experience aligns."

It encouraged me to apply. So, then I did the network outreach, and I had a connection, which helped open the door. One thing led to the next. But what got me to apply was leveraging AI to the extent of not only answering, but also truly advising. I say trust, but verify.

It told me to do something different than what I thought was right. I can represent me, what I am, and what I'm not. AI can look between the lines and challenge and question.

When I was interviewing with our CEO, he asked me, toward the end of the interview, what my dream job was. I got about 15 to 20 seconds into stumbling around, and I said, "Look, I'm just going to be honest with you. I don't know how to spin this to make it sound good, because the honest answer is this: This job is my dream job."

No more throwing darts

After I started using AI, my job search still took a bit of time — maybe another five months or so. But I went from feeling like I was just throwing darts to where it felt much more targeted and precise. And, I'd gone from essentially getting no response to finding the right opportunities, having conversations, and it was a matter of finding the right fit. That can take time.

We're in a moment when people and companies are about to be left behind, and I want to help that not be the case. The opportunity to go to a company that really gets it, is going after this full force, and wants to rewire with AI — that sounds like the hardest role of my career, but also the most fun and the most relevant thing I could be doing for this moment.

So, not only did I stumble into the job, but I stumbled into my dream job.

Do you have a story to share about your job hunt? Contact this reporter at tparadis@businessinsider.com.

Read the original article on Business Insider

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