ReportWire

Tag: corporate recruiting

  • To ease recruiters’ fears of being replaced by AI, Zillow experimented with ‘prompt-a-thons.’ Now the real estate giant has 6 new recruitment tools | Fortune

    Recruiting teams are, in many ways, ground zero for AI disruption. A plethora of tasks historically performed by recruiters can now be performed by AI technology. But…with a world of possibilities at one’s fingertips, it can be difficult to know where to begin.

    Real estate tech giant Zillow has launched several AI tools for recruitment since it began experimenting in late 2023. HR Brew recently sat down with Roz Harris, Zillow’s VP of talent acquisition, engagement, and belonging, to discuss how her recruitment team has identified and adopted AI solutions.

    Where to begin? In November 2023, Harris’s team started looking into how AI could be used by recruiters.

    “We started looking at the possibility of AI. And what we found was, when you look at the role of a recruiter and what they do, about 80% of our jobs were what you would hear in the conferences about the mundane tasks” that AI could replace, she told HR Brew.

    To help ease recruiters’ fear of being replaced by AI, Harris and her team experimented with AI with prompt-a-thons.

    Zillow already used hackathons to develop consumer-facing features and products; Harris’s team adopted the practice for its internal AI use. For example, prompt-a-thon teams expressed a desire for more coaching on having difficult conversations with hiring managers. They devised a prompt that could be used on ChatGPT, including capturing details about the issue, as well as emphasizing soft skills like maintaining a rapport or trust with hiring managers. The result: solutions devised by recruiters themselves, not a top-down edict from leadership.

    “The problems that they would go to tackle were ones that, I think, if I had to put my leadership team in a room and say, ‘Let us go do this,’ we wouldn’t have come up with the same questions and challenges at all,” Harris said.

    After identifying the problems and solutions, Harris would bring in, what she called, the cavalry—the legal, enterprise tech, engagement and belonging, and TA teams—to assess the tools and determine usability.

    Prompt-a-thons have so far resulted in six AI recruitment tools, Harris said. Some were developed in-house, but most are vendor tools that Harris’s team were either early adopters of or helped develop. Harris said she hasn’t yet been told “no” by the cavalry, largely because she has followed their best practices, such as avoiding decision-making tools and personal identifiers (like race, gender, or identifying keywords) to assess candidates.

    “Luckily, I’ve been around for a while, and so has my leadership team. We kind of always knew we didn’t want AI to make decisions,” she said. “We stayed away from tools and things that did that.”

    Measuring success. The tools used by Harris’s team focus both on assisting recruiters and improving the candidate experience.

    On the job-seeker side, Zillow’s AI tools include assistants that help candidates find and apply to roles, and schedule and prepare for interviews. On the recruiter side, recruitment marketing software or LinkedIn Recruiter help source high-quality candidates, while another tool analyzes and provides feedback on interviews.

    “If you’re applying to a job at Zillow, you can have assistance in helping you do that, and it’ll help match you to some roles as well. We also then use AI to help the recruiter,” Harris said.

    Zillow’s AI-powered interview scheduler is intended to speed up hiring and alleviate recruiters’ workloads, which are huge; some roles, such as sales or marketing specialists, receive 4,000+ applications within a day of being posted.

    “As someone who started their career as a recruiting coordinator, I think it’s the scheduling tool that’s actually my favorite,” Harris said.

    In the past, Harris said recruiting coordinators would spend over a week coordinating schedules for interviews. Now, candidates receive a text or email with a link that shows the interviewer’s availability, and schedules a meeting, which has cut time spent scheduling an interview to 30 minutes—a 97% reduction saving recruiters as many as 450 hours per month.

    For any recruiting coordinator sweating at the sight of that stat, Harris shared good news: “They’ve upgraded their skills. They all still work at Zillow.”

    Many former coordinators now work in Zillow’s employee service center, or in executive assistant or program manager roles; others help manage the scheduling tool. (And, when the October AWS outage crippled the internet, those former coordinators helped manually schedule interviews.)

    Zillow has also leveraged AI to recruit candidates from a wider geographic area.

    After embracing its remote-first work model, called Cloud HQ, Zillow found it wasn’t a well-known employer in some cities. Harris’s team used tools, including newsletters and targeted actions to drive applications, as well as LinkedIn Recruiter to save time sourcing better candidates, Appcast, a recruitment advertising technology provider that Zillow said helped recruit across regions. Using those three channels, 558 hires were made in 2025 through mid-December.

    “We had a reputation in those areas where we had offices. Well, when you flip that on the head and say, we’re going to be a Cloud HQ and we’re going to be able to hire across the country, we don’t have a reputation everywhere,” she said. “AI helped us build reputation.”

    This report was originally published by HR Brew.

    Paige McGlauflin, HR Brew

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  • Recruiters caution against using AI to write job postings because it’s been trained on ‘crappy’ descriptions | Fortune

    Thinking of using AI to write a job description for your company? Experts and recruiters are cautioning against it.

    What’s wrong with automating this part of the often long, difficult hiring process, especially for highly specialized IT roles? While using AI might be a time-saver, according to many in the recruiting world, it also robs the company of the ability to think deeply about what a job requires, as well as an opportunity to connect in a more human way with candidates.

    Paul DeBettignies, the founder of Launch Hiring as well as founder and strategist of Minnesota Headhunter LLC, said that he doesn’t have a lot of faith in the use of AI for crafting job descriptions.

    “If we’re going to automate everything, then hiring, finding a job, and recruiting is going to become even more transactional than it’s already been,” DeBettignies said. “We all already say we don’t like it, so we’re just going to do more of it?”

    DeBettignies added that recruiting has always relied heavily on tech tools. Many years ago, a time-strapped recruiter might have used cut-and-paste to slap together a job description from other job descriptions found online, such as Craigslist. AI might only make this trend worse.

    “For years, job descriptions have always sucked, and now that we’re using AI, AI has been training on crappy job descriptions,” DeBettignies said.

    Failure to launch. Creating a good job description relies on insightful questioning. Managers must articulate who they might need to hire and why. According to recruiting author, facilitator, and speaker Katrina Collier, “most of them get it wrong.”

    Fortune reported last year that 66% of managers are “accidental”; Collier said accidental managers haven’t been trained in managing a team, let alone in replacing someone’s role within it.

    “Unfortunately, the managers just want recruitment to go away, it’s their least favorite task,” Collier said. “When you’ve got the likes of any of the large language models, OpenAI, whatever it is, they can just type in…whatever, and up comes a job description and they go roll with that.”

    Collier said the description generated by AI often isn’t specific to a company and team. Instead, she encourages recruiters to have an internal conversation to work it out.

    If a company chooses to lean into the AI description, DeBettignies can ask the model why someone might not want to apply for the role. He often gets the same three answers: There are too many bullet points, there isn’t information on why someone would want to work at a company, or there isn’t enough information on salary or benefits.

    “My advice is to not fully automate this,” DeBettignies said. “I do appreciate speed and I appreciate efficiency. Hopefully it does get us to…where we are now able to do the human things more and better and deeper than we’ve been able to do.”

    AI as a spackle of sorts. To some, like Steve Visconti, the CEO of cybersecurity company Xiid, AI is a tool that could be used to help fill gaps in job descriptions.

    Visconti said he believes AI is a good tool for help with job postings, “because you don’t want to overlook something that should have been obvious.”

    “I would write the job description—which I do, by the way, I do this—and then I generate an AI version,” Visconti said. “Then I try and merge the two and see how I can make it better. So, in a sense, AI didn’t save me a lot of time, it just made it better in that specific case. I think it’s a great tool, very valuable.”

    Visconti pointed out how AI could help fill in required skills for a vital IT position, including cloud native, Kubernetes, OpenShift, and so on.

    Collier agreed that the tool could be helpful if “you really know who you need to hire” and AI is used to help flesh out a description.

    “It can be amazing if you’ve done all the research, but often it’s just a case of, I need a quick win,” Collier said. “They just go and ask, and then [AI is] pulling in all the badly-written job descriptions that exist in the world and going, ‘Yeah, here’s a great one.’”

    This report was originally published by IT Brew.

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    Caroline Nihill, IT Brew

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